CN111461375A - Service system and method for automatically driving automobile by intelligent network contract - Google Patents
Service system and method for automatically driving automobile by intelligent network contract Download PDFInfo
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Abstract
The invention discloses a service system for automatically driving a car by an intelligent network, which comprises: the intelligent taxi appointment system comprises an intelligent taxi appointment client, an operation management platform and a vehicle-mounted client; a service method for automatically driving a car by an intelligent network, comprising: the intelligent taxi appointment client inputs and uploads taxi appointment request information to the operation management platform; the operation management platform receives the passenger car appointment request information, allocates and plans a path; the vehicle-mounted client receives the dispatching information, drives the automatic driving automobile to pick up and deliver passengers according to the path planning scheme, and sends the passengers to a specified place and then sends the cost information; and the intelligent car booking client pays for the journey. The invention can effectively solve the problem of insufficient safety caused by uneven driver quality, and can continuously optimize the vehicle allocation algorithm and the path planning algorithm, thereby further improving the service experience of passengers and enabling the system and the method to be more perfect.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a service system and a service method for automatically driving an automobile by an intelligent appointment.
Background
With the continuous development of modern science and technology, the net appointment vehicle plays an important role in the modern society for a long time, and provides convenience for people to go out in daily life. However, in the current operation process of the networked car appointment, after a driver receives an order, the car is driven to a passenger designated place so as to pick up and deliver the passenger, in the operation service process, a certain proportion of cases that the driver service consciousness is poor, the service is not standard, even the cases of infringing the legal rights and interests of the passenger and infringing the personal safety of the passenger exist, so that the credit of the networked car appointment industry is seriously damaged, the public trust of the networked car appointment is continuously reduced, and the selection of the driver becomes a difficult problem faced by the current networked car appointment platform.
Therefore, it is an urgent need to solve the problem of the art to provide a service system and method for automatically driving a car by an intelligent network.
Disclosure of Invention
In view of the above, the invention provides a service system and a method for automatically driving an automobile by an intelligent taxi appointment, which effectively solve the problem of insufficient safety caused by uneven driver quality of the intelligent taxi appointment in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent booking automatic driving service system of a car, comprising: the intelligent taxi appointment system comprises an intelligent taxi appointment client, an operation management platform and a vehicle-mounted client, wherein the intelligent taxi appointment client and the vehicle-mounted client are both in wireless connection with the operation management platform;
the intelligent taxi appointment client is used for inputting and uploading taxi appointment request information and paying the travel;
the operation management platform is used for receiving the passenger car booking request information, allocating and planning paths of the vehicles according to the boarding and alighting places of the passengers, continuously optimizing a vehicle allocation algorithm and a path planning algorithm in the using process and providing an optimal allocation scheme and a path planning scheme;
and the vehicle-mounted client is used for receiving the allocation information from the operation management platform and driving the automatic driving automobile to pick up and deliver passengers according to the path planning scheme.
Preferably, the intelligent car booking client comprises: the system comprises a user registration login module, a car booking request module, a map display module and a fee payment module;
the user registration login module is used for creating a user account and realizing the login of a user;
the request car booking module is used for inputting car booking request information and sending the car booking request information to the operation management platform, wherein the car booking request information comprises: information of getting on and off places, the number of passengers and whether the passengers are willing to take the bus with strangers;
the map display module is used for displaying a map and displaying the position of the automatic driving automobile on the map in real time;
and the fee payment module is used for receiving the information of the fee to be paid and completing payment.
Preferably, the operation management platform includes: the system comprises an information storage module, a request receiving module, a vehicle scheduling module, a vehicle management module and a deep learning module;
the information storage module is used for storing information data, and the information data comprises: user information, order information, vehicle allocation history and path planning history;
the request receiving module is used for receiving the car booking request information sent by the car booking request module and sending the request information to the vehicle scheduling module;
the vehicle management module is used for managing all automatic driving vehicles and acquiring positioning information and working state information of the automatic driving vehicles in real time;
the vehicle dispatching module is used for analyzing the getting-on and getting-off places of passengers and planning a path and dispatching vehicles according to the car booking request information of the passengers and the positioning information of the automatic driving car;
the deep learning module is used for calling the information data stored in the information storage module, analyzing the habits of the user through big data, and continuously optimizing the allocation of the vehicle and the planning algorithm of the path through continuously training the neural network model.
