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WO2014012508A1 - Intelligent operation navigation assistant system and method for taxicab - Google Patents

Intelligent operation navigation assistant system and method for taxicab Download PDF

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Publication number
WO2014012508A1
WO2014012508A1 PCT/CN2013/079633 CN2013079633W WO2014012508A1 WO 2014012508 A1 WO2014012508 A1 WO 2014012508A1 CN 2013079633 W CN2013079633 W CN 2013079633W WO 2014012508 A1 WO2014012508 A1 WO 2014012508A1
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WO
WIPO (PCT)
Prior art keywords
module
vehicle
data
passenger
data center
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PCT/CN2013/079633
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French (fr)
Chinese (zh)
Inventor
周文伟
Original Assignee
Zhou Wenwei
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Publication of WO2014012508A1 publication Critical patent/WO2014012508A1/en

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/024—Guidance services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information

Definitions

  • the invention relates to an auxiliary information system for finding a passenger source in a taxi, which can help the taxi driver to find the source of the passenger more effectively, and can change the taxi intelligent operation navigation assistant system for passive waiting and blind street hunter. And methods are in the field of navigation system manufacturing.
  • Design purpose to avoid the deficiencies in the background technology, to design a taxi intelligent operation navigation assistant system that can help taxi drivers to find customers more quickly and efficiently, and can change passive waiting and blind street sweeping. And methods.
  • the taxi intelligent operation navigation assistant system designed by the invention can provide an effective route and position recommendation to the driver when the taxi is in an idle state, thereby helping the driver to find the source of the passenger more efficiently and quickly.
  • the operation method is as follows: 1. Under the no-load condition of the taxi, the display screen of the system displays the current position and driving direction of the vehicle. The system predicts the next possible driving direction of the vehicle by analyzing the map information. For example, if there is no turning intersection at present, the possible driving direction is to keep the current driving direction or reverse the head; if there is an intersection in front, The possible driving directions are to continue forward, turn left, turn right and reverse the head. 2.
  • the system obtains relevant data from the data center for the roads that are currently predicted for each driving direction, and analyzes the no-load rate, the number of empty taxis, the average taxi speed, the number and frequency of taxis on the road.
  • Various factors such as weather, real-time traffic conditions, etc., evaluate the passenger opportunities of each road, and can present them to the driver through colors, charts, numbers and texts. 3.
  • the driver performs the above-mentioned analysis operations in real time and gives the results, helping the driver to continuously find the optimal passenger route. 4.
  • the driver can obtain the data of the no-load rate, the number of idling vehicles, the average driving speed, the number of users calling, the frequency and the weather at any historical time by selecting the location point or inputting the location information of the location, or Obtain the current real-time information of the above data at the location point, and the system can also provide data prediction analysis at a certain point in the future. This can help the driver to have a clearer understanding of the passenger opportunities in each area and location. 5.
  • the system will completely record the travel trajectory of all taxis in the system, the data of passengers getting on and off, the mileage and charges of each passenger, and send it back to the data center through the wireless communication module for storage as the self-learning data of the system. , thereby continuously improving the effectiveness of system recommendations.
  • the invention comprises a vehicle device, a satellite positioning module, a communication module such as GSM/GPRS or 3G, a display module, an intelligent operation navigation processor module, a map module, a meter module and a system data center.
  • the satellite positioning module is installed on the taxi to obtain the real-time geographic location of the vehicle in the system, and sends the data to the data center; the communication module such as GSM/GPRS or 3G is installed in the taxi to complete the system data.
  • the vehicle charges data for each passenger and whether the taxi is in an empty state;
  • the intelligent operation navigation processor module is the core module of the system, which is used to process various data obtained and communicate with the system data center. Obtain the analysis result of the data center and display the recommendation result on the display device; the map module, as the module of the map information source.
  • the system data center as the whole system and core, consists of multiple servers and supporting software. It is responsible for storing and calculating the data obtained by the system, obtaining corresponding results, and returning to the vehicle module.
  • a taxi intelligent operation navigation assistant system which is composed of at least a vehicle-mounted module with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, a satellite positioning group, a system data center, and a mobile communication base station.
  • the GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group, and sends it to the system data center.
  • the system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, the system data center. It is responsible for storing the data, and performing related calculation according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • a taxi intelligent operation navigation assistant method when the taxi is in an idle state, the system starts the intelligent navigation assistant program, according to the real-time positioning information of the vehicle acquired by the GPS module, after being processed by the processor, combined with the map module
  • the map information displays the current range of icons on the display to indicate the current real-time position and driving direction of the vehicle.
  • the GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure data continuity and reliability.
  • the interval can be adjusted by the system setting, the processor receives the above positioning information and map information, calculates a predicted driving direction of the vehicle, and transmits the information to the system data center through the wireless communication module to issue a calculation request; system data After receiving the request, the center obtains real-time weather data of the vehicle area released by the weather station through the network, and can be divided into a normal mode and a rain and snow day mode according to weather conditions: (1) if the current weather is not rain or snow, the normal mode is entered. Query the relevant 5KM range around the request vehicle Historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in the surrounding area, etc.
  • the processor After weighted analysis and calculation, all possible driving of the requested vehicle is obtained. In the direction, the corresponding passenger opportunity size, the result is returned to the onboard module processor of the requesting vehicle, the processor receives the calculation result of the data center, displays the result on the display screen, and uses color to indicate each type of driving
  • the direction of the passenger opportunity green means that the direction of the passenger is very large, yellow means normal, red means the chance is small; (2) if the current weather is rain and snow, then enter the rain mode, in the case of rain, the customer's taxi location Usually concentrated in some convenient rain shelter locations, the system will also perform special calculation and analysis according to the special conditions.
  • the system queries the relevant historical data within the 5KM range around the requested vehicle and the current real-time data sent by other vehicles, including the road no-load. Rate, number of empty vehicles, average driving speed, number and frequency of users calling in the surrounding area
  • Rate rate
  • the position of the passenger with the largest passenger opportunity around the requested vehicle is obtained, and then the real-time distance between the position and the requested vehicle is calculated, and the optimal passenger point is obtained by comprehensive analysis, and the result is returned to Request vehicle onboard module processor
  • the processor receives the calculation result, displays the result on the display screen, marks the optimal three parking positions in the periphery with a star symbol, and displays the navigation to the first optimal position calculated by the system by default. At this point, the driver can follow the system navigation. If the driver thinks that the other marked positions are more suitable, other positions can also be selected as the destination by keyboard input.
  • the data center analyzes the data sent by the onboard module (1), it is found that the surrounding airborne rate is extremely high, there are many empty vehicles, and the number of users who display the data through the calling system (such as the taxi calling system) is When the proportion of system data is very high, the system will switch to the optimal waiting point mode. That is to say, in the surrounding area, there are very few users who take taxis on the roadside. Basically, the car is called by the car system. Then the driver will no longer be effective in sweeping the streets, but will have a lot of empty mileage. Waste fuel, increase vehicle wear, it is better to park in a certain area, waiting to go is more reasonable.
  • the data center calculates the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent to the vehicle module (1), and obtains the best waiting place. The driver stops at these waiting places. Once a user requests a car, the data center immediately sends it to the car module (1) and displays it on the display. The driver immediately rushes to the calling location after receiving the request, both improving The efficiency, which effectively reduces the empty car mileage and fuel consumption, but also makes the driver easier and more convenient.
  • the invention avoids the passive waiting for the user to call the car; the second is to avoid the driver driving the empty taxi to sweep the street, looking for a source of tourists, so that the cost of the seeker is greatly reduced, and the time of no-load is large.
  • the reduction is reduced, the fuel consumption is greatly reduced, and the operating income is increased under the premise of reducing the labor intensity of the taxi driver; the third is low carbon and environmental protection.
  • FIG. 1 is a schematic diagram of a system configuration of an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram of a device module according to an embodiment of the present invention.
  • FIG. 3 is a logic flow diagram of a system for carrying passenger intelligent navigation according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram showing a conventional mode recommended route display of an assistant system according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram showing a recommended route and position display of a rainy day mode of an assistant system according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of the processor 101 receiving the calculation result and displaying the result on the display screen.
  • Figure 7 is a system logic diagram.
  • Fig. 8 is a graph showing the results.
  • Figure 9 is a diagram showing the results of the system display.
