KR20090090049A - Apparatus and method for real-time traffic information service - Google Patents
Apparatus and method for real-time traffic information service Download PDFInfo
- Publication number
- KR20090090049A KR20090090049A KR1020080015290A KR20080015290A KR20090090049A KR 20090090049 A KR20090090049 A KR 20090090049A KR 1020080015290 A KR1020080015290 A KR 1020080015290A KR 20080015290 A KR20080015290 A KR 20080015290A KR 20090090049 A KR20090090049 A KR 20090090049A
- Authority
- KR
- South Korea
- Prior art keywords
- traffic
- information
- time
- road
- vehicle
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
BACKGROUND OF THE
As the penetration rate of automobiles increases rapidly, the number of vehicles is increasing rapidly exponentially, while the penetration rate of roads cannot keep up. Accordingly, the vehicle driver tries to bypass the traffic jam or congested area by grasping the road conditions from the current location to the destination to reach the destination. In order to obtain such traffic information, it is necessary to receive data on the current location and destination of each vehicle and process it in the central control center to predict the current road situation and the future traffic situation.
For this purpose, recently, an Intelligent Transportation System (ITS), called an intelligent transportation system, has been developed and used.
Intelligent Transportation System (ITS) adds related technologies such as electronics, control, information, and communication to existing traffic systems such as roads, vehicles, and signaling systems to facilitate the flow of information without disconnecting information between vehicles and roads. It is no exaggeration to say that the information and communication technology field takes up the most part as a system introduced from the concept of maximizing the use of.
As part of this intelligent traffic system, traffic management systems such as CCTV, Traffic Information Collector (VDS) and Traffic Information Display (VMS) are about every 1 km to collect traffic information or display traffic conditions on highways, national roads and highways. (Traffic Management Systems) is being installed and operated on new systems every year.
However, traffic information analysis using intelligent traffic system installed in this way is carried out without very technical information and high technical support such as traffic survey through CCTV and traffic analysis of each tollgate, so the traffic analysis method analyzed only analyzes rough traffic flow. I'm just telling the driver. Accordingly, the vehicle driver receiving the traffic information is passively receiving the overall traffic situation, so it is difficult to trust the provided section traffic information or to refer to driving, so it is difficult to be used effectively.
In addition, the current intelligent traffic system only analyzes the traffic volume and provides it to the driver of the vehicle, and there is no function to reduce the congestion rate of the corresponding section or provide more smooth communication of the vehicle according to the analyzed traffic volume information. It is not happening or it is very incomplete.
Therefore, it is necessary to develop an intelligent transportation system that can improve the reliability of the traffic volume information analyzed, and also to study how to provide traffic congestion rate or traffic more smoothly according to the analyzed traffic volume information. have.
Accordingly, the present invention has been made to solve the above problems, to provide a real-time traffic information service apparatus and method that can improve the reliability of traffic volume information analyzed by the technical progress of the intelligent traffic system currently being promoted The purpose is.
Another object of the present invention is to provide a real-time traffic information service device and method that can effectively reduce the signal waiting time consumed on the road by reflecting the signal cycle of the traffic light lamp using the analyzed traffic volume information.
It is still another object of the present invention to collect traffic volume information for each section of a road, provide traffic information to a vehicle driver more quickly and accurately, and provide a real-time traffic information service device that can provide reliable traffic information to a vehicle driver. To provide a method.
Another object of the present invention is to provide a real-time traffic information service apparatus and method for installing on top of the traffic light lamp to recognize the traffic volume of the intersection, analyze the traffic volume through the main system and control the traffic light lamp accordingly.
Features of the real-time traffic information service apparatus according to the present invention for achieving the above object is a terminal for real-time shooting the current road situation, and transmits the real-time traffic information to the receiving means provided in the vehicle running in the adjacent area; The main system which is connected to the terminal by wire or wirelessly and analyzes the traffic condition of the current road in real time based on the image information captured in real time from the terminal, and gives unique identification information to the main system and connects the wired / wireless network. It includes a traffic control server for generating the integrated traffic information by integrating and analyzing the traffic information collected from at least one or more main systems, and then transmitting to each main system.
Preferably, the terminal receives an image sensor for photographing the current road situation in real time through a camera, and a receiving means provided in a vehicle running in an adjacent area by receiving integrated traffic information transmitted from the traffic control server through a main system. And a wireless local area communication unit for transmitting.
