CN112785831A - Self-adaptive AI route selection scheduling method - Google Patents
Self-adaptive AI route selection scheduling method Download PDFInfo
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- CN112785831A CN112785831A CN202011388133.2A CN202011388133A CN112785831A CN 112785831 A CN112785831 A CN 112785831A CN 202011388133 A CN202011388133 A CN 202011388133A CN 112785831 A CN112785831 A CN 112785831A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
- G08G1/096816—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the complete route is transmitted to the vehicle at once
Abstract
The invention discloses a self-adaptive AI route selection scheduling method, which relates to the field of vehicle scheduling and comprises the following steps: the taxi information module is used for summarizing taxi information including driver information, communication information, vehicle safety information, route information, passenger information, emergency information and the like; and the route guide module is used for guiding the route of the driver and providing the reasonable analysis result and the selection of the driver for recording and analysis. According to the invention, through the arrangement of the passenger observation recording module, the vehicle-outside camera recording module, the vehicle-inside display module, the driver recording module, the passenger reporting module and the system distribution module, the purpose that the vehicle-outside camera can shoot and record passengers which are not carried is realized, the passengers are uploaded to the master control room, the master control room distributes the passengers to nearby vehicles, the nearby vehicles carry the passengers, and the passengers are recorded in the driving process of the vehicles, so that the number of target passengers is large, nearby taxis are scheduled to a certain extent, and the waiting time of the passengers is shortened.
Description
Technical Field
The invention relates to the field of vehicle scheduling, in particular to a self-adaptive AI route selection scheduling method.
Background
The self-adaptation is a process of automatically adjusting a processing method, a processing sequence, processing parameters, boundary conditions or constraint conditions according to data characteristics of processing data in the processing and analyzing processes so as to adapt to statistical distribution characteristics and structural characteristics of the processed data, thereby obtaining the optimal processing effect.
The existing taxi carries passengers to go out, rarely communicates with a master control room, drivers know the local jam in a city by means of mobile phone communication, and the local passenger sources are more, but the mode of acquiring information is unreliable, a certain time difference also exists, the condition of vehicle jam in the city is not relieved, the existing taxi carries passengers possibly to encounter emergency, the master control room does not communicate well with the drivers in case of emergency, and a good processing mode does not exist, so that the taxi passenger carrying system is blank in a taxi going-out system.
Disclosure of Invention
The invention aims to: in order to solve the problems that when an existing taxi carries passengers to go out, communication with a master control room is seldom achieved, drivers know which place in a city is congested and which place has more passenger sources by means of mobile phone communication, but the information obtaining mode is not reliable, a certain time difference exists, the congestion situation of the vehicles in the city is not relieved, the existing taxi carries passengers possibly to meet an emergency situation, the master control room does not well communicate with the drivers in the emergency situation, a good processing mode does not exist, and the taxi passenger carrying system is blank in a taxi going-out system, and a self-adaptive AI route selection scheduling method is provided.
In order to achieve the purpose, the invention provides the following technical scheme: an adaptive AI routing scheduling method, comprising:
the taxi information module is used for summarizing taxi information including driver information, communication information, vehicle safety information, route information, passenger information, emergency information and the like;
the route guide module is used for guiding the route of the driver and providing a reasonable analysis result and the selection of the driver for recording and analysis;
the passenger observing and recording module is used for observing and recording the passenger losing and falling conditions after the taxi carries passengers;
the passenger reporting module is used for reporting the information of the passenger missing and falling;
the emergency module is used for collecting, analyzing and processing information of emergency conditions in the vehicle;
the GPS vehicle monitoring module is used for monitoring all taxi information in the city, including taxi information, moving paths and passenger carrying conditions;
the central processor module is used for summarizing taxi information, analyzing and processing reported conditions and issuing commands;
the emergency command issuing module is used for carrying out emergency treatment on emergency situations occurring in the taxis, and comprises informing all nearby taxis, contacting traffic broadcasting and the like;
and the dispatching module is used for carrying out proper dispatching on the existing taxies.