  • a taxi intelligent operation navigation assistant system which is composed of at least a vehicle module 1, a satellite positioning group 2, a system data center 3 and a mobile communication base station 4 with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, and the vehicle module 1
  • the GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group and sends it to the system data center.
  • the system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, and the system data.
  • the center is responsible for storing the data and performing related calculations according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • the onboard module 1 includes a processor 101, a wireless communication module 102, a GPS module 103, a power supply circuit 104, a display screen 105, a map module 106, a keyboard input module 107, and a meter device interface 108.
  • the power supply circuit 104 supplies power to each module.
  • the processor 101 and the wireless communication module 102 are in two-way data communication, and the processor 101 receives data information from the GPS module 103, the map module 106, the keyboard input module 107, and the meter device interface 108, and the processor 101 signal output terminal displays the signal input of the display 105. end.
  • the present invention provides an embodiment in which the system activates an intelligent operation navigation assistant operation when the taxi is in an unloaded state, helping the taxi driver using the system to find the best passenger route.
  • FIG. 1 is a schematic diagram showing the system configuration of an embodiment of the present invention.
  • the system consists of an onboard module 1 (with a GPS satellite positioning module and a communication module such as GSM/GPRS or 3G), a satellite positioning group 2, a system data center 3, and a mobile communication base station 4.
  • an onboard module 1 with a GPS satellite positioning module and a communication module such as GSM/GPRS or 3G
  • a satellite positioning group 2 such as GSM/GPRS or 3G
  • system data center 3 such as GSM/GPRS or 3G
  • mobile communication base station 4 such as GSM/GPRS or 3G
  • the vehicle module 1 is equipped with a GPS module, and obtains positioning information of the vehicle equipment through a GPS satellite group, such as latitude and longitude coordinates, speed, direction, and the like. The positioning information is simultaneously sent to the system data center.
  • the system data center is composed of multiple servers and supporting software.
  • the system data center communicates with the vehicle module through the mobile communication platform.
  • the vehicle module transmits the recorded data to the system data center.
  • the system data center is responsible for storing the data and according to the vehicle module.
  • the request is related to the calculation, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • Figure 2 shows the internal structure of the onboard module.
  • the processor 101 the wireless communication module 102, the GPS module 103, the power supply circuit 104, the display screen 105, the map module 106, and the keyboard input module 107 are included.
  • the processor 101 is configured to process an information system such as GPS positioning data and wireless communication data obtained by the module, and send a request to the system data center to obtain feedback from the data center and control the result display.
  • the wireless communication module 102 is used for data communication between the module and the system data center.
  • the GPS module 103 is configured to acquire positioning information of the in-vehicle module, including latitude and longitude coordinates, speed, direction, and the like.
  • Power circuit 104 is used to power each module.
  • Display 105 is used to display the results of operating the navigation assistant system to the driver.
  • the map module 106 is used to store map information data that the system will use when performing the navigation assistant's calculations.
  • the keyboard input module 107 is a keyboard device for inputting data, such as inputting a place name when querying passenger system data of a specific place.
  • the meter device interface 108 is used to connect the module and the taxi meter device to obtain the charge data for the passenger each time the taxi is carried.
  • the starting point is the real-time location of the vehicle, constantly changing.
  • the navigation system analyzes the current possible route of the vehicle, and gives the size of the passenger opportunity on the route and location for each possible route, and presents it to the driving by means of charts, numbers, texts, voices, etc. member.
  • the system will refer to the taxi no-load rate data for that line and location when analyzing the size of the passenger capacity for each line and location.
  • the no-load rate data refers to the ratio of the number of empty taxis to the total number of taxis, divided into historical data and real-time data.
  • the historical data is the average taxi idling rate on the route and location through the history of the system;
  • the real-time data is the real-time taxi idling rate on the line and location at the current time obtained by the system. In general, the higher the no-load rate, the smaller the passenger opportunity.
  • the system will refer to the number of taxi-laden vehicles on that line and location when analyzing the size of the passenger space for each line and location.
  • the number of empty vehicles refers to the total number of empty taxis on the line and location, divided into historical data and real-time data.
  • the historical data is the number of empty vehicles in the taxi and the location of the taxi through the history of the system;
  • the real-time data is the current number of real-time taxi empty vehicles on the line and location obtained by the system. In general, the larger the number of empty vehicles, the smaller the passenger opportunity.
  • the system When analyzing the size of the passenger space for each line and location, the system will refer to the average taxi speed data on that line and location.
  • the average driving data refers to the ratio of the driving distance of all taxis on the line and the position to the driving time, and is divided into historical data and real-time data.
  • the historical data is the average average taxi speed of the line and location obtained through the historical record of the system;
  • the real-time data is the real-time taxi average travel speed of the line and location at the current time obtained by the system.
  • the average traveling speed is related to the congestion condition of the road. In a certain speed range, it can be considered that the smaller the average traveling speed is, the more congested the road is, and the smaller the passenger capacity is.
  • the system will refer to the number and frequency of calls requested on each line and location.
  • the number and frequency of the request for the car refers to the number and frequency of the taxis that the user calls the taxi through the system, and the number and frequency of the users that the system can obtain by other means of calling the car (such as the taxi call of the local city taxi).
  • the data is divided into historical data and real-time data: historical data refers to the results obtained by the system through recorded historical data; real-time data refers to the number and frequency of calls taken by the system at the current time. In general, the fewer the number of requests for a car and the lower the frequency, the smaller the passenger opportunity.
  • the system will refer to the current weather conditions. For example, if the current weather conditions are raining, the system will display a rainy day mode, which lists which lines and locations have the best passenger opportunities in the rainy days.
  • the system will refer to the data of all taxis in the system, the passengers' access data, the mileage and charges of each passenger, and complete the self-learning of the system to continuously improve the effectiveness of the system recommendation results. For example, the system ranks all taxi drivers in the system (the highest revenue per unit time or the lowest fuel consumption per unit of income). For the top drivers, the system analyzes their driving route trajectories. A reference value for system passenger opportunity analysis to improve the actual effectiveness of the system.
  • the system provides users with access to a variety of data from any location at any time.
  • the user can obtain the data of the no-load rate, the number of idling vehicles, the average traveling speed, the number and frequency of the user's car, and the weather at any historical time by selecting the location point or inputting the location information of the location, and also obtaining the data in real time.
  • the current point of the above data the system can also provide data prediction analysis at a certain point in time in the future.
  • Embodiment 2 On the basis of Embodiment 1, a taxi intelligent operation navigation assistant method, when the taxi is in an idle state, the system starts the intelligent navigation assistant program.
  • the real-time positioning information of the vehicle acquired by the GPS module 103 after processing by the processor 101, in combination with the map information provided by the map module 106, the current range map is displayed on the display screen (the map of the range of 5KM around the vehicle is displayed by default, and the driver can manually adjust the map.
  • the map displays the range), indicating the current real-time location and direction of travel of the vehicle.
  • the GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure the continuity and reliability of the data, and the interval time can be adjusted by the system setting.
  • the processor 101 receives the positioning information and the map information, calculates a possible driving direction of the predicted vehicle, and transmits the information to the system data center through the wireless communication module 102 to issue a calculation request.
  • the system data center first queries the real-time weather conditions of the vehicle area in the system (obtaining data released by the weather station through the network), and can be divided into a normal mode and a rain (snow) day mode according to weather conditions. (1) If the current weather is not raining (snow), enter the normal mode, and query the relevant historical data in the range of 5KM around the requested vehicle and the current real-time data sent by other vehicles according to the system logic flow chart shown in FIG.
  • the processor 101 receives the calculation result of the data center, and displays the result on the display screen, as shown in FIG. 4: color indicates the passenger opportunity of each driving direction, and green indicates that the driving direction is very large. , yellow means general, red means chance is small.
  • color indicates the passenger opportunity of each driving direction, and green indicates that the driving direction is very large. , yellow means general, red means chance is small.
  • the system will also perform special calculation analysis according to the special situation.
  • the logic flow chart is shown in Figure 5:
  • the system queries the 5KM range around the request vehicle. Relevant historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in surrounding areas, etc. After weighted analysis, the requested vehicle is obtained. The location of the surrounding passengers is the largest, and by calculating the real-time distance between the locations and the requested vehicle, comprehensive analysis results in an optimal passenger point, and the result is returned to the on-board module processor 101 of the requesting vehicle.
  • the processor 101 receives the calculation result, and displays the result on the display screen, as shown in FIG.