Preferably, the vehicle-mounted client is mounted on each automatic driving automobile and comprises a GPS module, a people counting module, a vehicle driving module, a wireless communication module and a charging module;
the GPS module is used for positioning the automatic driving automobile and sending positioning information to the operation management platform;
the people counting module is used for counting the number of passengers on the vehicle and sending the number of passengers to the operation management platform;
the vehicle driving module is used for automatically driving a vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with the vehicle management module in real time;
the wireless communication module is used for communication between the automatic driving automobile and the operation management platform;
and the charging module is used for charging according to the distance between the starting point and the destination point and a charging rule and sending the required charging information to the fee payment module.
A service method for automatically driving a car by an intelligent network comprises the following steps:
s1, an intelligent taxi appointment client inputs and uploads taxi appointment request information to an operation management platform;
s2, the operation management platform receives the passenger car appointment request information, and allocates and plans the vehicles according to the boarding and alighting places of the passengers;
s3, the vehicle-mounted client receives the allocation information from the operation management platform, drives the automatic driving automobile to pick up and deliver passengers according to a path planning scheme, and sends the passengers to a specified place and then sends cost information;
and S4, the intelligent taxi booking client pays for the journey.
Preferably, S1 specifically includes the following:
s11, creating a user account through a user registration login module to realize login of a user;
s12, vehicle booking request information is input through the vehicle booking request module, and the vehicle booking request information is sent to the vehicle management module, wherein the vehicle booking request information comprises: information of the boarding and alighting places, the number of passengers and whether the passengers are willing to take the bus with strangers.
Preferably, S2 specifically includes the following:
s21, an information storage module receives and stores information data, wherein the information data comprises: user information, order information, vehicle allocation history and path planning history;
s22, the GPS module positions the automatic driving automobile, sends positioning information to the automobile management module, counts the number of passengers in the automobile through the number counting module, and sends the number of passengers to the automobile management module; the vehicle management module sends the positioning information and the working state information of the automatic driving vehicle acquired in real time to the vehicle scheduling module;
and S23, the vehicle dispatching module analyzes the getting-on and getting-off places of the passengers, and carries out route planning and vehicle dispatching according to the car booking request information of the passengers and the positioning information and the working state information of the automatic driving car.
Preferably, the specific contents of S3 include:
s31, a vehicle driving module is used for automatically driving a vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with the vehicle management module through a wireless communication module in real time;
s32, after the passenger arrives at the appointed destination, the charging module charges according to the distance between the starting point and the destination and a charging rule, and sends the required charging information to the fee payment module;
and S33, after the operation management platform detects that the payment is successful, planning a temporary parking place for the current automatic driving automobile nearby through the vehicle scheduling module.
Preferably, after the vehicle management module receives the car appointment request information of the current passenger, whether the current passenger is willing to take the passenger with a stranger is detected;
if the number of passengers can be counted, the number of passengers can be reported to the vehicle dispatching module for the vehicle dispatching module to carry out data analysis;
if the driver does not want to, the current automatic driving automobile does not carry other passengers.
Preferably, the deep learning module calls the information data stored in the information storage module in real time, analyzes the habits of the user through big data, and continuously optimizes the vehicle allocation and path planning algorithm through continuously training the neural network model.
According to the technical scheme, compared with the prior art, the service system and the method for automatically driving the automobile by the intelligent network are disclosed, in the prior art, the automobile is generally driven by a driver to pick up and deliver passengers after the vehicle is picked up, the traditional mode has larger hidden danger, the automatically driven automobile is applied to the field of the automobile reservation, the problem of insufficient safety caused by uneven driver quality can be effectively solved, in addition, the operation management platform can carry out automobile allocation and path planning according to the places where the passengers are located, the waiting time can be effectively shortened, the efficiency of picking up and delivering the passenger can be improved, and the automobile allocation algorithm and the path planning algorithm can be continuously optimized, so that the service experience of the passengers is further improved, and the system and the method can be more perfect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of a service system for automatically driving a car by an intelligent network according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a service method for automatically driving a car by an intelligent network contract according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a service system for automatically driving a car by an intelligent network, which comprises: the intelligent taxi appointment system comprises an intelligent taxi appointment client, an operation management platform and a vehicle-mounted client, wherein the intelligent taxi appointment client and the vehicle-mounted client are both in wireless connection with the operation management platform;
the intelligent taxi appointment client is used for inputting and uploading taxi appointment request information and paying the travel;
the operation management platform is used for receiving the passenger car booking request information, allocating and planning paths of the vehicles according to the boarding and alighting places of the passengers, continuously optimizing a vehicle allocation algorithm and a path planning algorithm in the using process and providing an optimal allocation scheme and a path planning scheme;
and the vehicle-mounted client is used for receiving the allocation information from the operation management platform and driving the automatic driving automobile to pick up and deliver passengers according to the path planning scheme.