Preferably, the image sensor may include a direction recognition image sensor for photographing a road seen in front of a vehicle traveling on a road, and an intersection recognition image sensor for photographing a road vertically.
Preferably, the main system includes identification information unique to the main system, and includes a memory unit for storing at least one or more information among geospatial information, road state information, and map information, image information photographed through the terminal, and the memory unit. Calculating at least one of an image processing unit for recognizing a vehicle through a vehicle recognition algorithm based on the information stored in the vehicle, and a number of stopped vehicles, a number of vehicles passing through, and a traffic volume based on the vehicle recognized by the image processing unit; A traffic analysis unit for analyzing a current traffic situation of a road based on the information stored in the memory unit, and transmitting the current traffic information analyzed by the traffic analysis unit to the traffic control server and receiving the traffic control server; Characterized in that it comprises an information transmission unit for transmitting the traffic information to the outside.
Preferably, the traffic control server generates a signal cycle control signal of the traffic light lamp based on the integrated traffic information, and transmits the generated signal cycle control signal to the traffic light controller through each main system to signal signal length of the traffic light lamp. It is characterized by controlling (time).
A characteristic of the real-time traffic information service method according to the present invention for achieving the above object is (A) analyzing the number of vehicles by performing the image processing through the vehicle recognition algorithm based on the image information taken in real time the current road situation And (B) calculating at least one of the number of vehicles for each lane, the number of traffic vehicles, and the amount of vehicle traffic based on the analyzed vehicle number, and based on the pre-stored road form, vehicle direction, and road condition information. Analyzing the current traffic conditions of the road; (C) transmitting the analyzed traffic information along with unique identification information to a traffic control server through a wired / wireless network; and (D) at least at the traffic control server. Aggregate real-time traffic conditions of the entire roadway, generated and aggregated and analyzed by road location based on traffic and identification information from one or more locations And the step of receiving the call information, (E) comprises the step of transmitting the received number of stages provided in the vehicle is traveling in the adjacent integrated traffic area received from the traffic control server.
Preferably, the vehicle recognition algorithm is further configured to separate the image portion of the vehicle for each vehicle driving direction by referring to at least one of the road shape and the vehicle driving direction information. And dividing the lanes by the width of the basic lane with reference to at least one of the road condition information, and classifying the vehicles by applying the average length of the vehicle within each lane based on the divided lanes, And analyzing the number of vehicles by additionally classifying color information to the used vehicles.
Preferably, the traffic control server receives the signal period control signal of the traffic light lamp generated based on the integrated traffic information, and transmits the signal period control signal received from the traffic control server to the traffic light controller to control the signal period And controlling the cycle length (time) of the on / off of the traffic light lamp based on the signal.
Preferably, the generation of the signal period control signal may include calculating a congestion rate by using at least one of the number of vehicles currently waiting for signal, the number of vehicles that can pass through and the number of vehicles entering based on the integrated traffic information; And calculating a first signal period length (time) of the traffic light lamp required for eliminating the jam by using the calculated stagnation rate, and converting the calculated first signal period length (time) to a preset signal period length of the traffic light. Calculating a second signal period length (time) by adding to (time), and generating a signal period control signal for controlling a traffic light lamp to have the second signal period length (time). do.
The real-time traffic information service device and method according to the present invention as described above has the following advantages.
First, by using the nearby intersection signal waiting vehicle information taken from the terminal in real time, the vehicle driver can grasp the road situation information in advance, thereby generating an optimal driving route at the time of traffic congestion.
Second, by providing real-time road situation information through the traffic control server, it is possible to actively eliminate the traffic congestion by adjusting the control period of the traffic light lamp for each road.
Third, it is possible to increase the convenience of driving by providing the driver with a reliable and fast road situation accurately, and accordingly, it is possible to efficiently control traffic light lamps in real time by analyzing traffic information more accurately.
Other objects, features and advantages of the present invention will become apparent from the following detailed description of embodiments with reference to the accompanying drawings.
A preferred embodiment of the real-time traffic information service apparatus and method according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be implemented in various different forms, only the embodiments to complete the disclosure of the present invention and to those skilled in the art to complete the scope of the invention It is provided to inform you.