  • the three optimal taxi positions in the periphery are marked with a star symbol, and the first optimal navigation to the system calculation is displayed by default. position. At this point the driver can follow the system navigation. If the driver thinks that the other marked positions are more appropriate, you can also select other locations as a destination by keyboard input.
  • the above system operation process is continuous in real time, that is, during the running of the vehicle, the vehicle module periodically transmits positioning and other information every 2 seconds, the system performs uninterrupted analysis and calculation, and displays the result in real time on the display screen.
  • the driver can query the passenger data at any position (including the air load rate, the number of empty vehicles, the average driving speed, the number and frequency of the vehicles, etc.).
  • the driver only needs to input the location through the keyboard input device, and obtains the coordinate information of the location through the map query, and the processor 101 sends the location information to the system data center to request the calculation result.
  • the data center queries related data (including historical data and current real-time data) in the system, and returns the result to the processor 101, the processor. 101 then the result is displayed on the display.
  • the system logic diagram is shown in Figure 7, and the results are shown in Figure 8.
  • Embodiment 3 When the data center analyzes the data sent by the vehicle-mounted module (1), it is found that the surrounding air-load rate is extremely high, the number of empty vehicles is very large, and the data is displayed by the user of the calling system (such as the taxi calling system). When the number of people in the system data is very high, the system will switch to the optimal waiting point mode.
  • a limit value can be set, for example, the idle rate exceeds 70%, and the number of empty vehicles exceeds 50 in one hour.
  • the ratio of the number of vehicles calling through the system exceeds 80%, and the optimal waiting point mode is activated when the above conditions are met. Of course, this condition can be continuously optimized and adjusted through the system's accumulated data.
  • the system will comprehensively analyze the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent by the in-vehicle module (1) acquired by the data center, and get the best waiting time.
  • the passenger location ensures that the driver can get to the location where the car is most often called in the fastest time.
  • the data center returns the results to the processor 101, which then displays the results on the display and identifies the three best candidate points with a triangular icon indicating that the driver is parked at these waiting locations.
  • the system displays the results as shown in Figure 9.

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Abstract

The present invention relates to an auxiliary information system for a taxicab to find a passenger source, and an intelligent operation navigation assistant system and method for a taxicab, which can not only help a taxicab driver to find a passenger source rapidly and more effectively, but can also change the situation of passive waiting and blindly driving on a street to find a passenger, comprising a vehicle device, a satellite positioning module, a communication module (such as GSM/GPRS or 3G, etc.), a display module, an intelligent operation navigation processor module, a map module, a meter module and a system data centre and the like. When a taxicab is in an empty state, according to the current position of the vehicle, this system will analyze the passenger-carrying data of a nearby area, recommend the route and position having the optimal passenger-carrying opportunity to the driver and display same on a display device. This system will record the driving tracks, passenger getting-on/getting-off data, driving mileage and fee of each occasion of passenger carrying and other data of all taxicabs in the system, which serves as the self-learning data of this system, so as to continuously improve the recommending effectiveness of the system.

Description

出租车智能营运导航助理系统及方法Taxi intelligent operation navigation assistant system and method [根据细则26改正02.09.2013] [Correction according to Rule 26 02.09.2013]
本发明涉及一种出租车寻找客源的辅助信息系统，既可以帮助出租车驾驶员更有效的快速寻找到客源，又可以改变被动等待和盲目扫街寻客的出租车智能营运导航助理系统及方法，属导航系统制造领域。 The invention relates to an auxiliary information system for finding a passenger source in a taxi, which can help the taxi driver to find the source of the passenger more effectively, and can change the taxi intelligent operation navigation assistant system for passive waiting and blind street hunter. And methods are in the field of navigation system manufacturing.
[根据细则26改正02.09.2013]　 [Correction according to Rule 26 02.09.2013]
当前出租车市场，出租车驾驶员在寻找客源时，通常只有两种方式：一种是被动等待用户叫车，另一种也是最为常见的则是驾驶员驾驶空载出租车扫街，寻找客源。这两种方式下，出租车驾驶员都处于比较被动和盲目的境地，导致寻客的成本较高、空载的时间和油耗都比较大。这种情况不仅影响了出租车驾驶员的生意和收入，也提高了需要打车的消费者的成本，同时也不利于社会的低碳和环保。 In the current taxi market, when taxi drivers are looking for a source of tourists, there are usually only two ways: one is to passively wait for the user to call the car, and the other is the most common is the driver driving an empty taxi to sweep the street, looking for Customer source. In these two ways, taxi drivers are in a relatively passive and blind situation, resulting in higher cost of homing, relatively no-load time and fuel consumption. This situation not only affects the business and income of taxi drivers, but also increases the cost of consumers who need to take a taxi, and is also not conducive to the low carbon and environmental protection of society.
[根据细则26改正02.09.2013]　 [Correction according to Rule 26 02.09.2013]
设计目的：避免背景技术中的不足之处，设计一种既可以帮助出租车驾驶员更有效的快速寻找到客源，又可以改变被动等待和盲目扫街寻客的出租车智能营运导航助理系统及方法。 Design purpose: to avoid the deficiencies in the background technology, to design a taxi intelligent operation navigation assistant system that can help taxi drivers to find customers more quickly and efficiently, and can change passive waiting and blind street sweeping. And methods.
设计方案：为了实现上述设计目的。本发明设计的出租车智能营运导航助理系统，该系统在出租车空载状态时，能够向驾驶员提供有效的路线和位置推荐，帮助驾驶员更加有效和快速方便的寻找到客源。其运作方法如下：1、在出租车空载状态下，本系统显示屏显示车辆当前位置及行驶方向。系统通过对地图信息的分析，预测车辆接下来的可能行驶方向，比如：若当前无任何可转弯路口，则可能的行驶方向为保持当前行驶方向或调头反向行驶；若前方有十字路口，则可能的行驶方向则为继续向前、左拐、右拐和调头反向行驶。2、系统针对当前预测的每一种行驶方向所进入的道路，向数据中心获取相关数据，分析该道路上的空载率、空载出租车数量、出租车平均行驶速度、叫车次数和频率、天气、实时交通状况等多种因素，对每一条道路的载客机会进行评价，并可以通过颜色、图表、数字和文字等方式，呈现给驾驶员。3、驾驶员在行进过程中，系统实时的不间断进行上述所述的分析操作并给出结果，帮助驾驶员不断的寻找最优的载客路线。4、驾驶员可通过选取位置点或输入地点位置信息，获取该位置点在任意历史时间的空载率、空载车辆数、平均行驶速度、用户叫车数量和频率和天气等数据，也可获取该位置点当前的以上各项数据实时信息，系统还可以提供未来某一时间点上的数据预测分析。这可以帮助驾驶员更清楚的了解各个区域和位置的载客机会。5、系统会完整记录系统内所有出租车的行驶轨迹、乘客上下车数据、每次载客的行驶里程和收费等数据，通过无线通讯模块发送回数据中心存储下来，作为本系统自学习的数据，从而不断提升系统推荐的有效性。 Design plan: In order to achieve the above design goals. The taxi intelligent operation navigation assistant system designed by the invention can provide an effective route and position recommendation to the driver when the taxi is in an idle state, thereby helping the driver to find the source of the passenger more efficiently and quickly. The operation method is as follows: 1. Under the no-load condition of the taxi, the display screen of the system displays the current position and driving direction of the vehicle. The system predicts the next possible driving direction of the vehicle by analyzing the map information. For example, if there is no turning intersection at present, the possible driving direction is to keep the current driving direction or reverse the head; if there is an intersection in front, The possible driving directions are to continue forward, turn left, turn right and reverse the head. 2. The system obtains relevant data from the data center for the roads that are currently predicted for each driving direction, and analyzes the no-load rate, the number of empty taxis, the average taxi speed, the number and frequency of taxis on the road. Various factors such as weather, real-time traffic conditions, etc., evaluate the passenger opportunities of each road, and can present them to the driver through colors, charts, numbers and texts. 3. During the travel process, the driver performs the above-mentioned analysis operations in real time and gives the results, helping the driver to continuously find the optimal passenger route. 4. The driver can obtain the data of the no-load rate, the number of idling vehicles, the average driving speed, the number of users calling, the frequency and the weather at any historical time by selecting the location point or inputting the location information of the location, or Obtain the current real-time information of the above data at the location point, and the system can also provide data prediction analysis at a certain point in the future. This can help the driver to have a clearer understanding of the passenger opportunities in each area and location. 5. The system will completely record the travel trajectory of all taxis in the system, the data of passengers getting on and off, the mileage and charges of each passenger, and send it back to the data center through the wireless communication module for storage as the self-learning data of the system. , thereby continuously improving the effectiveness of system recommendations.