In order to further implement the above technical solution, the intelligent car booking client includes: the system comprises a user registration login module, a car booking request module, a map display module and a fee payment module;
the user registration login module is used for creating a user account and realizing the login of a user;
the request car booking module is used for entering car booking request information and sending the car booking request information to the operation management platform, wherein the car booking request information comprises: information of getting on and off places, the number of passengers and whether the passengers are willing to take the bus with strangers;
the map display module is used for displaying a map and displaying the position of the automatic driving automobile on the map in real time;
and the fee payment module is used for receiving the information of the fee to be paid and completing payment.
In order to further implement the above technical solution, the operation management platform includes: the system comprises an information storage module, a request receiving module, a vehicle scheduling module, a vehicle management module and a deep learning module;
the information storage module is used for storing information data, and the information data comprises: user information, order information, vehicle allocation history and path planning history;
the request receiving module is used for receiving the vehicle booking request information sent by the vehicle booking request module and sending the request information to the vehicle scheduling module;
the vehicle management module is used for managing all automatic driving automobiles and acquiring positioning information and working state information of the automatic driving automobiles in real time;
the vehicle dispatching module is used for analyzing the getting-on and getting-off places of passengers and planning a path and dispatching vehicles according to the car booking request information of the passengers and the positioning information of the automatic driving car;
and the deep learning module is used for calling the information data stored in the information storage module, analyzing the habits of the user through big data, and continuously optimizing the vehicle dispatching and path planning algorithm through continuously training the neural network model.
In order to further implement the technical scheme, a vehicle-mounted client is mounted on each automatic driving automobile and comprises a GPS module, a people counting module, a vehicle driving module, a wireless communication module and a charging module;
the GPS module is used for positioning the automatic driving automobile and sending positioning information to the operation management platform;
the number counting module is used for counting the number of passengers on the vehicle and sending the number to the operation management platform;
the vehicle driving module is used for automatically driving the vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with the vehicle management module in real time;
the wireless communication module is used for communication between the automatic driving automobile and the operation management platform;
and the charging module is used for charging according to the distance between the starting point and the destination point and a charging rule and sending the required charging information to the charge payment module.
A service method for automatically driving a car by an intelligent network comprises the following steps:
s1, an intelligent taxi appointment client inputs and uploads taxi appointment request information to an operation management platform;
s2, the operation management platform receives the passenger car appointment request information, and allocates and plans the vehicles according to the boarding and alighting places of the passengers;
s3, the vehicle-mounted client receives allocation information from the operation management platform, drives the automatic driving automobile to pick up and deliver passengers according to a path planning scheme, and sends the passengers to a specified place and then sends cost information;
and S4, the intelligent taxi booking client pays for the journey.
In order to further implement the above technical solution, S1 specifically includes the following contents:
s11, creating a user account through a user registration login module to realize login of a user;
s12, vehicle booking request information is input through the vehicle booking request module, and the vehicle booking request information is sent to the vehicle management module, wherein the vehicle booking request information comprises: information of the boarding and alighting places, the number of passengers and whether the passengers are willing to take the bus with strangers.
In order to further implement the above technical solution, S2 specifically includes the following contents:
s21, the information storage module receives and stores information data, wherein the information data comprises: user information, order information, vehicle allocation history and path planning history;
s22, the GPS module positions the automatically driven automobile, sends positioning information to the vehicle management module, counts the number of passengers in the automobile through the number counting module, and sends the number of passengers to the vehicle management module; the vehicle management module sends the positioning information and the working state information of the automatic driving vehicle acquired in real time to the vehicle scheduling module;
and S23, the vehicle dispatching module analyzes the getting-on and getting-off places of the passengers, and carries out route planning and vehicle dispatching according to the car booking request information of the passengers and the positioning information and the working state information of the automatic driving car.