1 is an overall conceptual diagram showing the configuration of a real-time traffic information service apparatus according to an embodiment of the present invention. 2 is a conceptual view illustrating transmission and reception between a terminal and a navigation module in FIG. 1 in detail, and FIG. 3 is a conceptual view illustrating a location of the terminal of FIG. 1 in detail.
1 to 3, the real-time traffic information service device is installed on the top of the traffic light lamp, the
In this case, as shown in FIG. 2, the
In addition, as illustrated in FIG. 3, the
In addition, as shown in FIG. 4, the
In this case, the geospatial information is geographical spatial information on the road, the road state information is attribute information on the road state, and the map information is information on the map. In addition, when the
The
Meanwhile, the
Then, when the signal cycle control signal is received from the
The operation of the real-time traffic information service apparatus according to the present invention configured as described above will be described in detail with reference to the accompanying drawings.
5 is a flowchart illustrating a real-time traffic information service method according to an embodiment of the present invention.
Referring to FIG. 5, first, the terminal 100 photographs the current road situation in real time through the
That is, the
Subsequently, the
The process of analyzing the real-time traffic situation through the
First, the
6 to 8 illustrate a process of identifying a vehicle by performing a vehicle recognition algorithm through an image processor of the main system. 6 is a diagram for explaining an image processing process of a lane in which a stop signal is input, and FIG. 7 is a diagram for describing an image processing process of a lane in which a driving signal is input, and FIG. 8 is a view of a vehicle traveling through the intersection. It is a figure for demonstrating the process.
Referring to FIGS. 6 and 7, first, the
8 is image information photographed by the intersection
Next, the
In addition, the
When the current real-time traffic information is input through the
Looking at the integration and analysis method, the
At this time, the information of the driving vehicle is divided into the driving direction and the number of vehicles, and this information is analyzed by comparing the number of vehicles exiting the traveling direction due to the driving signal with the number of vehicles divided into each intersection. do. The information of the stationary vehicle is composed of the number of stationary vehicles. The information analyzes the number of vehicles and analyzes traffic conditions that occur when the next signal enters the road.
Based on the traffic conditions analyzed in this way, integrated traffic information for each road is generated.
And based on the traffic conditions analyzed in this way, the signal cycle control signal of the traffic light lamp is generated.
For example, assume that there are n vehicles waiting to receive a stop signal using the analyzed traffic situation, and that the number of vehicles that can pass through the driving signal on the road is limited to m. Then, if m> n, the vehicle that is now stopped will pass through the intersection within a sufficiently defined signal period, but if m <n, it can be seen that the amount of congestion is generated by the number of vehicles by n-m.
Therefore, by applying the calculated traffic congestion by road to the traffic flow of the entire city with reference to the generated integrated traffic information to generate a signal cycle control signal of the traffic light lamp so that the traffic congestion of the road can be eliminated.
Looking at the generation of the signal period control signal in detail as a preferred embodiment, first, the time of the driving signal, that is, the straight signal and the left turn signal is t0, the period is tn, the number of vehicles that can pass during t0, N, stand by If we define M as the number of vehicles, the number of cars exiting the intersection per second is. And when A is the number of vehicles that can enter the left turn road and B is the number of vehicles that can enter the straight road, N = A + B is established. box).
The integrated traffic information generated here knows the number of vehicles leaving the driving road and the number of vehicles waiting before the signal is changed, so when the number of vehicles waiting is C, if C is less than N (C <N) Do not change the signal length. If C is greater than N (C> N) and there are many vehicles entering the driving lane from neighboring traffic lights, a signal period control signal is generated to increase the length of the signal period.
In this case, a new variable value called congestion rate is presented as a method of increasing the length of the signal period. There is a limit to the number of vehicles that can cross an intersection in a general signaling system. And there are cases where the number of waiting vehicles is larger than the number of vehicles that can pass. In this case, congestion occurs, so it is necessary to calculate the size of the congestion.
Size of congestion, or congestion rate (
) Is calculated by using the number of vehicles currently waiting for signal, the number of vehicles that can pass through, and the number of vehicles that enter.