Preferably, the output end of the taxi information module is electrically connected with a driver information module, a vehicle communication module, a vehicle comprehensive safety information module, a route guidance module, a passenger observation recording module, a passenger reporting module and an emergency module, and the driver information module, the vehicle communication module, the vehicle comprehensive safety information module, the route guidance module, the passenger observation recording module, the passenger reporting module and the emergency module are all in bidirectional electrical connection with the taxi information module.
Preferably, the output end of the vehicle comprehensive safety information module is electrically connected with an accident loss recording module, the output end of the passenger observation recording module is electrically connected with an outside-vehicle camera recording module, an inside-vehicle display module and a driver recording module, the outside-vehicle camera recording module is electrically connected with the inside-vehicle display module, and the output end of the passenger reporting module is electrically connected with a system distribution module.
Preferably, the output end of the route guidance module is electrically connected with the navigation module, the path analysis module, the three-dimensional map display module, the voice broadcast module, the road condition analysis suggestion module and the driver route selection recording module, and the navigation module, the path analysis module, the three-dimensional map display module, the voice broadcast module, the road condition analysis suggestion module and the driver route selection recording module are all in bidirectional electrical connection with the route guidance module.
Preferably, the output end of the three-dimensional map display module is electrically connected with a current road condition module, a road condition module in a route and a destination road condition module, the output end of the driver route selection recording module is electrically connected with a case analysis module, and the output end of the case analysis module is electrically connected with an adaptive algorithm module.
Preferably, the output electric connection of emergency module has vehicle violation record module, follows the car distance module, follows car speed module, overspeed warning module in the car, and vehicle violation record module, follows car distance module, follows car speed module, overspeed warning module in the car all be two-way electric connection with emergency module, the output of vehicle violation record module, with car distance module, with car speed module, overspeed warning module in the car all has data analysis driver intention module, and the output of data analysis driver intention module all electric connection has emergency module and non-emergency module, the output of emergency module all electric connection has the master control room to notify the module.
Preferably, taxi information module's output electric connection has GPS vehicle monitoring module, and GPS vehicle monitoring module is two-way electric connection with taxi information module, GPS vehicle monitoring module's output is connected with central processor module, and central processor module and GPS vehicle monitoring module are two-way electric connection, central processor module's output electric connection has storage module, emergency command to assign module and dispatch module, and storage module, emergency command assign module and dispatch module all are two-way electric connection with central processor module.
Preferably, the output end of the scheduling module is electrically connected with an electronic driving map module, a communication module, a passenger information receiving module, a passenger information analyzing module and a passenger information releasing module, and the electronic driving map module, the communication module, the passenger information receiving module, the passenger information analyzing module and the passenger information releasing module are all electrically connected with the scheduling module in a bidirectional mode.
Preferably, the method comprises the following steps:
the method comprises the following steps: in the running process of a taxi, an external camera recording module shoots external passengers waiting for the taxi, if the taxi does not carry passengers at the moment, the passengers can be observed through an in-car display module and then carried, if the taxi carries passengers at the moment, the passengers can be directly reported after being displayed by the in-car display module, if the taxi is determined by a driver after being displayed by the module at present, the information can also be reported, and the reported information can indicate that the passengers are confirmed and can be processed in advance compared with the information which is not confirmed;
step two: the central processor module analyzes and processes the information after receiving the information of the passengers who lose or fall, wherein the information comprises the sent passenger pictures, whether the information is confirmed by a driver or not and the places where the passengers are located;
step three: in the driving process of the vehicle, a route guiding module guides the vehicle according to an input destination, the guiding comprises normal navigation and route analysis, the route to the destination is displayed in front of a driver in a three-dimensional map display mode, the vehicle is placed in a three-dimensional model to simulate driving, road conditions in the route and road conditions of the destination are simulated according to data obtained by a navigation module, the possible traffic jam waiting time and the vehicle quantity are simulated together, then voice broadcasting is carried out according to the data, and appropriate suggestions are given, such as changing the route and the like;
