CN111309005A - Dynamic route planning method based on unmanned vehicle - Google Patents
Dynamic route planning method based on unmanned vehicle Download PDFInfo
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Abstract
The invention provides a dynamic route planning method based on an unmanned vehicle, belongs to the relevant technical field of unmanned driving, and solves the problems that the unmanned vehicle cannot monitor the driving route congestion condition in real time and cannot dynamically plan the driving route in real time. The dynamic route planning method based on the unmanned vehicle comprises a dynamic route planning system established on the basis of an intelligent coupling assistance system of the unmanned vehicle, wherein the dynamic route planning system comprises a dynamic route planning unit, a driving state judging unit, a real-time route monitoring unit, a member judging unit, a manual driving judging unit, an automatic driving unit, a real-time road condition monitoring unit and a member online group unit; the unmanned vehicle intelligent-connection assisting system comprises unmanned equipment, a cloud server and an assisting platform which are connected to a wireless network, and the method can monitor the driving route congestion situation in real time and dynamically plan the driving route in real time so as to bypass the traffic jam road section.
Description
Technical Field
The invention belongs to the technical field of unmanned driving, relates to an unmanned vehicle auxiliary platform, and particularly relates to a dynamic route planning method based on an unmanned vehicle.
Background
With the development of science and technology and the progress of society, the unmanned vehicle also enters a rapid development stage, and various functions are complete. The unmanned vehicle belongs to an intelligent vehicle, and is mainly characterized in that each structure in the vehicle is accurately controlled, calculated and analyzed by a computer system and an intelligent driver in the vehicle, and different devices on the unmanned vehicle are controlled by control instructions, so that the full-automatic operation of the vehicle is realized, and the purpose of unmanned driving of the vehicle is achieved.
Chinese patent literature discloses an intelligent cooperation assistance system for unmanned vehicles [ application number: CN 201811586771.8; publication No.: CN109800958A, comprising a drone, a cloud server and an assistance platform connected to a wireless network, wherein the drone is wirelessly connected to the cloud server and the assistance platform, and after the assistance platform detects that the drone stops driving, the real-time information of the unmanned equipment can be obtained through the cloud server, the assisting task is formulated, then the position coordinate of the unmanned equipment is taken as a positioning center, the assisting members with experience ability nearby are searched and matched according to the type of the accident case, the assisting members push the information content of the assisting task to arrive at the scene according to the system, the assisting members are enabled to eliminate the accident case generated by the unmanned equipment, after the unmanned vehicle driven by air-ride has emergencies such as unexpected road condition obstruction, unexpected collision, automobile failure and the like on the way, the assisting system can find out the corresponding professional assisting member to intervene in the assisting system, and can greatly reduce the processing time of the accident while giving consideration to the multi-party benefits.
The intelligent-connection assisting system of the unmanned vehicle also needs a convenient and efficient route planning function, the existing navigation mode is that a user sets a navigation instruction to enable the unmanned vehicle to go to a destination to complete a task, navigation can only be carried out to the current position of the user, the jam condition of a driving route cannot be judged in real time according to the driving route of the unmanned vehicle, and the optimal driving route is dynamically planned in real time.
Meanwhile, the existing navigation mode is single, a member online group unit is lacked, a user can not establish a group chat group online, each member can conveniently share real-time road condition information in real time, whether the member switches the route or not is judged, the communication is more humanized, the selection is more diversified, and the travel pleasure of passengers of unmanned vehicles can be increased.
Disclosure of Invention
The invention aims to provide a dynamic route planning method based on an unmanned vehicle aiming at the problems in the prior art, and the device aims to solve the technical problems that: how to monitor the congestion condition of a driving route in real time and dynamically plan a driving route in real time.