本发明包含车辆设备、卫星定位模块、GSM/GPRS或3G等通讯模块、显示模块、智能营运导航处理器模块、地图模块、计价器模块和系统数据中心等。其中，卫星定位模块安装在出租车上，用来获得系统内车辆的实时地理位置，并向数据中心发送该数据；GSM/GPRS或3G等通讯模块，安装在出租车上，用来完成系统数据中心和车载模块的数据通讯和指令传递；显示模块，可以是液晶显示屏或其他显示设备，安装在出租车上，用来显示导航信息；计价器模块，安装在出租车上，用来记录出租车每次载客的收费数据以及获取出租车是否处于空载状态；智能营运导航处理器模块，是本系统的核心模块，用来处理所获得的各种数据，并通过与系统数据中心的通讯，获取数据中心的分析结果，并显示推荐结果在显示设备上；地图模块，作为地图信息来源的模块。系统数据中心，作为整个系统和核心，由多台服务器和配套软件组成，负责对系统获得的数据进行存储和计算，得到相应结果，并返回给车载模块。 The invention comprises a vehicle device, a satellite positioning module, a communication module such as GSM/GPRS or 3G, a display module, an intelligent operation navigation processor module, a map module, a meter module and a system data center. The satellite positioning module is installed on the taxi to obtain the real-time geographic location of the vehicle in the system, and sends the data to the data center; the communication module such as GSM/GPRS or 3G is installed in the taxi to complete the system data. Data communication and command transmission of the center and the vehicle module; display module, which can be a liquid crystal display or other display device, installed in a taxi to display navigation information; a meter module installed in a taxi for recording rental The vehicle charges data for each passenger and whether the taxi is in an empty state; the intelligent operation navigation processor module is the core module of the system, which is used to process various data obtained and communicate with the system data center. Obtain the analysis result of the data center and display the recommendation result on the display device; the map module, as the module of the map information source. The system data center, as the whole system and core, consists of multiple servers and supporting software. It is responsible for storing and calculating the data obtained by the system, obtaining corresponding results, and returning to the vehicle module.
技术方案1：一种出租车智能营运导航助理系统，至少由内置有GPS卫星定位模块及GSM/GPRS或3G通讯模块的车载模块、卫星定位群、系统数据中心和移动通讯基站构成，车载模块中的GPS模块通过GPS卫星群获得车辆设备的定位信息，并发送至系统数据中心，系统数据中心与车载模块之间通过移动通讯平台通讯，车载模块将记录的数据传递给系统数据中心，系统数据中心则负责存储数据，并根据车载模块的请求进行相关计算，计算结果则通过移动通讯平台返回给车载模块。 Technical Solution 1: A taxi intelligent operation navigation assistant system, which is composed of at least a vehicle-mounted module with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, a satellite positioning group, a system data center, and a mobile communication base station. The GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group, and sends it to the system data center. The system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, the system data center. It is responsible for storing the data, and performing related calculation according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
技术方案2：一种出租车智能营运导航助理方法，在出租车空载状态时，系统启动智能导航助理程序，根据GPS模块获取的车辆实时定位信息，经过处理器处理后，结合地图模块提供的地图信息，在显示屏上显示当前范围地图标明该车辆的当前实时位置和行驶方向，其中，GPS模块每隔2秒向车载模块和系统数据中心发送一次定位信息，以保证数据的连续性和可靠性，该间隔时间可由系统设定调整，处理器接收到上述定位信息和地图信息，计算预测车辆可能的行驶方向，并将该信息通过无线通讯模块传输给系统数据中心，发出计算请求；系统数据中心接收到该请求后，通过网络获取气象台发布的该车辆区域的实时天气数据，根据天气状况可分为常规模式和雨雪天模式：（1）如果当前天气不是雨雪，则进入常规模式，查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出请求车辆所有可能的行驶方向下，相应的载客机会大小，将该结果返回至请求车辆的车载模块处理器，处理器接收到数据中心的计算结果，将该结果显示在显示屏上，并用颜色来标明每一种行驶方向的载客机会，绿色表示该行驶方向载客机会非常大，黄色表示一般，红色表示机会很小；（2）如果当前天气为雨雪，则进入雨天模式，在雨天情况下，顾客打车地点通常集中在某些方便避雨的位置，系统也将根据该特殊状况进行特殊的计算分析，系统查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出该请求车辆周边载客机会最大的位置，再通过计算这些位置与该请求车辆的实时距离，综合分析得出最优的载客点，将该结果返回至请求车辆的车载模块处理器 , 处理器接收到该计算结果，将该结果显示在显示屏上，用星星符号标示出周边最优的三个打车位置，并默认显示导航至系统计算的第一最优位置 , 此时驾驶员可按照系统导航行进 , 如果驾驶员认为其他标示的位置更加合适，也可通过键盘输入选择其他位置，作为目的地。 Technical Solution 2: A taxi intelligent operation navigation assistant method, when the taxi is in an idle state, the system starts the intelligent navigation assistant program, according to the real-time positioning information of the vehicle acquired by the GPS module, after being processed by the processor, combined with the map module The map information displays the current range of icons on the display to indicate the current real-time position and driving direction of the vehicle. The GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure data continuity and reliability. Sex, the interval can be adjusted by the system setting, the processor receives the above positioning information and map information, calculates a predicted driving direction of the vehicle, and transmits the information to the system data center through the wireless communication module to issue a calculation request; system data After receiving the request, the center obtains real-time weather data of the vehicle area released by the weather station through the network, and can be divided into a normal mode and a rain and snow day mode according to weather conditions: (1) if the current weather is not rain or snow, the normal mode is entered. Query the relevant 5KM range around the request vehicle Historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in the surrounding area, etc. After weighted analysis and calculation, all possible driving of the requested vehicle is obtained. In the direction, the corresponding passenger opportunity size, the result is returned to the onboard module processor of the requesting vehicle, the processor receives the calculation result of the data center, displays the result on the display screen, and uses color to indicate each type of driving The direction of the passenger opportunity, green means that the direction of the passenger is very large, yellow means normal, red means the chance is small; (2) if the current weather is rain and snow, then enter the rain mode, in the case of rain, the customer's taxi location Usually concentrated in some convenient rain shelter locations, the system will also perform special calculation and analysis according to the special conditions. The system queries the relevant historical data within the 5KM range around the requested vehicle and the current real-time data sent by other vehicles, including the road no-load. Rate, number of empty vehicles, average driving speed, number and frequency of users calling in the surrounding area After the weighted analysis and calculation, the position of the passenger with the largest passenger opportunity around the requested vehicle is obtained, and then the real-time distance between the position and the requested vehicle is calculated, and the optimal passenger point is obtained by comprehensive analysis, and the result is returned to Request vehicle onboard module processor The processor receives the calculation result, displays the result on the display screen, marks the optimal three parking positions in the periphery with a star symbol, and displays the navigation to the first optimal position calculated by the system by default. At this point, the driver can follow the system navigation. If the driver thinks that the other marked positions are more suitable, other positions can also be selected as the destination by keyboard input.
另外，当数据中心对车载模块（1）发送的数据进行分析，发现周边空载率极高、空载车非常多，而且数据显示通过叫车系统（如出租车电召系统）的用户人数在系统数据中占比非常高时，此时系统会转为最佳候客点模式。即此时周边区域内，在路边打车的用户非常少，基本是通过叫车系统叫车，那么驾驶员再在路上扫街寻客就不再有效，反而会无端多出大量空车里程，浪费燃油，增加车辆磨损，不如在某个区域停车候客，随叫随走更加合理。最佳候客点模式下，数据中心根据对车载模块（1）发送的数据分析，计算周边叫车频率最高、交通状况最佳、停车位数量等，得出最佳的候客地点。驾驶员在这些候客地点停车等候，一旦有用户叫车请求，数据中心立刻发送给车载模块（1），并显示在显示屏上，驾驶员接受该请求后即刻赶往叫车地点，既提高了效率，又有效降低了空车里程和燃油消耗，同时也让驾驶员更加轻松方便。 In addition, when the data center analyzes the data sent by the onboard module (1), it is found that the surrounding airborne rate is extremely high, there are many empty vehicles, and the number of users who display the data through the calling system (such as the taxi calling system) is When the proportion of system data is very high, the system will switch to the optimal waiting point mode. That is to say, in the surrounding area, there are very few users who take taxis on the roadside. Basically, the car is called by the car system. Then the driver will no longer be effective in sweeping the streets, but will have a lot of empty mileage. Waste fuel, increase vehicle wear, it is better to park in a certain area, waiting to go is more reasonable. In the optimal waiting point mode, the data center calculates the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent to the vehicle module (1), and obtains the best waiting place. The driver stops at these waiting places. Once a user requests a car, the data center immediately sends it to the car module (1) and displays it on the display. The driver immediately rushes to the calling location after receiving the request, both improving The efficiency, which effectively reduces the empty car mileage and fuel consumption, but also makes the driver easier and more convenient.
