CN109447316A - Use Che Fangfa - Google Patents
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- CN109447316A CN109447316A CN201811107967.4A CN201811107967A CN109447316A CN 109447316 A CN109447316 A CN 109447316A CN 201811107967 A CN201811107967 A CN 201811107967A CN 109447316 A CN109447316 A CN 109447316A
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Abstract
Che Fangfa is used the present invention provides a kind of, comprising: what server reception user terminal was sent uses vehicle information；Request and time of using cars are selected according to target line, determines target vehicle；Receive most preferably getting on the bus a little for target vehicle transmission；It receives the estimated of target vehicle transmission and reaches the time；According to point, E.T.A and the target vehicle of most preferably getting on the bus, generates identifying code and be sent to user terminal；When target vehicle travel to most preferably get on the bus point after, receive target vehicle send the first code scaning information；First code scaning information includes the location information that user gets on the bus；Receive the second code scaning information that target vehicle is sent；Second code scaning information includes the location information that user gets off；The location information that the location information and user got on the bus according to user are got off calculates service fee information；Service fee information is sent to user terminal.Hereby it is achieved that big passenger capacity automatic driving vehicle can be scheduled according to the demand of user, improves with vehicle efficiency, shorten waiting time.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a vehicle using method.
Background
With the high development of internet technology and the popularization of intelligent devices, traditional traffic technology is gradually evolving into an intelligent traffic system.
In the prior art, a bus is a far-distance travel mode which is much concerned due to low cost and large passenger capacity, the bus has a fixed parking spot in the operation process, a user needs to wait at the fixed parking spot, and the user often needs to spend extra time for waiting due to weather reasons, road condition information, scheduling reasons and the like.
Therefore, how to improve the intelligent degree of the vehicle so that the vehicle can be scheduled according to the requirements of users becomes a problem to be solved urgently.
Disclosure of Invention
The embodiment of the invention aims to provide a vehicle using method of an unmanned vehicle, which aims to solve the problem that a vehicle with large passenger capacity in the prior art is not high in intelligent degree.
In order to solve the above problems, the present invention provides a method for using a vehicle, including:
the server receives the vehicle using information sent by the user terminal; the vehicle using information comprises current position information of a user, vehicle using time and a target route selection request;
determining a target vehicle according to the target route selection request and the vehicle using time;
sending the current position information of the user to the target vehicle;
receiving an optimal boarding point sent by the target vehicle; the optimal boarding point is determined by the target vehicle according to the current position information of the target vehicle and the current position information of the user;
receiving a projected time of arrival transmitted by the target vehicle; the predicted arrival time is determined by the target vehicle according to the current position information, the best boarding point, the road condition information and the conventional waiting time;
generating a verification code according to the optimal boarding point, the predicted arrival time and the target vehicle;
sending the verification code to the user terminal;
after the target vehicle runs to the optimal boarding point, receiving first scanning code information sent by the target vehicle; the first scanning code information comprises position information of a user getting on a vehicle;
receiving second code scanning information sent by the target vehicle; the second code scanning information comprises position information of getting off of the user;
calculating service cost information according to the position information of the user getting on the bus and the position information of the user getting off the bus;
and sending the service cost information to the user terminal.
Preferably, the method further comprises the following steps:
the server receives sign information on each line acquired by at least one vehicle;
and setting a boarding point on each line according to the mark information.
Preferably, the method further comprises the following steps:
the server receives a line information calling request sent by a user terminal;
according to the line information calling request, sending line information to the user terminal so that the user terminal can display the line information on an interface of the user terminal;
receiving a target line selection request sent by a user terminal; the target line selection request is generated by the user terminal according to a line selection operation of a user;
and determining target line information according to the line selection request.
Preferably, the determining a target vehicle according to the target route selection request and the vehicle-using time specifically includes:
the server determines target line information according to the target line selection request;
determining the use conditions of all vehicles on the target route according to the vehicle use time; the all-vehicle use condition comprises that a first part of vehicles are used and a second part of vehicles are not used;
determining a target vehicle from the second part of vehicles according to the hardware information of the second part of vehicles; or,
and determining the target vehicle according to the position information of each vehicle in the first part of vehicles and the position information of the user.
Preferably, the calculating service charge information according to the location information of the user getting on the vehicle and the location information of the user getting off the vehicle specifically includes:
determining mileage data according to the position information of the user getting on the vehicle and the position information of the user getting off the vehicle;
and determining the riding cost according to the mileage data and a preset mileage data-riding cost comparison table, wherein the mileage data and the riding cost form service cost information.