In order to further implement the above technical solution, the specific content of S3 includes:
s31, a vehicle driving module is used for automatically driving a vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with a vehicle management module through a wireless communication module in real time;
s32, after the passenger arrives at the appointed destination, the charging module charges according to the distance between the starting point and the destination and a charging rule, and sends the required charging information to the charge payment module;
and S33, after the operation management platform detects that the payment is successful, planning a temporary parking place for the current automatic driving automobile nearby through the vehicle scheduling module.
In order to further implement the technical scheme, after the vehicle management module receives the car appointment request information of the current passenger, whether the current passenger is willing to take the passenger with a stranger is detected;
if the passenger number is more than the preset value, the passenger number can be reported to the vehicle dispatching module for the vehicle dispatching module to carry out data analysis;
if the driver does not want to, the current automatic driving automobile does not carry other passengers.
In order to further implement the technical scheme, the deep learning module calls the information data stored in the information storage module in real time, analyzes the habits of the user through big data, and continuously optimizes the vehicle dispatching and path planning algorithm through continuously training the neural network model.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent booking automatic driving service system of a car, comprising: the intelligent taxi appointment system comprises an intelligent taxi appointment client, an operation management platform and a vehicle-mounted client, wherein the intelligent taxi appointment client and the vehicle-mounted client are both in wireless connection with the operation management platform;
the intelligent taxi appointment client is used for inputting and uploading taxi appointment request information and paying the travel;
the operation management platform is used for receiving the passenger car booking request information, allocating and planning paths of the vehicles according to the boarding and alighting places of the passengers, continuously optimizing a vehicle allocation algorithm and a path planning algorithm in the using process and providing an optimal allocation scheme and a path planning scheme;
and the vehicle-mounted client is used for receiving the allocation information from the operation management platform and driving the automatic driving automobile to pick up and deliver passengers according to the path planning scheme.
2. The system of claim 1, wherein the intelligent car booking client comprises: the system comprises a user registration login module, a car booking request module, a map display module and a fee payment module;
the user registration login module is used for creating a user account and realizing the login of a user;
the request car booking module is used for inputting car booking request information and sending the car booking request information to the operation management platform, wherein the car booking request information comprises: information of getting on and off places, the number of passengers and whether the passengers are willing to take the bus with strangers;
the map display module is used for displaying a map and displaying the position of the automatic driving automobile on the map in real time;
and the fee payment module is used for receiving the information of the fee to be paid and completing payment.
3. The service system of intelligent network contract autopilot car of claim 2 wherein said operations management platform comprises: the system comprises an information storage module, a request receiving module, a vehicle scheduling module, a vehicle management module and a deep learning module;
the information storage module is used for storing information data, and the information data comprises: user information, order information, vehicle allocation history and path planning history;
the request receiving module is used for receiving the car booking request information sent by the car booking request module and sending the request information to the vehicle scheduling module;
the vehicle management module is used for managing all automatic driving vehicles and acquiring positioning information and working state information of the automatic driving vehicles in real time;
the vehicle dispatching module is used for analyzing the getting-on and getting-off places of passengers and planning a path and dispatching vehicles according to the car booking request information of the passengers and the positioning information of the automatic driving car;
the deep learning module is used for calling the information data stored in the information storage module, analyzing the habits of the user through big data, and continuously optimizing the allocation of the vehicle and the planning algorithm of the path through continuously training the neural network model.
4. The system of claim 2, wherein the vehicle client is installed on each of the automatic driving vehicles, and comprises a GPS module, a people counting module, a vehicle driving module, a wireless communication module, and a charging module;
the GPS module is used for positioning the automatic driving automobile and sending positioning information to the operation management platform;
the people counting module is used for counting the number of passengers on the vehicle and sending the number of passengers to the operation management platform;
the vehicle driving module is used for automatically driving a vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with the vehicle management module in real time;
the wireless communication module is used for communication between the automatic driving automobile and the operation management platform;
and the charging module is used for charging according to the distance between the starting point and the destination point and a charging rule and sending the required charging information to the fee payment module.