The purpose of the invention can be realized by the following technical scheme:
a dynamic route planning method based on an unmanned vehicle comprises a dynamic route planning system established on the basis of an intelligent coupling assistance system of the unmanned vehicle, wherein the dynamic route planning system comprises a dynamic route planning unit, a driving state judging unit, a real-time route monitoring unit, a member judging unit, a manual driving judging unit, an automatic driving unit, a real-time road condition monitoring unit and a member online group unit; the intelligent-connection assisting system for the unmanned vehicle comprises unmanned equipment, a cloud server and an assisting platform which are connected to a wireless network, wherein a dynamic route planning unit comprises a route mode module and a target terminal point, the route mode module is inquired and selected according to the target terminal point, a real-time route monitoring unit comprises a road condition detection module and an analysis scheme module, the road condition detection module detects road conditions, if the front route is jammed, the analysis scheme module analyzes and provides the road conditions for passengers, a member judgment unit is used for judging and selecting a solution and a manual driving option, the manual driving judgment unit verifies member information and judges whether manual driving can be carried out or not, an automatic driving unit is used for automatically controlling driving the vehicle, the real-time road condition monitoring unit comprises a lens camera module and a road condition judgment module, and the lens camera module is installed on the outer side of the vehicle, the road condition judging module judges whether to manually drive and change a route according to the road condition monitored in real time, the member on-line group unit comprises an on-line group module and a map display module, the on-line group module can inform members on the line whether to establish a temporary conversation group or join the temporary conversation group, and the map display module can display the positions of the members joining the temporary conversation group on a navigation map.
The unmanned equipment comprises an unmanned vehicle, and an alarm device, a camera device, a communication device, a positioning navigation device and a data acquisition device which are arranged on the unmanned vehicle; the cloud server comprises a central server for bearing an assistance platform, and a cloud database and a local database which are connected with the central server; the assistance platform comprises an administrator module, a system customer service module, an assistance member module and a task module; the administrator module is used for maintaining and upgrading a daily system, managing membership authority of the system, content information stored in a cloud database and a local database, and monitoring receiving and sending task requests among the modules in real time; the system customer service module performs manual auditing except system assistance on unmanned equipment of the accident case, and customer service consultation except system automatic member real-name identity information auditing; the assistant member module is used for managing assistant members which are individuals made of natural persons, recording personal information of the assistant members, storing the personal information in the cloud database and the local database, and receiving customer service requests of the assistant members; the task module formulates an assistance task according to the task request sent by the administrator module, takes the geographic coordinates of the accident vehicle as a positioning point and an accident category, screens and matches assistance members with corresponding task identities nearby to publish assistance task information to the assistance members, guides the assistance members to arrive at an accident scene, and handles accident cases generated by unmanned equipment.
The route mode module comprises a shortest driving time mode, a shortest driving distance mode, a high-speed priority mode, a non-high-speed mode and a system recommendation mode and is used for meeting different driving requirements.
The road condition detection module judges the relevant information of the road condition according to the information of the system platform, such as: the distance to the congested road segment, the time of predicted congestion road segment dredging, the time of predicted arrival at the congested road segment, and the predicted arrival destination delay time.
The member judgment unit further comprises options of driving according to the original route, parking nearby and changing the route.
The steps of parking nearby are as follows:
step one, selecting a nearby parking option;
step two, searching the positions of nearby parking places, and planning and displaying a plurality of nearby parking spaces or parking lots by a system;
step three, selecting a parking space or parking lot in the step two;
step four, the vehicle automatically drives to a parking space or parking lot selected in the step three;
and step five, reminding route dredging information in real time.
The use steps of the manual driving judgment unit are as follows:
step one, selecting a manual driving option;
step two, the member confirms to send out the application;
thirdly, the system checks the member information and judges whether the member meets the driving condition;
step four, the manual driving mode is started when the driving condition is met, and the main interface is returned when the driving condition is not met;
step five, meeting the requirement of step four, reporting the route information in real time after the manual driving mode is started.
The road condition real-time monitoring unit comprises the following steps:
after a vehicle is started, a lens camera module and a road condition judgment module are started;
step two, the lens camera module monitors the road surface condition in real time and collects the road surface condition information;
step three, the lens camera module inputs information into a road condition judgment module;
step four, the road condition judging module judges whether the road condition is normal or not according to the information in the step three;
step five, selecting whether to enter manual driving or not when the road condition is normal, the vehicle runs according to the planned route and the road condition is abnormal;
and step six, if manual driving is selected, entering a manual driving judgment unit, and if manual driving is not selected, entering a dynamic route planning unit.