[根据细则26改正02.09.2013]　 [Correction according to Rule 26 02.09.2013]
本发明与背景技术相比，一是避免了被动等待用户叫车；二是避免了驾驶员驾驶空载出租车扫街，寻找客源，使寻客的成本大为降低、空载的时间大幅度减小，油耗大大降低，并且在降低出租车驾驶员劳动强度的前提下，提高了运营收入；三是低碳和环保。 Compared with the background art, the invention avoids the passive waiting for the user to call the car; the second is to avoid the driver driving the empty taxi to sweep the street, looking for a source of tourists, so that the cost of the seeker is greatly reduced, and the time of no-load is large. The reduction is reduced, the fuel consumption is greatly reduced, and the operating income is increased under the premise of reducing the labor intensity of the taxi driver; the third is low carbon and environmental protection.
[根据细则26改正02.09.2013]　 [Correction according to Rule 26 02.09.2013]
图1为本发明的一种实施例的系统构成示意图。 FIG. 1 is a schematic diagram of a system configuration of an embodiment of the present invention.
图2为本发明的一种实施例的设备模块结构示意图。 2 is a schematic structural diagram of a device module according to an embodiment of the present invention.
图3为本发明的一种实施例的系统进行载客智能导航的逻辑流程图。 FIG. 3 is a logic flow diagram of a system for carrying passenger intelligent navigation according to an embodiment of the present invention.
图4为本发明的一种实施例的助理系统的常规模式推荐路线显示示意图。 4 is a schematic diagram showing a conventional mode recommended route display of an assistant system according to an embodiment of the present invention.
图5为本发明的一种实施例的助理系统的雨天模式推荐路线和位置显示示意图。 FIG. 5 is a schematic diagram showing a recommended route and position display of a rainy day mode of an assistant system according to an embodiment of the present invention.
图6是处理器101接收到该计算结果，将该结果显示在显示屏上示意图。 FIG. 6 is a schematic diagram of the processor 101 receiving the calculation result and displaying the result on the display screen.
图7是系统逻辑图。 Figure 7 is a system logic diagram.
图8是显示结果图。 Fig. 8 is a graph showing the results.
图9是系统显示结果图。 Figure 9 is a diagram showing the results of the system display.
[根据细则26改正02.09.2013]　 [Correction according to Rule 26 02.09.2013]
实施例1：参照附图1-9。一种出租车智能营运导航助理系统，至少由内置有GPS卫星定位模块及GSM/GPRS或3G通讯模块的车载模块1、卫星定位群2、系统数据中心3和移动通讯基站4构成，车载模块1中的GPS模块通过GPS卫星群获得车辆设备的定位信息，并发送至系统数据中心，系统数据中心与车载模块之间通过移动通讯平台通讯，车载模块将记录的数据传递给系统数据中心，系统数据中心则负责存储数据，并根据车载模块的请求进行相关计算，计算结果则通过移动通讯平台返回给车载模块。所述车载模块1包含处理器101、无线通讯模块102、GPS模块103、电源电路104、显示屏105、地图模块106、键盘输入模块107及计价器设备接口108；电源电路104向各模块供电，处理器101与无线通讯模块102双向数据通信，处理器101接收来自GPS模块103、地图模块106、键盘输入模块107及计价器设备接口108数据信息，处理器101信号输出端接显示屏105信号输入端。 Example 1: Refer to Figures 1-9. A taxi intelligent operation navigation assistant system, which is composed of at least a vehicle module 1, a satellite positioning group 2, a system data center 3 and a mobile communication base station 4 with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, and the vehicle module 1 The GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group and sends it to the system data center. The system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, and the system data. The center is responsible for storing the data and performing related calculations according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform. The onboard module 1 includes a processor 101, a wireless communication module 102, a GPS module 103, a power supply circuit 104, a display screen 105, a map module 106, a keyboard input module 107, and a meter device interface 108. The power supply circuit 104 supplies power to each module. The processor 101 and the wireless communication module 102 are in two-way data communication, and the processor 101 receives data information from the GPS module 103, the map module 106, the keyboard input module 107, and the meter device interface 108, and the processor 101 signal output terminal displays the signal input of the display 105. end.
本发明的提供一种实施例，当出租车处于空载状态时，系统会启动智能营运导航助理操作，帮助使用本系统的出租车驾驶员寻找最佳的载客路线。 The present invention provides an embodiment in which the system activates an intelligent operation navigation assistant operation when the taxi is in an unloaded state, helping the taxi driver using the system to find the best passenger route.
图1所示即为本发明的一种实施例系统构成示意。本系统由车载模块1（内具GPS卫星定位模块及GSM/GPRS或3G等通讯模块）、卫星定位群2、系统数据中心3和移动通讯基站4等组成。 FIG. 1 is a schematic diagram showing the system configuration of an embodiment of the present invention. The system consists of an onboard module 1 (with a GPS satellite positioning module and a communication module such as GSM/GPRS or 3G), a satellite positioning group 2, a system data center 3, and a mobile communication base station 4.
车载模块1安装有GPS模块，通过GPS卫星群获得车辆设备的定位信息，如经纬度坐标、速度、方向等。该定位信息同时发送至系统数据中心。系统数据中心由多台服务器和配套软件组成，系统数据中心与车载模块之间通过移动通讯平台通讯，车载模块将记录的数据传递给系统数据中心，系统数据中心则负责存储数据，并根据车载模块的请求进行相关计算，计算结果则通过移动通讯平台返回给车载模块。 The vehicle module 1 is equipped with a GPS module, and obtains positioning information of the vehicle equipment through a GPS satellite group, such as latitude and longitude coordinates, speed, direction, and the like. The positioning information is simultaneously sent to the system data center. The system data center is composed of multiple servers and supporting software. The system data center communicates with the vehicle module through the mobile communication platform. The vehicle module transmits the recorded data to the system data center. The system data center is responsible for storing the data and according to the vehicle module. The request is related to the calculation, and the calculation result is returned to the vehicle module through the mobile communication platform.
图2所示为车载模块的内部结构示意图。包含了处理器101、无线通讯模块102、GPS模块103、电源电路104、显示屏105、地图模块106和键盘输入模块107。其中处理器101用来处理模块获得的GPS定位数据、无线通讯数据等信息系统，并向系统数据中心发出请求，得到数据中心反馈后并控制结果显示。无线通讯模块102用来本模块与系统数据中心的数据通讯。GPS模块103用来获取本车载模块的定位信息，包括经纬度坐标、速度、方向等。电源电路104用来向各模块供电。显示屏105用来将运营导航助理系统的结果显示给驾驶员。地图模块106用来存储地图信息数据，系统在进行导航助理的计算时将使用该地图数据。键盘输入模块107是一个键盘设备，用来输入数据，如查询特定地点的载客系统数据时，用来输入地点名等。计价器设备接口108用来连接本模块和出租车计价器设备，从而获取出租车每次载客的收费数据。 Figure 2 shows the internal structure of the onboard module. The processor 101, the wireless communication module 102, the GPS module 103, the power supply circuit 104, the display screen 105, the map module 106, and the keyboard input module 107 are included. The processor 101 is configured to process an information system such as GPS positioning data and wireless communication data obtained by the module, and send a request to the system data center to obtain feedback from the data center and control the result display. The wireless communication module 102 is used for data communication between the module and the system data center. The GPS module 103 is configured to acquire positioning information of the in-vehicle module, including latitude and longitude coordinates, speed, direction, and the like. Power circuit 104 is used to power each module. Display 105 is used to display the results of operating the navigation assistant system to the driver. The map module 106 is used to store map information data that the system will use when performing the navigation assistant's calculations. The keyboard input module 107 is a keyboard device for inputting data, such as inputting a place name when querying passenger system data of a specific place. The meter device interface 108 is used to connect the module and the taxi meter device to obtain the charge data for the passenger each time the taxi is carried.