step four: the driver probably meets emergency in the driving process, for example, passenger's accident, need urgent going to hospital etc. the information such as vehicle violation condition, with the car distance, with car speed, the overspeed warning in the car can be carried out the analysis to emergent module, then judge driver's intention, when judging the structure really is the emergency module, so direct transmission information gives the master-control room, the master-control room contacts with the driver and confirms the condition, then give emergency command by the master-control room, including but not limited to near all taxis, contact traffic broadcasting, connect the hospital.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the passenger observing and recording module, the vehicle-mounted camera recording module, the vehicle-mounted display module, the driver recording module, the passenger reporting module and the system distribution module, the vehicle-mounted camera can shoot and record passengers which are not mounted, the passengers are uploaded to the master control room, the passengers are distributed to nearby vehicles by the master control room, the nearby vehicles are mounted and record in the driving process of the vehicles, the number of target passengers is large, nearby taxis are scheduled to a certain extent, and the waiting time of the passengers is shortened;
2. according to the invention, through the arrangement of the emergency module, the vehicle violation recording module, the vehicle following distance module, the vehicle following speed module, the in-vehicle overspeed warning module, the data analysis driver intention module, the emergency condition module and the master control room notification module, whether the emergency condition is met or not is analyzed according to the vehicle violation condition, the vehicle following distance, the vehicle following speed and the overspeed condition when the driver meets the emergency condition, if the emergency condition is met, the master control room is directly contacted with the driver, and after the specific condition is obtained, the master control room is contacted with surrounding vehicles, traffic police, broadcasts and the like, so that convenience is provided for driving of the taxi, the accident probability is reduced, and the emergency condition road congestion is prevented from delaying rescue opportunity and the like.
Drawings
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a flow diagram of a route guidance module of the present invention;
FIG. 3 is a flow chart of an emergency module of 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. The following describes an embodiment of the present invention based on its overall structure.
Referring to fig. 1-3, an adaptive AI route selection scheduling method includes:
the taxi information module is used for summarizing taxi information including driver information, communication information, vehicle safety information, route information, passenger information, emergency information and the like;
the route guide module is used for guiding the route of the driver and providing a reasonable analysis result and the selection of the driver for recording and analysis;
the passenger observing and recording module is used for observing and recording the passenger losing and falling conditions after the taxi carries passengers;
the passenger reporting module is used for reporting the information of the passenger missing and falling;
the emergency module is used for collecting, analyzing and processing information of emergency conditions in the vehicle;
the GPS vehicle monitoring module is used for monitoring all taxi information in the city, including taxi information, moving paths and passenger carrying conditions;
the central processor module is used for summarizing taxi information, analyzing and processing reported conditions and issuing commands;
the emergency command issuing module is used for carrying out emergency treatment on emergency situations occurring in the taxis, and comprises informing all nearby taxis, contacting traffic broadcasting and the like;
and the dispatching module is used for carrying out proper dispatching on the existing taxies.
According to the invention, through the arrangement of the passenger observation recording module, the vehicle-outside camera recording module, the vehicle-inside display module, the driver recording module, the passenger reporting module and the system distribution module, the purpose that the vehicle-outside camera can shoot and record passengers which are not carried is realized, the passengers are uploaded to the master control room, the master control room distributes the passengers to nearby vehicles, the nearby vehicles carry the passengers, and the passengers are recorded in the driving process of the vehicles, so that the number of target passengers is large, nearby taxis are scheduled to a certain extent, and the waiting time of the passengers is shortened.
Please refer to fig. 1, an output end of the taxi information module is electrically connected to a driver information module, a vehicle communication module, a vehicle integrated safety information module, a route guidance module, a passenger observation recording module, a passenger reporting module, and an emergency module, and the driver information module, the vehicle communication module, the vehicle integrated safety information module, the route guidance module, the passenger observation recording module, the passenger reporting module, and the emergency module are all electrically connected to the taxi information module in a bidirectional manner.