The using steps of the membership online group unit are as follows:
step one, after a member confirms a route, a system platform automatically searches the positions of other members on the route;
step two, the system platform informs the number of the members on the line whether to establish a temporary session group, and whether the members are willing to join the temporary session group after establishing the temporary session group or establishing the temporary session group;
step three, displaying the positions of the members joining the temporary conversation group on a navigation map;
step four, the members of the temporary conversation group can carry out conversation and share road condition information, and the members judge whether to switch routes or not;
and step five, reaching the destination and selecting to reserve or dismiss or transfer the temporary conversation group.
The temporary session group comprises a group chat function module, a position sharing function module, a team forming function module, a friend application function module and a private letter function module, and the group chat function module can perform text and picture communication, voice communication and video communication functions. The member judges whether to switch the route, and simultaneously, the communication is more humanized, and the travel pleasure is increased.
Compared with the prior art, the dynamic route planning method based on the unmanned vehicle has the following advantages:
the invention provides a dynamic route planning method based on an unmanned vehicle, which enables members of the unmanned vehicle in a driving state to dynamically plan a route, a cloud server can detect whether the front route is jammed according to information acquired, analyzed and processed by a background, and provides monitoring results and an analyzed scheme for the members in a bus, and assists the members to automatically select a solution, so that the members can bypass the jammed road section, the time on the way is saved, the efficiency is improved, an assistance platform can perform manual customer service, guide the assistance members and process related matters; the road condition real-time monitoring unit is adopted to monitor the road condition in real time, avoid entering a large pit or a complex road section, and judge whether to drive manually or not and whether to change a route; the member online group unit is adopted to inform whether a temporary conversation group is established or not or whether the temporary conversation group is added or not, the positions of members who are added to the temporary conversation group are displayed on a navigation map, and the members judge whether to switch routes or not according to the sharing real-time road condition information of other members.
Drawings
FIG. 1 is a control flow block diagram of the present invention.
FIG. 2 is a schematic composition of the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
Referring to fig. 1-2, the present embodiment provides a dynamic route planning method based on an unmanned vehicle, including a dynamic route planning system based on an intelligent-link assistance system of the unmanned vehicle, where the dynamic route planning system includes a dynamic route planning unit, a driving state judging unit, a real-time route monitoring unit, a member judging unit, a manual driving judging unit, an automatic driving unit, a real-time road condition monitoring unit, and an on-line member group unit; the intelligent-connection assisting system for the unmanned vehicle comprises unmanned equipment, a cloud server and an assisting platform which are connected to a wireless network, wherein a dynamic route planning unit comprises a route mode module and a target terminal point, the route mode module is inquired and selected according to the target terminal point, a real-time route monitoring unit comprises a road condition detection module and an analysis scheme module, the road condition detection module detects road conditions, if the front route is jammed, the analysis scheme module analyzes and provides the road conditions for passengers, a member judgment unit is used for judging and selecting a solution and a manual driving option, the manual driving judgment unit verifies member information and judges whether manual driving can be carried out or not, an automatic driving unit is used for automatically controlling driving the vehicle, the real-time road condition monitoring unit comprises a lens camera module and a road condition judgment module, and the lens camera module is installed on the outer side of the vehicle, the road condition judging module judges whether to manually drive and change a route according to the road condition monitored in real time, the member on-line group unit comprises an on-line group module and a map display module, the on-line group module can inform members on the line whether to establish a temporary conversation group or join the temporary conversation group, and the map display module can display the positions of the members joining the temporary conversation group on a navigation map.
The unmanned equipment comprises an unmanned vehicle, and an alarm device, a camera device, a communication device, a positioning navigation device and a data acquisition device which are arranged on the unmanned vehicle; the cloud server comprises a central server for bearing an assistance platform, and a cloud database and a local database which are connected with the central server; the assistance platform comprises an administrator module, a system customer service module, an assistance member module and a task module; the administrator module is used for maintaining and upgrading a daily system, managing membership authority of the system, content information stored in a cloud database and a local database, and monitoring receiving and sending task requests among the modules in real time; the system customer service module performs manual auditing except system assistance on unmanned equipment of the accident case, and customer service consultation except system automatic member real-name identity information auditing; the assistant member module is used for managing assistant members which are individuals made of natural persons, recording personal information of the assistant members, storing the personal information in the cloud database and the local database, and receiving customer service requests of the assistant members; the task module formulates an assistance task according to the task request sent by the administrator module, takes the geographic coordinates of the accident vehicle as a positioning point and an accident category, screens and matches assistance members with corresponding task identities nearby to publish assistance task information to the assistance members, guides the assistance members to arrive at an accident scene, and handles accident cases generated by unmanned equipment.