整个导航过程中不存在固定的起点和终点。起点为车辆的实时位置，不断变化。导航的过程中，也没有传统导航方式中的固定终点。该导航系统对车辆当前的可能行进路线进行分析，并针对每一条可能行进路线，分别给出该条线路和位置上的载客机会大小，并以图表、数字、文字、语音等方式呈现给驾驶员。 There is no fixed starting point and ending point throughout the navigation process. The starting point is the real-time location of the vehicle, constantly changing. In the process of navigation, there is no fixed end point in the traditional navigation mode. The navigation system analyzes the current possible route of the vehicle, and gives the size of the passenger opportunity on the route and location for each possible route, and presents it to the driving by means of charts, numbers, texts, voices, etc. member.
该系统在分析每一条线路和位置的载客机会大小时，会参考该条线路和位置上的出租车空载率数据。该空载率数据是指空载出租车数量占全部出租车数量的比值，分为历史数据和实时数据。历史数据为通过系统的历史记录，得出的该条线路和位置上平均的出租车空载率；实时数据为系统获取的当前时间该条线路和位置上的实时出租车空载率。一般的，空载率越高，则表明载客机会越小。 The system will refer to the taxi no-load rate data for that line and location when analyzing the size of the passenger capacity for each line and location. The no-load rate data refers to the ratio of the number of empty taxis to the total number of taxis, divided into historical data and real-time data. The historical data is the average taxi idling rate on the route and location through the history of the system; the real-time data is the real-time taxi idling rate on the line and location at the current time obtained by the system. In general, the higher the no-load rate, the smaller the passenger opportunity.
该系统在分析每一条线路和位置的载客机会大小时，会参考该条线路和位置上的出租车空载车辆数量。该空载车辆数量是指在该条线路和位置上的空载出租车总数，分为历史数据和实时数据。历史数据为通过系统的历史记录，得出的该条线路和位置上的出租车空载车辆数量；实时数据为系统获取的当前时间该条线路和位置上的实时出租车空载车辆数量。一般的，空载车数量越大，则表明载客机会越小。 The system will refer to the number of taxi-laden vehicles on that line and location when analyzing the size of the passenger space for each line and location. The number of empty vehicles refers to the total number of empty taxis on the line and location, divided into historical data and real-time data. The historical data is the number of empty vehicles in the taxi and the location of the taxi through the history of the system; the real-time data is the current number of real-time taxi empty vehicles on the line and location obtained by the system. In general, the larger the number of empty vehicles, the smaller the passenger opportunity.
该系统在分析每一条线路和位置的载客机会大小时，会参考该条线路和位置上的出租车平均行驶速度数据。该平均行驶数据是指所有出租车在该条线路和位置上的行驶距离与行驶时间的比值，分为历史数据和实时数据。历史数据为通过系统的历史记录，得出的该条线路和位置上平均的出租车平均行驶速度；实时数据为系统获取的当前时间该条线路和位置上的实时出租车平均行驶速度。一般的，平均行驶速度与该条道路的拥堵状况相关，在一定速度区间内，可认为平均行驶速度越小，则该道路越拥堵，其载客机会越小。 When analyzing the size of the passenger space for each line and location, the system will refer to the average taxi speed data on that line and location. The average driving data refers to the ratio of the driving distance of all taxis on the line and the position to the driving time, and is divided into historical data and real-time data. The historical data is the average average taxi speed of the line and location obtained through the historical record of the system; the real-time data is the real-time taxi average travel speed of the line and location at the current time obtained by the system. Generally, the average traveling speed is related to the congestion condition of the road. In a certain speed range, it can be considered that the smaller the average traveling speed is, the more congested the road is, and the smaller the passenger capacity is.
该系统会参考每一条线路和位置上的叫车请求数量和频率。该叫车请求数量和频率是指用户通过本系统叫出租车的次数和频率，以及本系统可获取的用户通过其他方式叫车（如当地城市出租车叫车电话）的次数和频率。该数据分为历史数据和实时数据：历史数据是指系统通过记录的历史数据得出的结果；实时数据是指系统获取的当前时间的叫车次数和频率。一般的，叫车请求数量越少、频率越低，则表明载客机会越小。 The system will refer to the number and frequency of calls requested on each line and location. The number and frequency of the request for the car refers to the number and frequency of the taxis that the user calls the taxi through the system, and the number and frequency of the users that the system can obtain by other means of calling the car (such as the taxi call of the local city taxi). The data is divided into historical data and real-time data: historical data refers to the results obtained by the system through recorded historical data; real-time data refers to the number and frequency of calls taken by the system at the current time. In general, the fewer the number of requests for a car and the lower the frequency, the smaller the passenger opportunity.
该系统会参考当前的天气情况。例如，当前天气情况为下雨，则系统会出现雨天模式，列出附近区域内，哪些线路和位置在雨天具有最佳的载客机会。 The system will refer to the current weather conditions. For example, if the current weather conditions are raining, the system will display a rainy day mode, which lists which lines and locations have the best passenger opportunities in the rainy days.
该系统会参考系统内所有出租车的行驶轨迹、乘客上下车数据、每次载客的行驶里程和收费等数据，完成系统的自学习，不断提高系统推荐结果的有效性。比如，该系统会对系统内所有的出租车驾驶员进行绩效排序（单位时间收入最高或单位收入油耗最低等），对于排名靠前的驾驶员，系统会对他们的驾驶路线轨迹进行分析，作为系统载客机会分析的一个参考值，提高系统的实际有效性。 The system will refer to the data of all taxis in the system, the passengers' access data, the mileage and charges of each passenger, and complete the self-learning of the system to continuously improve the effectiveness of the system recommendation results. For example, the system ranks all taxi drivers in the system (the highest revenue per unit time or the lowest fuel consumption per unit of income). For the top drivers, the system analyzes their driving route trajectories. A reference value for system passenger opportunity analysis to improve the actual effectiveness of the system.
该系统可提供用户查询任意地点于任意时间的各种数据。用户可通过选取位置点或输入地点位置信息，获取该位置点在任意历史时间的空载率、空载车辆数、平均行驶速度、用户叫车数量和频率以及天气等数据，也可实时获取该位置点当前的以上各项数据，系统还可以提供未来某一时间点上的数据预测分析。 The system provides users with access to a variety of data from any location at any time. The user can obtain the data of the no-load rate, the number of idling vehicles, the average traveling speed, the number and frequency of the user's car, and the weather at any historical time by selecting the location point or inputting the location information of the location, and also obtaining the data in real time. The current point of the above data, the system can also provide data prediction analysis at a certain point in time in the future.