At this time,
Is the congestion rate, Is the number of vehicles that can pass through the intersection, Is the number of vehicles currently waiting for traffic, Represents the number of vehicles entering during the stop signal at the previous traffic light (intersection).here
Since the traffic information of neighboring roads can be calculated through the generated integrated traffic information based on the number of vehicles introduced in addition to the waiting vehicle, it can be calculated.Meanwhile, the stagnation rate calculated through Equation 1 (
To increase the signal cycle length (in hours) ( ) Is calculated as shown in
At this time,
Is the preset signal cycle length in hours, Is the congestion rate ( ) Represents the amount of change in signal length.Therefore, the n + 1 th signal length is calculated as in
At this time,
Is the signal period length (time) after signal period control, Denotes a preset signal period length (time).The
Then, the
Accordingly, the
FIG. 9 is a graph illustrating a congestion rate simulation for a case of a general traffic light control cycle, and FIG. 10 is a graph illustrating a congestion rate simulation for the case where the real-time traffic information service method according to the present invention is applied. For reference, the results shown in FIGS. 8 and 9 are results of simulations using measurement data through intersection photographs because direct traffic lights cannot be adjusted, and measure traffic for one hour from 5 pm to 6 pm on Sundays in the lower intersection of Busan. This is the result of reflecting only two lanes.
9 is a result showing the congestion rate in a typical congestion time zone, calculated using the number of vehicles flowing in a state in which a signal cycle length (time) of a traffic light lamp is constant, and congestion when the y-axis value is 0 (%). There is no rate. In FIG. 9, more than 70% of the 10 observations indicate congestion. In this case, it can be seen that more vehicles are waiting than the number of vehicles that can pass the intersection signal.
On the other hand, Figure 10 is a result of performing the case of controlling the signal cycle according to the present invention for the same traffic volume, it can be seen that the result of FIG. 10 is reduced by about 39% on average than the result of FIG. This results in better communication than when the change in signal cycle length (time) was applied according to the traffic volume.
In the above case, the simulation is performed using only two lanes of the intersection, so if the vehicle is enlarged to four lanes, the congestion rate of the vehicle may be further reduced.
Although the technical spirit of the present invention described above has been described in detail in a preferred embodiment, it should be noted that the above-described embodiment is for the purpose of description and not of limitation. In addition, those skilled in the art will understand that various embodiments are possible within the scope of the technical idea of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.
1 is an overall conceptual diagram showing the configuration of a real-time traffic information service apparatus according to an embodiment of the present invention
2 is a conceptual diagram illustrating transmission and reception between a terminal and a navigation module in FIG. 1 in detail;
3 is a conceptual diagram illustrating in detail a location where a terminal of FIG. 1 is configured;
4 is a conceptual diagram showing in detail the structure of the main system of FIG.
5 is a flowchart illustrating a real-time traffic information service method according to an embodiment of the present invention.
6 to 8 are diagrams for explaining a process of identifying a vehicle by performing a vehicle recognition algorithm through an image processing unit of a main system;
9 is a graph illustrating a congestion rate simulation for a case of a general traffic light control cycle.
10 is a graph illustrating a congestion rate simulation when a real-time traffic information service method according to the present invention is applied.
* Explanation of symbols for main parts of the drawings
100: terminal 110: image sensor
111 ~ 114: Image sensor for each direction 115: Image sensor for intersection
120: wireless local area communication unit 200: main system
210: image processor 220: traffic analyzer
230: information transmission unit 240: memory unit
300: traffic light controller 400: traffic control server
500: navigation module
Claims (12)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020080015290A KR20090090049A (en) | 2008-02-20 | 2008-02-20 | Apparatus and method for real-time traffic information service |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020080015290A KR20090090049A (en) | 2008-02-20 | 2008-02-20 | Apparatus and method for real-time traffic information service |
Publications (1)
Publication Number | Publication Date |
---|---|
KR20090090049A true KR20090090049A (en) | 2009-08-25 |