In the invention, a communication module used for communicating with the master control room can be installed in the taxi, and the successful pick-up at the later stage is also replied through the communication module, and the master control room can be contacted with each taxi without permission.
Please refer to fig. 1, the output end of the vehicle integrated safety information module is electrically connected to the accident loss recording module, the output end of the passenger observing and recording module is electrically connected to the vehicle exterior camera recording module, the vehicle interior display module and the driver recording module, the vehicle exterior camera recording module is electrically connected to the vehicle interior display module, and the output end of the passenger reporting module is electrically connected to the system distribution module.
In the invention, a reward and punishment system can be additionally arranged, information confirmed by a driver is recorded, and then the driver is given certain reward according to the record and the later pick-up condition.
Please refer to fig. 2, the output end of the route guidance module is electrically connected to the navigation module, the route analysis module, the three-dimensional map display module, the voice broadcast module, the road condition analysis suggestion module, and the driver route selection recording module, and the navigation module, the route analysis module, the three-dimensional map display module, the voice broadcast module, the road condition analysis suggestion module, and the driver route selection recording module are all electrically connected to the route guidance module in a bidirectional manner.
According to the invention, the navigation module, the path analysis module, the three-dimensional map display module, the voice broadcast module and the road condition analysis suggestion module can achieve the scheduling purpose to a certain extent, if vehicles are jammed at a certain time or place, the mind of a driver for changing a route is accelerated through displaying by a clearer three-dimensional model, and the condition that a road section is jammed is avoided.
Please refer to fig. 2, an output end of the three-dimensional map display module is electrically connected to the current road condition module, the road condition module in the route, and the destination road condition module, an output end of the driver route selection recording module is electrically connected to the case analysis module, and an output end of the case analysis module is electrically connected to the adaptive algorithm module.
In the case analysis, the case analysis is added, the driver does not listen to the analysis suggestion, but still selects the old route, so that the conditions of the total distance of the data for reference analysis, whether the road is repaired or not in the route and the like, the passenger flow in the route is small, or some marginal parameters can be analyzed.
Please refer to fig. 3, the output end of the emergency module is electrically connected to a vehicle violation recording module, a vehicle following distance module, a vehicle following speed module, and an in-vehicle overspeed warning module, and the vehicle violation recording module, the vehicle following distance module, the vehicle following speed module, and the in-vehicle overspeed warning module are both electrically connected to the emergency module in a bidirectional manner, the output ends of the vehicle violation recording module, the vehicle following distance module, the vehicle following speed module, and the in-vehicle overspeed warning module are all electrically connected to a data analysis driver intention module, and the output ends of the data analysis driver intention module are all electrically connected to an emergency module and a non-emergency module, and the output ends of the emergency module are all electrically connected to a main control room notification module.
According to the taxi emergency monitoring system, the emergency module, the vehicle violation recording module, the vehicle following distance module, the vehicle following speed module, the in-vehicle overspeed warning module, the data analysis driver intention module, the emergency condition module and the master control room notification module are arranged, so that whether the emergency condition is met or not is analyzed according to the vehicle violation condition, the vehicle following distance, the vehicle following speed and the overspeed condition when a driver meets the emergency condition, if the emergency condition is met, the master control room is directly contacted with the driver, after the specific condition is obtained, the master control room is contacted with surrounding vehicles, traffic police, broadcasts and the like, the taxi is convenient to run, the accident probability is reduced, and the emergency condition that road congestion delays rescue opportunity and the like is avoided.
Please refer to fig. 1, the output end of the taxi information module is electrically connected to the GPS vehicle monitoring module, the GPS vehicle monitoring module is electrically connected to the taxi information module in a bidirectional manner, the output end of the GPS vehicle monitoring module is connected to the central processor module, the central processor module is electrically connected to the GPS vehicle monitoring module in a bidirectional manner, the output end of the central processor module is electrically connected to the storage module, the emergency command issuing module and the scheduling module, and the storage module, the emergency command issuing module and the scheduling module are electrically connected to the central processor module in a bidirectional manner.