The route mode module comprises a shortest driving time mode, a shortest driving distance mode, a high-speed priority mode, a non-high-speed mode and a system recommendation mode and is used for meeting different driving requirements.
The road condition detection module judges the relevant information of the road condition according to the information of the system platform, such as: the distance to the congested road segment, the time of predicted congestion road segment dredging, the time of predicted arrival at the congested road segment, and the predicted arrival destination delay time.
The member judgment unit further comprises options of driving according to the original route, parking nearby and changing the route.
The steps of parking nearby are as follows:
step one, selecting a nearby parking option;
step two, searching the positions of nearby parking places, and planning and displaying a plurality of nearby parking spaces or parking lots by a system;
step three, selecting a parking space or parking lot in the step two;
step four, the vehicle automatically drives to a parking space or parking lot selected in the step three;
and step five, reminding route dredging information in real time.
The use steps of the manual driving judgment unit are as follows:
step one, selecting a manual driving option;
step two, the member confirms to send out the application;
thirdly, the system checks the member information and judges whether the member meets the driving condition;
step four, the manual driving mode is started when the driving condition is met, and the main interface is returned when the driving condition is not met;
step five, meeting the requirement of step four, reporting the route information in real time after the manual driving mode is started.
The road condition real-time monitoring unit comprises the following steps:
after a vehicle is started, a lens camera module and a road condition judgment module are started;
step two, the lens camera module monitors the road surface condition in real time and collects the road surface condition information;
step three, the lens camera module inputs information into a road condition judgment module;
step four, the road condition judging module judges whether the road condition is normal or not according to the information in the step three;
step five, selecting whether to enter manual driving or not when the road condition is normal, the vehicle runs according to the planned route and the road condition is abnormal;
and step six, if manual driving is selected, entering a manual driving judgment unit, and if manual driving is not selected, entering a dynamic route planning unit.
The using steps of the membership online group unit are as follows:
step one, after a member confirms a route, a system platform automatically searches the positions of other members on the route;
step two, the system platform informs the number of the members on the line whether to establish a temporary session group, and whether the members are willing to join the temporary session group after establishing the temporary session group or establishing the temporary session group;
step three, displaying the positions of the members joining the temporary conversation group on a navigation map;
step four, the members of the temporary conversation group can carry out conversation and share road condition information, and the members judge whether to switch routes or not;
and step five, reaching the destination, and selecting to reserve or dismiss or transfer or quit the temporary conversation group.
The temporary session group comprises a group chat function module, a position sharing function module, a team forming function module, a friend application function module and a private letter function module, and the group chat function module can perform text and picture communication, voice communication and video communication functions. The member judges whether to switch the route, and simultaneously, the communication is more humanized, and the travel pleasure is increased.
The embodiment provides a dynamic route planning method based on an unmanned vehicle, which preferably comprises the following steps:
and S1, the member logs in the system, and the system confirms the member identity.
S2, filling in the starting and ending positions.
And S3, the dynamic route planning unit plans the route and selects a shortest driving time mode, a shortest driving distance mode, a high-speed priority mode, a non-high-speed mode and a system recommendation mode.
And S4, the member selects any mode of the S3 according to the self requirement.
And S5, the road condition detection module of the real-time route monitoring unit detects whether the route is jammed, the analysis scheme module analyzes and provides the jam for the riding members, the members confirm the route again, the automatic driving unit starts, and the unmanned vehicle runs according to the route.
And S6, the road condition detection module of the real-time route monitoring unit monitors the traffic condition of the route in real time, and if congestion occurs, relevant information such as the distance from the congested road section, the predicted time for dredging the congested road section, the predicted time for arriving at the congested road section and the predicted delay time for arriving at a destination is sent to a member, and then the member enters the member judgment unit.
S7, judging whether to replace the route by a member, selecting not to replace the route, and driving the unmanned vehicle according to the originally planned route; a replacement route is selected, and a dynamic route planning unit (S3), a manual driving option (S8), or a nearby parking option (S9) is further selected.