Family
ID=41208006
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
KR1020080015290A KR20090090049A (en) | 2008-02-20 | 2008-02-20 | Apparatus and method for real-time traffic information service |
Country Status (1)
Country | Link |
---|---|
KR (1) | KR20090090049A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150146303A (en) * | 2014-06-23 | 2015-12-31 | 경북대학교 산학협력단 | Apparatus and method for traffic information |
US10424195B2 (en) | 2015-10-27 | 2019-09-24 | Hyundai Motor Company | Traffic prediction system, vehicle-mounted display apparatus, vehicle, and traffic prediction method |
CN111951570A (en) * | 2019-05-17 | 2020-11-17 | 上海晶赞融宣科技有限公司 | Control method, device and system of traffic signal lamp |
KR102322095B1 (en) * | 2021-07-29 | 2021-11-04 | (주)파란아이티 | Road condition guidance system |
KR20230148050A (en) | 2022-04-15 | 2023-10-24 | 성균관대학교산학협력단 | Method for predicting traffic information and apparatus thereof |
CN116959273A (en) * | 2023-07-31 | 2023-10-27 | 宁波德尔菲信息科技有限公司 | Traffic signal lamp remote control system based on Internet of things |
KR102662365B1 (en) * | 2023-07-10 | 2024-05-03 | 주식회사 아이나비시스템즈 | Apparatus and method for generating traffic information |
-
2008
- 2008-02-20 KR KR1020080015290A patent/KR20090090049A/en not_active Application Discontinuation
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150146303A (en) * | 2014-06-23 | 2015-12-31 | 경북대학교 산학협력단 | Apparatus and method for traffic information |
US10424195B2 (en) | 2015-10-27 | 2019-09-24 | Hyundai Motor Company | Traffic prediction system, vehicle-mounted display apparatus, vehicle, and traffic prediction method |
CN111951570A (en) * | 2019-05-17 | 2020-11-17 | 上海晶赞融宣科技有限公司 | Control method, device and system of traffic signal lamp |
KR102322095B1 (en) * | 2021-07-29 | 2021-11-04 | (주)파란아이티 | Road condition guidance system |
KR20230148050A (en) | 2022-04-15 | 2023-10-24 | 성균관대학교산학협력단 | Method for predicting traffic information and apparatus thereof |
KR102662365B1 (en) * | 2023-07-10 | 2024-05-03 | 주식회사 아이나비시스템즈 | Apparatus and method for generating traffic information |
CN116959273A (en) * | 2023-07-31 | 2023-10-27 | 宁波德尔菲信息科技有限公司 | Traffic signal lamp remote control system based on Internet of things |
CN116959273B (en) * | 2023-07-31 | 2024-01-23 | 宁波德尔菲信息科技有限公司 | Traffic signal lamp remote control system based on Internet of things |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107784835B (en) | Traffic state mode prediction system based on traffic data analysis and prediction method thereof | |
KR101995813B1 (en) | Apparatus for providing traffic information based on image and method thereof | |
EP3078937B1 (en) | Vehicle position estimation system, device, method, and camera device | |
CN104851295B (en) | Obtain the method and system of traffic information | |
KR102029656B1 (en) | IoT based Embedded traffic signal autonomous operation system | |
CN113706737B (en) | Road surface inspection system and method based on automatic driving vehicle | |
KR20090090049A (en) | Apparatus and method for real-time traffic information service | |
CN102903237B (en) | Device and method for traffic management service | |
JP6456838B2 (en) | Street device health monitoring | |
US6909963B1 (en) | Method and apparatus for adding commercial value to traffic control systems | |
JP7528925B2 (en) | MOBILE OBJECT MONITORING SYSTEM, CONTROL SERVER FOR MOBILE OBJECT MONITORING SYSTEM, AND MOBILE OBJECT MONITORING METHOD | |
KR101663985B1 (en) | Traffic report providing device using wave communication and method thereof | |
US20120162431A1 (en) | Methods and systems for monitoring traffic flow | |
US9641806B2 (en) | Average speed detection with flash illumination | |
WO2014013545A1 (en) | In-vehicle device and center device | |
KR102418051B1 (en) | Lane traffic situation judgement apparatus, system, and method thereof | |
JP2013149035A (en) | Information providing device | |
KR101841978B1 (en) | Intersection traffic detection system using the terrestrial magnetism sensor | |
CN109887295A (en) | A kind of traffic monitoring method based on street lamp block chain technology | |
KR102181032B1 (en) | Real time road traffic information providing server and operation method thereof | |
JP5339990B2 (en) | Navigation device and congestion status display method thereof | |
CN107730890B (en) | Intelligent transportation method based on traffic flow speed prediction in real-time scene | |
KR100999416B1 (en) | Providing system of driving information by simulating with cctv's shooting information | |
KR102600313B1 (en) | Method for analyzing information of vehicle path of intersection | |
KR20150120748A (en) | Traffic information system and Traffic information providing method by using over speed camera |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A201 | Request for examination | ||
E902 | Notification of reason for refusal | ||
E902 | Notification of reason for refusal | ||
E601 | Decision to refuse application |