In the invention, the central processor module is a master control room module which is responsible for gathering, analyzing, receiving information, issuing commands, regulating and storing.
Please refer to fig. 1, an output end of the scheduling module is electrically connected to the electronic driving map module, the communication module, the passenger information receiving module, the passenger information analyzing module, and the passenger information delivering module, and the electronic driving map module, the communication module, the passenger information receiving module, the passenger information analyzing module, and the passenger information delivering module are all electrically connected to the scheduling module in a bidirectional manner.
In the invention, after the passenger information is released, corresponding vehicle replies are required, such as a receipt reply and a passenger reply.
Please refer to fig. 1, fig. 2 and fig. 3, which includes the following steps:
the method comprises the following steps: in the running process of a taxi, an external camera recording module shoots external passengers waiting for the taxi, if the taxi does not carry passengers at the moment, the passengers can be observed through an in-car display module and then carried, if the taxi carries passengers at the moment, the passengers can be directly reported after being displayed by the in-car display module, if the taxi is determined by a driver after being displayed by the module at present, the information can also be reported, and the reported information can indicate that the passengers are confirmed and can be processed in advance compared with the information which is not confirmed;
step two: the central processor module analyzes and processes the information after receiving the information of the passengers who lose or fall, wherein the information comprises the sent passenger pictures, whether the information is confirmed by a driver or not and the places where the passengers are located;
step three: in the driving process of the vehicle, a route guiding module guides the vehicle according to an input destination, the guiding comprises normal navigation and route analysis, the route to the destination is displayed in front of a driver in a three-dimensional map display mode, the vehicle is placed in a three-dimensional model to simulate driving, road conditions in the route and road conditions of the destination are simulated according to data obtained by a navigation module, the possible traffic jam waiting time and the vehicle quantity are simulated together, then voice broadcasting is carried out according to the data, and appropriate suggestions are given, such as changing the route and the like;
step four: the driver probably meets emergency in the driving process, for example, passenger's accident, need urgent going to hospital etc. the information such as vehicle violation condition, with the car distance, with car speed, the overspeed warning in the car can be carried out the analysis to emergent module, then judge driver's intention, when judging the structure really is the emergency module, so direct transmission information gives the master-control room, the master-control room contacts with the driver and confirms the condition, then give emergency command by the master-control room, including but not limited to near all taxis, contact traffic broadcasting, connect the hospital.
In the invention, the purpose of dispatching urban vehicles can be achieved only by matching the master control room with the taxi, the regulation and control of the master control room can be realized, the vehicle congestion condition in the city can be relieved, and the rescue can be applied more quickly in case of emergency.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. An adaptive AI routing scheduling method, comprising:
the taxi information module is used for summarizing taxi information including driver information, communication information, vehicle safety information, route information, passenger information, emergency information and the like;
the route guide module is used for guiding the route of the driver and providing a reasonable analysis result and the selection of the driver for recording and analysis;
the passenger observing and recording module is used for observing and recording the passenger losing and falling conditions after the taxi carries passengers;
the passenger reporting module is used for reporting the information of the passenger missing and falling;
the emergency module is used for collecting, analyzing and processing information of emergency conditions in the vehicle;
the GPS vehicle monitoring module is used for monitoring all taxi information in the city, including taxi information, moving paths and passenger carrying conditions;
the central processor module is used for summarizing taxi information, analyzing and processing reported conditions and issuing commands;
the emergency command issuing module is used for carrying out emergency treatment on emergency situations occurring in the taxis, and comprises informing all nearby taxis, contacting traffic broadcasting and the like;
and the dispatching module is used for carrying out proper dispatching on the existing taxies.
2. The adaptive AI route selection scheduling method of claim 1, wherein: the output end of the taxi information module is electrically connected with a driver information module, a vehicle communication module, a vehicle comprehensive safety information module, a route guiding module, a passenger observing and recording module, a passenger reporting module and an emergency module, and the driver information module, the vehicle communication module, the vehicle comprehensive safety information module, the route guiding module, the passenger observing and recording module, the passenger reporting module and the emergency module are all in bidirectional electrical connection with the taxi information module.