实施例2：在实施例1的基础上，一种出租车智能营运导航助理方法，在出租车空载状态时，系统启动智能导航助理程序。根据GPS模块103获取的车辆实时定位信息，经过处理器101处理后，结合地图模块106提供的地图信息，在显示屏上显示当前范围地图（默认显示车辆周边5KM范围的地图，驾驶员可手动调节地图显示范围），标明该车辆的当前实时位置和行驶方向。其中，GPS模块每隔2秒向车载模块和系统数据中心发送一次定位信息，以保证数据的连续性和可靠性，该间隔时间可由系统设定调整。处理器101接收到上述定位信息和地图信息，计算预测车辆可能的行驶方向，并将该信息通过无线通讯模块102传输给系统数据中心，发出计算请求。系统数据中心接收到该请求后，首先查询系统内该车辆区域的实时天气状况（通过网络获取气象台发布的数据），根据天气状况可分为常规模式和雨（雪）天模式。（1）如果当前天气不是下雨（雪），则进入常规模式，按照图3所示的系统逻辑流程图，查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出请求车辆所有可能的行驶方向下，相应的载客机会大小，将该结果返回至请求车辆的车载模块处理器101。处理器101接收到数据中心的计算结果，将该结果显示在显示屏上，如图4所示：用颜色来标明每一种行驶方向的载客机会，绿色表示该行驶方向载客机会非常大，黄色表示一般，红色表示机会很小。（2）如果当前天气为下雨（雪），则进入雨天模式。在雨天情况下，顾客打车地点通常集中在某些方便避雨的位置，系统也将根据该特殊状况进行特殊的计算分析，其逻辑流程图如图5所示：系统查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出该请求车辆周边载客机会最大的位置，再通过计算这些位置与该请求车辆的实时距离，综合分析得出最优的载客点，将该结果返回至请求车辆的车载模块处理器101。处理器101接收到该计算结果，将该结果显示在显示屏上，如图6所示：用星星符号标示出周边最优的三个打车位置，并默认显示导航至系统计算的第一最优位置。此时驾驶员可按照系统导航行进。如果驾驶员认为其他标示的位置更加合适，也可通过键盘输入选择其他位置，作为目的地。以上系统运行过程是实时连续进行的，即在车辆行驶过程中，车载模块每隔2秒周期性发送定位和其他信息，系统进行不间断的分析计算，并将结果实时显示在显示屏上。 Embodiment 2: On the basis of Embodiment 1, a taxi intelligent operation navigation assistant method, when the taxi is in an idle state, the system starts the intelligent navigation assistant program. According to the real-time positioning information of the vehicle acquired by the GPS module 103, after processing by the processor 101, in combination with the map information provided by the map module 106, the current range map is displayed on the display screen (the map of the range of 5KM around the vehicle is displayed by default, and the driver can manually adjust the map. The map displays the range), indicating the current real-time location and direction of travel of the vehicle. Among them, the GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure the continuity and reliability of the data, and the interval time can be adjusted by the system setting. The processor 101 receives the positioning information and the map information, calculates a possible driving direction of the predicted vehicle, and transmits the information to the system data center through the wireless communication module 102 to issue a calculation request. After receiving the request, the system data center first queries the real-time weather conditions of the vehicle area in the system (obtaining data released by the weather station through the network), and can be divided into a normal mode and a rain (snow) day mode according to weather conditions. (1) If the current weather is not raining (snow), enter the normal mode, and query the relevant historical data in the range of 5KM around the requested vehicle and the current real-time data sent by other vehicles according to the system logic flow chart shown in FIG. Including the road no-load rate, the number of empty vehicles, the average driving speed, the number of users and the frequency of the vehicles in the surrounding area, after weighted analysis and calculation, the corresponding passengers in all possible driving directions of the requested vehicle will be obtained. The result is returned to the onboard module processor 101 of the requesting vehicle. The processor 101 receives the calculation result of the data center, and displays the result on the display screen, as shown in FIG. 4: color indicates the passenger opportunity of each driving direction, and green indicates that the driving direction is very large. , yellow means general, red means chance is small. (2) If the current weather is raining (snow), enter the rain mode. In the case of rainy days, the customer's taxi location is usually concentrated in some convenient rain shelter locations. The system will also perform special calculation analysis according to the special situation. The logic flow chart is shown in Figure 5: The system queries the 5KM range around the request vehicle. Relevant historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in surrounding areas, etc. After weighted analysis, the requested vehicle is obtained. The location of the surrounding passengers is the largest, and by calculating the real-time distance between the locations and the requested vehicle, comprehensive analysis results in an optimal passenger point, and the result is returned to the on-board module processor 101 of the requesting vehicle. The processor 101 receives the calculation result, and displays the result on the display screen, as shown in FIG. 6: the three optimal taxi positions in the periphery are marked with a star symbol, and the first optimal navigation to the system calculation is displayed by default. position. At this point the driver can follow the system navigation. If the driver thinks that the other marked positions are more appropriate, you can also select other locations as a destination by keyboard input. The above system operation process is continuous in real time, that is, during the running of the vehicle, the vehicle module periodically transmits positioning and other information every 2 seconds, the system performs uninterrupted analysis and calculation, and displays the result in real time on the display screen.
驾驶员在行驶过程中，可以随时查询任意位置的载客数据（包含空载率、空载车数量、平均行驶速度、叫车数量和频率等）。驾驶员只需通过键盘输入设备输入地点，经过地图查询得出该位置的坐标信息，处理器101将该位置信息发送给系统数据中心请求计算结果。数据中心接收到该请求后，查询系统内相关数据（包含历史数据和当前实时数据），并将结果返回给处理器101，处理器 101 则将该结果显示在显示屏上。系统逻辑图如图 7 所示，显示结果如图 8 所示。 During the driving process, the driver can query the passenger data at any position (including the air load rate, the number of empty vehicles, the average driving speed, the number and frequency of the vehicles, etc.). The driver only needs to input the location through the keyboard input device, and obtains the coordinate information of the location through the map query, and the processor 101 sends the location information to the system data center to request the calculation result. After receiving the request, the data center queries related data (including historical data and current real-time data) in the system, and returns the result to the processor 101, the processor. 101 then the result is displayed on the display. The system logic diagram is shown in Figure 7, and the results are shown in Figure 8.
实施例3：当数据中心对车载模块（1）发送的数据进行分析，发现周边空载率极高、空载车非常多，而且数据显示通过叫车系统（如出租车电召系统）的用户人数在系统数据中占比非常高时，此时系统会转为最佳候客点模式。通过空载率、空载车数量以及通过系统叫车用户数量在系统中的比例等数据值，可设定一个界限值，比如空载率超过70%、空车数量1小时内超过50部、通过系统叫车数量比例超过80%，当满足以上条件时启动最佳候客点模式。当然，这个条件可以通过系统累积数据进行不断优化、调整。 Embodiment 3: When the data center analyzes the data sent by the vehicle-mounted module (1), it is found that the surrounding air-load rate is extremely high, the number of empty vehicles is very large, and the data is displayed by the user of the calling system (such as the taxi calling system). When the number of people in the system data is very high, the system will switch to the optimal waiting point mode. Through the data values of the no-load rate, the number of empty vehicles and the proportion of the number of users calling the system in the system, a limit value can be set, for example, the idle rate exceeds 70%, and the number of empty vehicles exceeds 50 in one hour. The ratio of the number of vehicles calling through the system exceeds 80%, and the optimal waiting point mode is activated when the above conditions are met. Of course, this condition can be continuously optimized and adjusted through the system's accumulated data.
在最佳候客点模式下，系统将根据数据中心的获取的车载模块（1）发送的数据，综合分析周边叫车频率最高、交通状况最佳、停车位数量等，得出最佳的候客地点，保证驾驶员能够在最快时间内赶到最常叫车的地点。数据中心将结果返回至处理器101，处理器101则将该结果显示在显示屏上，以三角图标标识三个最佳候客点，指示驾驶员在这些候客地点停车等候。系统显示结果如图9所示。 In the optimal waiting point mode, the system will comprehensively analyze the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent by the in-vehicle module (1) acquired by the data center, and get the best waiting time. The passenger location ensures that the driver can get to the location where the car is most often called in the fastest time. The data center returns the results to the processor 101, which then displays the results on the display and identifies the three best candidate points with a triangular icon indicating that the driver is parked at these waiting locations. The system displays the results as shown in Figure 9.
需要指明，以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种变化和更改。比如键盘输入设备107和显示屏设备105可使用现有的触摸显示屏代替，从而省略键盘输入设备。然而，凡本发明的精神和原则之内，所作的任何修改、等同替改进等，均应包含在本发明的权利要求范围之内。 It is to be understood that the above description is only a preferred embodiment of the present invention and is not intended to limit the invention, and various changes and modifications may be made to the invention. For example, the keyboard input device 107 and the display device 105 can be replaced with an existing touch display screen, thereby omitting the keyboard input device. However, any modifications, equivalent improvements, etc., made within the spirit and scope of the invention are intended to be included within the scope of the appended claims.
需要理解到的是：上述实施例虽然对本发明的设计思路作了比较详细的文字描述，但是这些文字描述，只是对本发明设计思路的简单文字描述，而不是对本发明设计思路的限制，任何不超出本发明设计思路的组合、增加或修改，均落入本发明的保护范围内。 It should be understood that although the above embodiment has a relatively detailed text description of the design idea of the present invention, these text descriptions are merely a simple text description of the design idea of the present invention, and are not limited to the design idea of the present invention, and may not exceed any Combinations, additions or modifications of the inventive design are all within the scope of the invention.