S8, manual driving option:
step one, selecting a manual driving option;
step two, the member confirms to send out the application;
thirdly, the system checks the member information and judges whether the member meets the driving condition;
step four, the manual driving mode is started when the driving condition is met, and the main interface is returned when the driving condition is not met;
step five, meeting the requirement of step four, reporting the route information in real time after the manual driving mode is started.
S9, option of parking nearby:
step one, selecting a nearby parking option;
step two, searching the positions of nearby parking places, and planning and displaying a plurality of nearby parking spaces or parking lots by a system;
step three, selecting a parking space or parking lot in the step two;
step four, the vehicle automatically drives to a parking space or parking lot selected in the step three;
and step five, reminding route dredging information in real time.
And S10, starting the road condition real-time monitoring unit and the member on-line group unit at the same time of S5.
S11, after the road condition real-time monitoring unit is started:
after a vehicle is started, a lens camera module and a road condition judgment module are started;
step two, the lens camera module monitors the road surface condition in real time and collects the road surface condition information;
step three, the lens camera module inputs information into a road condition judgment module;
step four, the road condition judging module judges whether the road condition is normal or not according to the information in the step three;
step five, selecting whether to enter manual driving or not when the road condition is normal, the vehicle runs according to the planned route and the road condition is abnormal;
and step six, if manual driving is selected, entering a manual driving judging unit, and if manual driving is not selected, entering a dynamic route planning unit (S3).
S12, after the member on-line group unit is started:
step one, after a member confirms a route, a system platform automatically searches the positions of other members on the route;
step two, the system platform informs the number of the members on the line whether to establish a temporary session group, and whether the members are willing to join the temporary session group after establishing the temporary session group or establishing the temporary session group;
step three, displaying the positions of the members joining the temporary conversation group on a navigation map;
step four, the members of the temporary conversation group can carry out conversation and share road condition information, and the members judge whether to switch routes or not and enter a member judging unit (S7);
and step five, reaching the destination, and selecting to reserve or dismiss or transfer or quit the temporary conversation group.
In conclusion, the invention provides a dynamic route planning method based on an unmanned vehicle, so that an unmanned vehicle member in a driving state can dynamically plan a route, a cloud server can detect whether a front route is congested or not according to information collected, analyzed and processed by a background, and provides a monitoring result and an analyzed scheme for a riding member, and an assistant member can automatically select a solution so as to bypass a traffic jam road section, save the time on the way, improve the efficiency, and an assistant platform can perform manual customer service, guide the assistant member and process related matters; the road condition real-time monitoring unit is adopted to monitor the road condition in real time, avoid entering a large pit or a complex road section, and judge whether to drive manually or not and whether to change a route; the member online group unit is adopted to inform whether a temporary conversation group is established or not or whether the temporary conversation group is added or not, the positions of members who are added to the temporary conversation group are displayed on a navigation map, and the members judge whether to switch routes or not according to the sharing real-time road condition information of other members.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.
Claims (10)
1. A dynamic route planning method based on an unmanned vehicle comprises a dynamic route planning system established on the basis of an intelligent coupling assistance system of the unmanned vehicle, and is characterized in that the dynamic route planning system comprises a dynamic route planning unit, a driving state judging unit, a real-time route monitoring unit, a member judging unit, a manual driving judging unit, an automatic driving unit, a real-time road condition monitoring unit and a member online group unit; the intelligent-connection assisting system for the unmanned vehicle comprises unmanned equipment, a cloud server and an assisting platform which are connected to a wireless network, wherein a dynamic route planning unit comprises a route mode module and a target terminal point, the route mode module is inquired and selected according to the target terminal point, a real-time route monitoring unit comprises a road condition detection module and an analysis scheme module, the road condition detection module detects road conditions, if the front route is jammed, the analysis scheme module analyzes and provides the road conditions for passengers, a member judgment unit is used for judging and selecting a solution and a manual driving option, the manual driving judgment unit verifies member information and judges whether manual driving can be carried out or not, an automatic driving unit is used for automatically controlling driving the vehicle, the real-time road condition monitoring unit comprises a lens camera module and a road condition judgment module, and the lens camera module is installed on the outer side of the vehicle, the road condition judging module judges whether to manually drive and change a route according to the road condition monitored in real time, the member on-line group unit comprises an on-line group module and a map display module, the on-line group module can inform members on the line whether to establish a temporary conversation group or join the temporary conversation group, and the map display module can display the positions of the members joining the temporary conversation group on a navigation map.