3. The adaptive AI route selection scheduling method of claim 2, wherein: the output electric connection of vehicle integrated safety information module has accident loss record module, the output electric connection that the passenger observed record module has outer camera record module, display module in the car, driver record module, and outer camera record module of car and display module electric connection in the car, the output electric connection that the passenger reported the module has system distribution module.
4. The adaptive AI route selection scheduling method of claim 1, wherein: the output end of the route guiding module is electrically connected with a navigation module, a path analysis module, a three-dimensional map display module, a voice broadcasting module, a road condition analysis and suggestion module and a driver path selection recording module, and the navigation module, the path analysis module, the three-dimensional map display module, the voice broadcasting module, the road condition analysis and suggestion module and the driver path selection recording module are all in bidirectional electrical connection with the route guiding module.
5. The adaptive AI routing scheduling method of claim 4, wherein: the output end of the three-dimensional map display module is electrically connected with a current road condition module, a road condition module in a path and a destination road condition module, the output end of the driver path selection recording module is electrically connected with a case analysis module, and the output end of the case analysis module is electrically connected with an adaptive algorithm module.
6. The adaptive AI route selection scheduling method of claim 1, wherein: the output electric connection of emergency module has vehicle violation record module, follows car distance module, follows car speed module, overspeed warning module in the car, and vehicle violation record module, with car distance module, with car speed module, overspeed warning module in the car all be two-way electric connection with emergency module, vehicle violation record module, with car distance module, with car speed module, overspeed warning module's in the car all electric connection have data analysis driver intention module, and the all electric connection of output of data analysis driver intention module has emergency module and non-emergency module, the all electric connection of output of emergency module has the master control room to notify the module.
7. The adaptive AI route selection scheduling method of claim 1, wherein: the taxi information module comprises a taxi information module, a central processor module, a GPS vehicle monitoring module, a central processor module, a dispatching module and a storage module, wherein the output end of the taxi information module is electrically connected with the GPS vehicle monitoring module, the GPS vehicle monitoring module and the taxi information module are electrically connected in a bidirectional mode, the output end of the GPS vehicle monitoring module is connected with the central processor module, the central processor module and the GPS vehicle monitoring module are electrically connected in a bidirectional mode, the output end of the central processor module is electrically connected with the storage module, the emergency command issuing module and the dispatching module, and the storage module, the emergency command issuing module and the.
8. The adaptive AI route selection scheduling method of claim 1, wherein: the output end of the scheduling module is electrically connected with an electronic driving map module, a communication module, a passenger information receiving module, a passenger information analyzing module and a passenger information releasing module, and the electronic driving map module, the communication module, the passenger information receiving module, the passenger information analyzing module and the passenger information releasing module are all in bidirectional electric connection with the scheduling module.