Preferably, the first code scanning information further comprises user information and time for a user to get on the vehicle, and the second code scanning information further comprises time for the user to get off the vehicle;
the calculating service charge information according to the position information of the user getting on the vehicle and the position information of the user getting off the vehicle specifically comprises:
judging whether the peak time period is the peak time period or not according to the time for the user to get on the bus and the time for the user to get off the bus;
when the peak time is up, generating a first fare influencing factor;
counting the accumulated riding times of the user according to the user information;
judging whether the accumulated riding times of the user exceed a preset time threshold;
when the accumulated riding times exceed a preset times threshold value, generating a second fare influencing factor;
and determining service cost information according to the mileage data, the first vehicle cost influence factor and the second vehicle cost influence factor.
Preferably, the car using information further comprises the number of car using people;
the determination of the optimal boarding point by the target vehicle according to the current position information of the target vehicle and the current position information of the user specifically comprises the following steps:
the target vehicle receives current position information of at least one user sent by a server;
determining the number of people using the vehicle in a first area within a first time length according to the current position information of the at least one user and the preset first time length;
when the number of people using the vehicle in the first area exceeds a preset number threshold within the first duration, modifying the target line information;
and calculating the optimal boarding point according to the modified target route information.
Preferably, the method further comprises:
the user terminal receives payment confirmation information input by the user according to the service fee information;
and the server receives a payment success message sent by the third-party server and updates the order payment state information in the order information from the state to be paid to a payment completion state.
By applying the vehicle using method provided by the invention, the unmanned vehicle with large passenger capacity can be scheduled according to the requirements of users, and the optimal parking point can be intelligently planned according to the number of the users and the like, so that the vehicle using efficiency is improved, and the waiting time is shortened.
Drawings
Fig. 1 is a schematic flow chart of a vehicle using method provided by an embodiment of the invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be further noted that, for the convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a schematic flow chart of a vehicle using method provided by an embodiment of the invention. The vehicle utilization method is executed in a server of an unmanned vehicle, which is a vehicle with a large passenger capacity, for example, the vehicle may be an unmanned bus. As shown in fig. 1, the method comprises the steps of:
step 101, the server receives the car use information sent by the user terminal.
The vehicle using information comprises current position information of a user, vehicle using time and a target route selection request.
Prior to step 101, the method further comprises:
firstly, a user terminal receives a line information calling request of a user;
then, according to the line information calling request, sending the line information to the user terminal so that the user terminal can display the line information on an interface of the user terminal;
next, receiving a target line selection request sent by a user terminal; the target line selection request is generated by the user terminal according to the line selection operation of the user;
and finally, determining target line information according to the line selection request.
Specifically, the car information is sent by the user side, the user operates the application of the car calling service loaded by the user terminal, the application is selected, through the selections, the service side generates a line information calling request, and an interface comprising a plurality of pieces of line information is obtained through the request.
Of course, the collection of the user information is involved in the process, and specifically, the login information input by the user can be received before the user terminal receives the line information calling request input by the user, and the information of the user is determined according to the login information; or after generating and displaying an interface of the plurality of pieces of line information, receiving information input by the user through the interface.
The information of the user may include a user Identification (ID), a user attribute, and the like. The user attribute refers to that the user is a personal user or a unit user; under the user attribute, the number of cars, such as 1, 10, etc., can also be input.
Preferably, after the user terminal calls the interface data including the plurality of pieces of line information in the memory of the user terminal according to the line information call request, the method of the present invention further includes confirming whether the version of the interface data including the plurality of pieces of line information is the latest version, and if not, downloading and acquiring the latest version from the server, and regenerating the interface including the plurality of lines.
And step 102, determining a target vehicle according to the target route selection request and the vehicle using time.
Specifically, in one example, under each route, a plurality of vehicles are included, each having its operating time period. The server stores a comparison table of the route information, the vehicle running time and the vehicle ID, and the comparison table is inquired according to the target route information and the vehicle using time so as to determine the target vehicle.
In another example, all vehicle usage on the target route may be determined based on the time spent. For example, in the case of 9: and in the time period of 00-9:20, the first part of vehicles are already running on the target line, the second part of vehicles are in an unused state, and the target vehicles can be determined from the second part of unused vehicles. At this time, the target vehicle may be determined based on hardware information of the vehicles, such as the remaining oil amount, the historical mileage, and the like.