2. The unmanned vehicle-based dynamic route planning method according to claim 1, wherein the unmanned equipment comprises an unmanned vehicle, and a warning device, a camera device, a communication device, a positioning navigation device and a data acquisition device which are installed on the unmanned vehicle; the cloud server comprises a central server for bearing an assistance platform, and a cloud database and a local database which are connected with the central server; the assistance platform comprises an administrator module, a system customer service module, an assistance member module and a task module; the administrator module is used for maintaining and upgrading a daily system, managing membership authority of the system, content information stored in a cloud database and a local database, and monitoring receiving and sending task requests among the modules in real time; the system customer service module performs manual auditing except system assistance on unmanned equipment of the accident case, and customer service consultation except system automatic member real-name identity information auditing; the assistant member module is used for managing assistant members which are individuals made of natural persons, recording personal information of the assistant members, storing the personal information in the cloud database and the local database, and receiving customer service requests of the assistant members; the task module formulates an assistance task according to the task request sent by the administrator module, takes the geographic coordinates of the accident vehicle as a positioning point and an accident category, screens and matches assistance members with corresponding task identities nearby to publish assistance task information to the assistance members, guides the assistance members to arrive at an accident scene, and handles accident cases generated by unmanned equipment.
3. The method of claim 1, wherein the route mode module comprises a shortest time to travel mode, a shortest distance to travel mode, a high speed priority mode, a non-high speed mode and a system recommendation mode to meet different travel requirements.
4. The method of claim 1, wherein the road condition detection module determines the relevant information of the road condition according to the system platform information, such as: the distance to the congested road segment, the time of predicted congestion road segment dredging, the time of predicted arrival at the congested road segment, and the predicted arrival destination delay time.
5. The method of claim 1, wherein the member judgment unit further comprises options of driving, parking nearby and changing routes according to an original route.
6. The method of claim 5, wherein the step of stopping the vehicle nearby is as follows:
step one, selecting a nearby parking option;
step two, searching the positions of nearby parking places, and planning and displaying a plurality of nearby parking spaces or parking lots by a system;
step three, selecting a parking space or parking lot in the step two;
step four, the vehicle automatically drives to a parking space or parking lot selected in the step three;
and step five, reminding route dredging information in real time.
7. The method of claim 1, wherein the step of using the manual driving determination unit is as follows:
step one, selecting a manual driving option;
step two, the member confirms to send out the application;
thirdly, the system checks the member information and judges whether the member meets the driving condition;
step four, the manual driving mode is started when the driving condition is met, and the main interface is returned when the driving condition is not met;
step five, meeting the requirement of step four, reporting the route information in real time after the manual driving mode is started.
8. The method as claimed in claim 1, wherein the real-time traffic monitoring unit is used in the following steps:
after a vehicle is started, a lens camera module and a road condition judgment module are started;
step two, the lens camera module monitors the road surface condition in real time and collects the road surface condition information;
step three, the lens camera module inputs information into a road condition judgment module;
step four, the road condition judging module judges whether the road condition is normal or not according to the information in the step three;
step five, selecting whether to enter manual driving or not when the road condition is normal, the vehicle runs according to the planned route and the road condition is abnormal;
and step six, if manual driving is selected, entering a manual driving judgment unit, and if manual driving is not selected, entering a dynamic route planning unit.
9. The method of claim 1, wherein the using of the membership online group unit comprises:
step one, after a member confirms a route, a system platform automatically searches the positions of other members on the route;
step two, the online group module informs the number of the members on the line whether to establish a temporary session group, and whether the members are willing to join the temporary session group after establishing the temporary session group or establishing the temporary session group;
step three, the map display module displays the positions of the members joining the temporary conversation group on a navigation map;
step four, the members of the temporary conversation group can carry out conversation and share road condition information, and the members judge whether to switch routes or not;
and step five, reaching the destination and selecting to reserve or dismiss or transfer the temporary conversation group.
10. The unmanned vehicle-based dynamic route planning method of claim 9, wherein the temporary session group comprises a group chat function module, a location sharing function module, a team formation function module, a friend application function module and a private message function module, and the group chat function module can perform text and picture communication, voice communication and video communication functions.
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