9. The adaptive AI routing scheduling method of claim 1, comprising the steps of:
the method comprises the following steps: in the running process of a taxi, an external camera recording module shoots external passengers waiting for the taxi, if the taxi does not carry passengers at the moment, the passengers can be observed through an in-car display module and then carried, if the taxi carries passengers at the moment, the passengers can be directly reported after being displayed by the in-car display module, if the taxi is determined by a driver after being displayed by the module at present, the information can also be reported, and the reported information can indicate that the passengers are confirmed and can be processed in advance compared with the information which is not confirmed;
step two: the central processor module analyzes and processes the information after receiving the information of the passengers who lose or fall, wherein the information comprises the sent passenger pictures, whether the information is confirmed by a driver or not and the places where the passengers are located;
step three: in the driving process of the vehicle, a route guiding module guides the vehicle according to an input destination, the guiding comprises normal navigation and route analysis, the route to the destination is displayed in front of a driver in a three-dimensional map display mode, the vehicle is placed in a three-dimensional model to simulate driving, road conditions in the route and road conditions of the destination are simulated according to data obtained by a navigation module, the possible traffic jam waiting time and the vehicle quantity are simulated together, then voice broadcasting is carried out according to the data, and appropriate suggestions are given, such as changing the route and the like;
step four: the driver probably meets emergency in the driving process, for example, passenger's accident, need urgent going to hospital etc. the information such as vehicle violation condition, with the car distance, with car speed, the overspeed warning in the car can be carried out the analysis to emergent module, then judge driver's intention, when judging the structure really is the emergency module, so direct transmission information gives the master-control room, the master-control room contacts with the driver and confirms the condition, then give emergency command by the master-control room, including but not limited to near all taxis, contact traffic broadcasting, connect the hospital.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011388133.2A CN112785831A (en) | 2020-12-02 | 2020-12-02 | Self-adaptive AI route selection scheduling method |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202422416U (en) * | 2012-01-10 | 2012-09-05 | 郑晓磊 | Intelligent comprehensive application system for taxies |
| CN102903236A (en) * | 2012-10-22 | 2013-01-30 | 杭州九树网络科技有限公司 | System and method for acquiring and scheduling taxi passenger source information in real time |
| US20140120862A1 (en) * | 2012-10-26 | 2014-05-01 | Hon Hai Precision Industry Co., Ltd. | Cloud server and method of emergency response service |
| CN103903468A (en) * | 2012-12-25 | 2014-07-02 | 上海博泰悦臻电子设备制造有限公司 | Time early-warning method for traffic jam and device thereof |
| CN108830264A (en) * | 2018-08-17 | 2018-11-16 | 吉林大学 | A kind of the platform occupant detection system and method for unmanned bus |
| CN108919256A (en) * | 2018-07-24 | 2018-11-30 | 河北德冠隆电子科技有限公司 | Four-dimensional outdoor scene traffic simulation overspeed of vehicle all-the-way tracking detection alarm system and method |
| CN109241927A (en) * | 2018-09-19 | 2019-01-18 | 惠州市名商实业有限公司 | Prejudge the method and system of passenger's carrier vehicle |
| US20200269759A1 (en) * | 2017-11-17 | 2020-08-27 | Aisin Aw Co., Ltd. | Superimposed-image display device and computer program |
| US20200282832A1 (en) * | 2017-11-17 | 2020-09-10 | Aisin Aw Co., Ltd. | Display device and computer program |
-
2020
- 2020-12-02 CN CN202011388133.2A patent/CN112785831A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202422416U (en) * | 2012-01-10 | 2012-09-05 | 郑晓磊 | Intelligent comprehensive application system for taxies |
| CN102903236A (en) * | 2012-10-22 | 2013-01-30 | 杭州九树网络科技有限公司 | System and method for acquiring and scheduling taxi passenger source information in real time |
| US20140120862A1 (en) * | 2012-10-26 | 2014-05-01 | Hon Hai Precision Industry Co., Ltd. | Cloud server and method of emergency response service |
| CN103903468A (en) * | 2012-12-25 | 2014-07-02 | 上海博泰悦臻电子设备制造有限公司 | Time early-warning method for traffic jam and device thereof |
| US20200269759A1 (en) * | 2017-11-17 | 2020-08-27 | Aisin Aw Co., Ltd. | Superimposed-image display device and computer program |
| US20200282832A1 (en) * | 2017-11-17 | 2020-09-10 | Aisin Aw Co., Ltd. | Display device and computer program |
| CN108919256A (en) * | 2018-07-24 | 2018-11-30 | 河北德冠隆电子科技有限公司 | Four-dimensional outdoor scene traffic simulation overspeed of vehicle all-the-way tracking detection alarm system and method |
| CN108830264A (en) * | 2018-08-17 | 2018-11-16 | 吉林大学 | A kind of the platform occupant detection system and method for unmanned bus |
| CN109241927A (en) * | 2018-09-19 | 2019-01-18 | 惠州市名商实业有限公司 | Prejudge the method and system of passenger's carrier vehicle |
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Application publication date: 20210511 |