In yet another example, the target vehicle may be determined from vehicles that have a first portion traveling on the target route. At this time, the vehicle running on the target line can perform calculation according to the current position information, the current speed, the current road condition, the position information of the user and the like, so as to ensure that the waiting time of the user is within a preset range.
And 103, transmitting the current position information of the user to the target vehicle.
104, receiving the optimal boarding point sent by the target vehicle; the optimal pick-up point is determined by the target vehicle according to the current position information of the target vehicle and the current position information of the user.
The current location information of the target vehicle may be determined in the following two ways, and in one example, the target vehicle is provided with a Global Positioning System (GPS), so that the current location information of the target vehicle can be acquired. In another example, the target vehicle and the server may be connected through Wireless-Fidelity (Wi-Fi), the positioning end only needs to listen to which vehicles (or which hotspots) are nearby, detect the signal strength of each vehicle, send the information to the server, and the server performs calculation according to the information to know the current specific position information of the vehicle, and finally send the current position information to the vehicle.
On each route, there are a plurality of boarding points, which are set in advance. The boarding point can be determined in the following manner.
Firstly, a server receives sign information on each line collected by at least one vehicle;
and finally, setting a boarding point on each line according to the mark information.
Specifically, before the vehicle using method is used, the unmanned vehicle runs on a target line, sign information on the target line, such as a slogan with a word of 'stop at this place' or a logo of stop at some place, is collected, and these sign information are analyzed and stored to exclude these places when a boarding point is set.
In one example, when the target vehicle is a vehicle which is not used in the second part, the map information of the target route is stored in the target vehicle, or the target vehicle calls the map information from a server, and the map information is combined to perform calculation according to the position information of the user, and the station closest to the user is determined as the best boarding point according to the distance priority principle.
For example, the location information of the user is a, the stations closer to a are a station B and a station C, and the distance from the station B to the station a is closer to a than the distance from the station C to the station a through calculation, so that the station B can be determined as the best pick-up point.
In another example, when the target vehicle is the first partial vehicle, a calculation may be performed to determine a station closest to the user as the best boarding point, in combination with map information, based on the position information of the user and the current traveling speed of the vehicle.
In yet another example, the car occupancy information further includes a number of car occupants. When the number of the received vehicle information in the first area is large within a certain time, the target vehicle can automatically plan a path and calculate a new optimal boarding point.
Specifically, firstly, a target vehicle receives current position information of at least one user sent by a server; then, determining the number of people using the vehicle in a first area within a first time length according to the current position information of at least one user and the preset first time length; then, when the number of people using the vehicle in the first area exceeds a preset number threshold within the first duration, modifying the target line information; and finally, calculating the optimal boarding point according to the modified target route information.
The optimal boarding point can be calculated according to the number of people using the vehicle and the position information of the people, and the calculated optimal boarding point is the optimal boarding point. Therefore, the optimal boarding point is automatically planned according to the number of people using the vehicle and the position information of the people, the waiting time of a user is shortened, and the vehicle using efficiency is improved.
Step 105, receiving the predicted arrival time sent by the target vehicle; the predicted arrival time is determined by the target vehicle according to the current position information, the best boarding point, the road condition information and the conventional waiting time.
Specifically, the target vehicle may determine the original estimated arrival time to the optimal boarding point according to the current location information, the optimal boarding point, and the road condition information.
The regular waiting time is the time for waiting for the user to arrive after the target vehicle arrives at the optimal boarding point. The normal waiting time is generally preset, for example, 2 minutes.
In one example, the target vehicle may obtain map information corresponding to the target route information from the server in real time, obtain congestion conditions of roads from the map information in real time, and determine the road condition information in combination with whether the vehicle-using time is a peak time.
At step 106, a verification code is generated based on the optimal pick-up point, the estimated arrival time, and the target vehicle I D.
Specifically, the server may process the optimal pick-up point, the estimated arrival time, and the target vehicle ID to generate the verification code.
Step 107, the verification code is sent to the user terminal.
And step 108, after the target vehicle runs to the optimal boarding point, receiving first scanning code information sent by the target vehicle.
Specifically, after a user gets on the vehicle, the verification code is displayed on an interface of the user terminal, a code scanning device on the target vehicle scans the verification code on the user terminal to generate first code scanning information, and the code scanning device sends the first code scanning information to the server.
The first scanning code information comprises position information of getting-on of a user and time information of getting-on of the user.