5. A service method for automatically driving a car by an intelligent network is characterized by comprising the following steps:
s1, an intelligent taxi appointment client inputs and uploads taxi appointment request information to an operation management platform;
s2, the operation management platform receives the passenger car appointment request information, and allocates and plans the vehicles according to the boarding and alighting places of the passengers;
s3, the vehicle-mounted client receives the allocation information from the operation management platform, drives the automatic driving automobile to pick up and deliver passengers according to a path planning scheme, and sends the passengers to a specified place and then sends cost information;
and S4, the intelligent taxi booking client pays for the journey.
6. The method as claimed in claim 5, wherein the step S1 comprises the following steps:
s11, creating a user account through a user registration login module to realize login of a user;
s12, vehicle booking request information is input through the vehicle booking request module, and the vehicle booking request information is sent to the vehicle management module, wherein the vehicle booking request information comprises: information of the boarding and alighting places, the number of passengers and whether the passengers are willing to take the bus with strangers.
7. The method as claimed in claim 5, wherein the step S2 comprises the following steps:
s21, an information storage module receives and stores information data, wherein the information data comprises: user information, order information, vehicle allocation history and path planning history;
s22, the GPS module positions the automatic driving automobile, sends positioning information to the automobile management module, counts the number of passengers in the automobile through the number counting module, and sends the number of passengers to the automobile management module; the vehicle management module sends the positioning information and the working state information of the automatic driving vehicle acquired in real time to the vehicle scheduling module;
and S23, the vehicle dispatching module analyzes the getting-on and getting-off places of the passengers, and carries out route planning and vehicle dispatching according to the car booking request information of the passengers and the positioning information and the working state information of the automatic driving car.
8. The method as claimed in claim 5, wherein the step S3 includes:
s31, a vehicle driving module is used for automatically driving a vehicle to pick up and deliver passengers after receiving the allocation information and the path planning information, and sharing the working state of the vehicle with the vehicle management module through a wireless communication module in real time;
s32, after the passenger arrives at the appointed destination, the charging module charges according to the distance between the starting point and the destination and a charging rule, and sends the required charging information to the fee payment module;
and S33, after the operation management platform detects that the payment is successful, planning a temporary parking place for the current automatic driving automobile nearby through the vehicle scheduling module.
9. The service method of intelligent network contract automatic driving car as claimed in claim 5, wherein after the car management module receives the car contract request information of the current passenger, it detects whether the current passenger is willing to take the car with strangers;
if the number of passengers can be counted, the number of passengers can be reported to the vehicle dispatching module for the vehicle dispatching module to carry out data analysis;
if the driver does not want to, the current automatic driving automobile does not carry other passengers.
10. The method as claimed in claim 5, wherein the deep learning module retrieves the information data stored in the information storage module in real time, analyzes the user habit through big data, and continuously optimizes the vehicle allocation and path planning algorithm by continuously training the neural network model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010262709.4A CN111461375A (en) | 2020-04-02 | 2020-04-02 | Service system and method for automatically driving automobile by intelligent network contract |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010262709.4A CN111461375A (en) | 2020-04-02 | 2020-04-02 | Service system and method for automatically driving automobile by intelligent network contract |
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| CN111461375A true CN111461375A (en) | 2020-07-28 |
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| CN202010262709.4A Withdrawn CN111461375A (en) | 2020-04-02 | 2020-04-02 | Service system and method for automatically driving automobile by intelligent network contract |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112053549A (en) * | 2020-09-10 | 2020-12-08 | 南京世博电控技术有限公司 | Unmanned vehicle fleet scheduling system and method |
| CN114237130A (en) * | 2021-12-27 | 2022-03-25 | 东风悦享科技有限公司 | One-key taxi calling system and method based on Sharing-VAN automatic driving |
-
2020
- 2020-04-02 CN CN202010262709.4A patent/CN111461375A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112053549A (en) * | 2020-09-10 | 2020-12-08 | 南京世博电控技术有限公司 | Unmanned vehicle fleet scheduling system and method |
| CN114237130A (en) * | 2021-12-27 | 2022-03-25 | 东风悦享科技有限公司 | One-key taxi calling system and method based on Sharing-VAN automatic driving |
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