Claims (5)

  1. 一种出租车智能营运导航助理系统，其特征是至少由内置有GPS卫星定位模块及GSM/GPRS或3G通讯模块的车载模块（1）、卫星定位群（2）、系统数据中心（3）和移动通讯基站（4）构成，车载模块（1）中的GPS模块通过GPS卫星群获得车辆设备的定位信息，并发送至系统数据中心，系统数据中心与车载模块之间通过移动通讯平台通讯，车载模块将记录的数据传递给系统数据中心，系统数据中心则负责存储数据，并根据车载模块的请求进行相关计算，计算结果则通过移动通讯平台返回给车载模块。A taxi intelligent operation navigation assistant system, characterized in that at least an onboard module (1), a satellite positioning group (2), a system data center (3) and a built-in GPS satellite positioning module and a GSM/GPRS or 3G communication module are provided. The mobile communication base station (4) is configured, and the GPS module in the vehicle module (1) obtains the positioning information of the vehicle equipment through the GPS satellite group, and sends the positioning information of the vehicle equipment to the system data center, and the communication between the system data center and the vehicle module through the mobile communication platform, the vehicle The module passes the recorded data to the system data center, and the system data center is responsible for storing the data, and performs related calculation according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
  2. 根据权利要求1所述的出租车智能营运导航助理系统，其特征是：所述车载模块（1）包含处理器（101）、无线通讯模块（102）、GPS模块（103）、电源电路（104）、显示屏（105）、地图模块（106）、键盘输入模块（107）及计价器设备接口（108）；电源电路（104）向各模块供电，处理器（101）与无线通讯模块（102）双向数据通信，处理器（101）接收来自GPS模块（103）、地图模块（106）、键盘输入模块（107）及计价器设备接口（108）数据信息，处理器（101）信号输出端接显示屏（105）信号输入端。The taxi intelligent operation navigation assistant system according to claim 1, wherein the onboard module (1) comprises a processor (101), a wireless communication module (102), a GPS module (103), and a power supply circuit (104). ), a display screen (105), a map module (106), a keyboard input module (107), and a meter device interface (108); a power supply circuit (104) supplies power to each module, and the processor (101) and the wireless communication module (102) The two-way data communication, the processor (101) receives data information from the GPS module (103), the map module (106), the keyboard input module (107), and the meter device interface (108), and the processor (101) signal output terminal Display (105) signal input.
  3. 一种出租车智能营运导航助理方法，其特征是：在出租车空载状态时，系统启动智能导航助理程序，根据GPS模块（103）获取的车辆实时定位信息，经过处理器（101）处理后，结合地图模块（106）提供的地图信息，在显示屏上显示当前范围地图标明该车辆的当前实时位置和行驶方向，其中， GPS模块每隔2秒向车载模块和系统数据中心发送一次定位信息，以保证数据的连续性和可靠性，该间隔时间可由系统设定调整，处理器（101）接收到上述定位信息和地图信息，计算预测车辆可能的行驶方向，并将该信息通过无线通讯模块（102）传输给系统数据中心，发出计算请求；系统数据中心接收到该请求后，通过网络获取气象台发布的该车辆区域的实时天气数据，根据天气状况可分为常规模式和雨雪天模式：（1）如果当前天气不是雨雪，则进入常规模式，查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出请求车辆所有可能的行驶方向下，相应的载客机会大小，将该结果返回至请求车辆的车载模块处理器（101），处理器(101)接收到数据中心的计算结果，将该结果显示在显示屏上，并用颜色来标明每一种行驶方向的载客机会，绿色表示该行驶方向载客机会非常大，黄色表示一般，红色表示机会很小；（2）如果当前天气为雨雪，则进入雨天模式，在雨天情况下，顾客打车地点通常集中在某些方便避雨的位置，系统也将根据该特殊状况进行特殊的计算分析，系统查询该请求车辆周围5KM范围内的相关历史数据及其他车辆发送的当前实时数据，包括道路空载率、空载车数量、平均行驶速度、周边区域用户叫车数量和频率等，经过加权分析计算后，得出该请求车辆周边载客机会最大的位置，再通过计算这些位置与该请求车辆的实时距离，综合分析得出最优的载客点，将该结果返回至请求车辆的车载模块处理器(101)，处理器(101)接收到该计算结果，将该结果显示在显示屏上，用星星符号标示出周边最优的三个打车位置，并默认显示导航至系统计算的第一最优位置，此时驾驶员可按照系统导航行进，如果驾驶员认为其他标示的位置更加合适，也可通过键盘输入选择其他位置，作为目的地。A taxi intelligent operation navigation assistant method, characterized in that: when the taxi is in an empty state, the system starts the intelligent navigation assistant program, and according to the real-time positioning information of the vehicle acquired by the GPS module (103), after being processed by the processor (101) Combining the map information provided by the map module (106), displaying the current range of icons on the display screen to indicate the current real-time position and driving direction of the vehicle, wherein The GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure the continuity and reliability of the data. The interval can be adjusted by the system setting, and the processor (101) receives the positioning information and the map information. Calculating the possible driving direction of the vehicle, and transmitting the information to the system data center through the wireless communication module (102) to issue a calculation request; after receiving the request, the system data center acquires the real-time of the vehicle area issued by the weather station through the network. Weather data can be divided into normal mode and rain and snow day mode according to weather conditions: (1) If the current weather is not rain or snow, enter the normal mode, query relevant historical data within 5KM around the requested vehicle and current currents sent by other vehicles Real-time data, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in surrounding areas, etc. After weighted analysis and calculation, the corresponding passenger opportunities are obtained under all possible driving directions of the requested vehicle. Size, return the result to the onboard module processor of the requesting vehicle (1 01), the processor (101) receives the calculation result of the data center, displays the result on the display screen, and uses color to indicate the passenger opportunity of each driving direction, and the green color indicates that the driving direction of the driving direction is very large. Yellow indicates normal, red indicates that the chance is small; (2) If the current weather is rain and snow, it enters the rain mode. In the case of rain, the customer's taxi location is usually concentrated in some convenient rain shelters, and the system will also be based on the special The situation is subject to special calculation and analysis. The system queries the relevant historical data within the 5KM range of the requested vehicle and the current real-time data sent by other vehicles, including the road no-load rate, the number of empty vehicles, the average driving speed, and the number of vehicles in the surrounding area. And the frequency, etc., after weighted analysis and calculation, the position of the passenger with the largest passenger opportunity around the requested vehicle is obtained, and then the real-time distance between the position and the requested vehicle is calculated, and the optimal passenger point is obtained through comprehensive analysis. Returning to the onboard module processor (101) of the requesting vehicle, the processor (101) receives the calculation result, and displays the result in On the display screen, the three optimal taxi positions are marked with a star symbol, and the navigation is displayed to the first optimal position calculated by the system by default. At this time, the driver can follow the system navigation if the driver thinks that other marked positions are More suitable, you can also select other locations as a destination by keyboard input.
  4. 根据权利要求3所述的出租车智能营运导航助理方法，其特征是：在车辆行驶过程中，车载模块每隔2秒周期性发送定位和其他信息，系统进行不间断的分析计算，并将结果实时显示在显示屏上。The taxi intelligent operation navigation assistant method according to claim 3, wherein: during the running of the vehicle, the vehicle module periodically transmits positioning and other information every 2 seconds, and the system performs uninterrupted analysis and calculation, and the result is obtained. Displayed on the display in real time.
  5. 根据权利要求3所述的出租车智能营运导航助理方法，其特征是：当数据中心对车载模块（1）发送的数据进行分析，发现周边空载率极高、空载车非常多，而且数据显示通过叫车系统的用户人数在系统数据中占比非常高时，此时系统会转为最佳候客点模式，数据中心根据对车载模块（1）发送的数据分析，计算周边叫车频率最高、交通状况最佳、停车位数量等，得出最佳的候客地点,驾驶员在这些候客地点停车等候，一旦有用户叫车请求，数据中心立刻发送给车载模块（1），并显示在显示屏上，驾驶员接受该请求后即刻赶往叫车地点，既提高了效率，又有效降低了空车里程和燃油消耗，同时也让驾驶员更加轻松方便。The taxi intelligent operation navigation assistant method according to claim 3, characterized in that: when the data center analyzes the data sent by the onboard module (1), it is found that the surrounding no-load rate is extremely high, the number of empty vehicles is very large, and the data When the number of users passing through the calling system is very high in the system data, the system will change to the optimal waiting point mode. The data center calculates the surrounding calling frequency based on the data sent to the vehicle module (1). The highest, the best traffic conditions, the number of parking spaces, etc., the best waiting place, the driver stops at these waiting places, once the user calls the car, the data center is immediately sent to the vehicle module (1), and Displayed on the display, the driver immediately rushed to the location of the call after accepting the request, which not only improved efficiency, but also effectively reduced the empty mileage and fuel consumption, while also making the driver easier and more convenient.
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