It is understood that the location information of the user getting on the bus, the time information of the user getting on the bus, the terminal ID, and the user information are all related.
Step 109, receiving second code scanning information sent by the target vehicle; the second code scanning information comprises position information of the user for getting off the vehicle.
The second scan code information is generated in the same manner as the first scan code information, and is not described herein again.
And step 110, calculating service charge information according to the position information of the user getting on the bus and the position information of the user getting off the bus.
Specifically, in one example, step 110 includes the following steps:
firstly, determining mileage data according to position information of a user getting on a vehicle and position information of a user getting off the vehicle;
and finally, determining the riding cost according to the mileage data and a preset mileage data-riding cost comparison table, wherein the mileage data and the riding cost form service cost information.
In another example, step 110 specifically includes the following steps:
firstly, judging whether the peak time period is a peak time period or not according to the time of getting on the bus by the user and the time of getting off the bus by the user;
then, when the peak time is in, generating a first fare influencing factor;
then, according to the user information, counting the accumulated riding times of the user;
then, judging whether the accumulated riding times of the user exceeds a preset time threshold value;
then, when the accumulated number of times of taking the car exceeds a preset number threshold, generating a second fare influencing factor;
and finally, determining service cost information according to the mileage data, the first vehicle cost influence factor and the second vehicle cost influence factor.
Therefore, the service cost information is related to whether the peak time is reached or not and the accumulated riding times of the user, and the obtained service cost information is more reasonable.
And step 111, sending the service charge information to the user terminal.
When the user terminal receives payment confirmation information input by the user according to the service fee information of the order; the payment confirmation information is sent to a third-party server (a server of the payment service), the third-party server verifies the payment operation, when the verification is successful, the server receives a payment success message sent by the third-party server, updates the order payment state information in the order information from the state to be paid to a payment completion state, and of course, generates order updating data and sends the order updating data to the user terminal to inform the user of the successful payment.
By applying the vehicle using method provided by the invention, the unmanned vehicle with large passenger capacity can be scheduled according to the requirements of users, and the optimal parking point can be intelligently planned according to the number of the users and the like, so that the vehicle using efficiency is improved, and the waiting time is shortened.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for using a vehicle, the method comprising:
the server receives the vehicle using information sent by the user terminal; the vehicle using information comprises current position information of a user, vehicle using time and a target route selection request;
determining a target vehicle according to the target route selection request and the vehicle using time;
sending the current position information of the user to the target vehicle;
receiving an optimal boarding point sent by the target vehicle; the optimal boarding point is determined by the target vehicle according to the current position information of the target vehicle and the current position information of the user;
receiving a projected time of arrival transmitted by the target vehicle; the predicted arrival time is determined by the target vehicle according to the current position information, the best boarding point, the road condition information and the conventional waiting time;
generating a verification code according to the optimal boarding point, the predicted arrival time and the target vehicle;
sending the verification code to the user terminal;
after the target vehicle runs to the optimal boarding point, receiving first scanning code information sent by the target vehicle; the first scanning code information comprises position information of a user getting on a vehicle;
receiving second code scanning information sent by the target vehicle; the second code scanning information comprises position information of getting off of the user;
calculating service cost information according to the position information of the user getting on the bus and the position information of the user getting off the bus;
and sending the service cost information to the user terminal.
2. The method of using a vehicle of claim 1, further comprising, prior to the method:
the server receives sign information on each line acquired by at least one vehicle;
and setting a boarding point on each line according to the mark information.
3. The method of using a vehicle of claim 1, further comprising, prior to the method:
the server receives a line information calling request sent by a user terminal;
according to the line information calling request, sending line information to the user terminal so that the user terminal can display the line information on an interface of the user terminal;
receiving a target line selection request sent by a user terminal; the target line selection request is generated by the user terminal according to a line selection operation of a user;
and determining target line information according to the line selection request.
4. The method according to claim 1, wherein the determining a target vehicle according to the target route selection request and the vehicle-using time specifically comprises:
the server determines target line information according to the target line selection request;
determining the use conditions of all vehicles on the target route according to the vehicle use time; the all-vehicle use condition comprises that a first part of vehicles are used and a second part of vehicles are not used;
determining a target vehicle from the second part of vehicles according to the hardware information of the second part of vehicles; or,
and determining the target vehicle according to the position information of each vehicle in the first part of vehicles and the position information of the user.
5. The method as claimed in claim 1, wherein the calculating service charge information according to the location information of the user getting on the vehicle and the location information of the user getting off the vehicle specifically comprises:
determining mileage data according to the position information of the user getting on the vehicle and the position information of the user getting off the vehicle;
and determining the riding cost according to the mileage data and a preset mileage data-riding cost comparison table, wherein the mileage data and the riding cost form service cost information.
6. The method of claim 1, wherein the first code scanning information further comprises user information and a time when a user gets on the vehicle, and the second code scanning information further comprises a time when the user gets off the vehicle;
the calculating service charge information according to the position information of the user getting on the vehicle and the position information of the user getting off the vehicle specifically comprises:
judging whether the peak time period is the peak time period or not according to the time for the user to get on the bus and the time for the user to get off the bus;
when the peak time is up, generating a first fare influencing factor;
counting the accumulated riding times of the user according to the user information;
judging whether the accumulated riding times of the user exceed a preset time threshold;
when the accumulated riding times exceed a preset times threshold value, generating a second fare influencing factor;
and determining service cost information according to the mileage data, the first vehicle cost influence factor and the second vehicle cost influence factor.
7. The method of claim 1, wherein the car usage information further comprises a number of cars used;
the determination of the optimal boarding point by the target vehicle according to the current position information of the target vehicle and the current position information of the user specifically comprises the following steps:
the target vehicle receives current position information of at least one user sent by a server;
determining the number of people using the vehicle in a first area within a first time length according to the current position information of the at least one user and the preset first time length;
when the number of people using the vehicle in the first area exceeds a preset number threshold within the first duration, modifying the target line information;
and calculating the optimal boarding point according to the modified target route information.
8. The method for using a vehicle according to claims 1, 6 and 7, characterized in that the method further comprises:
the user terminal receives payment confirmation information input by the user according to the service fee information;
and the server receives a payment success message sent by the third-party server and updates the order payment state information in the order information from the state to be paid to a payment completion state.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114373320A (en) * | 2022-01-12 | 2022-04-19 | 广州小鹏自动驾驶科技有限公司 | Passenger-riding parking method, vehicle-mounted terminal and readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070048864A (en) * | 2005-11-07 | 2007-05-10 | (주)프리엠닷컴 | Management service system for cars |
| CN106295829A (en) * | 2016-08-15 | 2017-01-04 | 成都云科新能汽车技术有限公司 | A kind of based on user side and high in the clouds platform mutual order car method |
| CN106448137A (en) * | 2016-11-04 | 2017-02-22 | 东南大学 | Public transportation service system and method based on electric automobile |
| CN106651175A (en) * | 2016-12-21 | 2017-05-10 | 驭势科技（北京）有限公司 | Unmanned vehicle operation management system, general control platform, branch control platform, vehicle-mounted computation device and computer readable storage medium |
| CN108766008A (en) * | 2018-04-27 | 2018-11-06 | 北京智行者科技有限公司 | The dispatching method and system of automatic driving vehicle |
-
2018
- 2018-09-21 CN CN201811107967.4A patent/CN109447316B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070048864A (en) * | 2005-11-07 | 2007-05-10 | (주)프리엠닷컴 | Management service system for cars |
| CN106295829A (en) * | 2016-08-15 | 2017-01-04 | 成都云科新能汽车技术有限公司 | A kind of based on user side and high in the clouds platform mutual order car method |
| CN106448137A (en) * | 2016-11-04 | 2017-02-22 | 东南大学 | Public transportation service system and method based on electric automobile |
| CN106651175A (en) * | 2016-12-21 | 2017-05-10 | 驭势科技（北京）有限公司 | Unmanned vehicle operation management system, general control platform, branch control platform, vehicle-mounted computation device and computer readable storage medium |
| CN108766008A (en) * | 2018-04-27 | 2018-11-06 | 北京智行者科技有限公司 | The dispatching method and system of automatic driving vehicle |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114373320A (en) * | 2022-01-12 | 2022-04-19 | 广州小鹏自动驾驶科技有限公司 | Passenger-riding parking method, vehicle-mounted terminal and readable storage medium |
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| CN109447316B (en) | 2020-06-26 |
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Address after: B4-006, maker Plaza, 338 East Street, Huilongguan town, Changping District, Beijing 100096 Patentee after: Beijing Idriverplus Technology Co.,Ltd. Address before: B4-006, maker Plaza, 338 East Street, Huilongguan town, Changping District, Beijing 100096 Patentee before: Beijing Idriverplus Technology Co.,Ltd. |