CN115187101A - Automatic driving network car booking operation method, device and equipment - Google Patents

Automatic driving network car booking operation method, device and equipment Download PDF

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CN115187101A
CN115187101A CN202210856330.5A CN202210856330A CN115187101A CN 115187101 A CN115187101 A CN 115187101A CN 202210856330 A CN202210856330 A CN 202210856330A CN 115187101 A CN115187101 A CN 115187101A
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vehicle
order
stop point
driving
destination
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赵奕铭
徐建勇
吴啟璿
徐欣奕
姚小婷
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Dongfeng Motor Corp
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • BPERFORMING OPERATIONS; TRANSPORTING
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    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
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    • B60W60/001Planning or execution of driving tasks
    • B60W60/0025Planning or execution of driving tasks specially adapted for specific operations
    • B60W60/00253Taxi operations
    • GPHYSICS
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

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Abstract

The application relates to an automatic driving network car booking operation method, device and equipment, comprising the following steps: acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination; driving the vehicle from the first stopping point to a riding place through remote driving control; receiving first confirmation information, controlling the vehicle to run to the first stop point from the riding place through remote driving, and controlling the vehicle to enter an automatic driving mode; and after the vehicle reaches the second stopping point, the vehicle is controlled by remote driving to travel from the second stopping point to the destination. Through the scheme, the situation that the user goes to the stop point near the initial position and goes to the destination from the get-off stop point is avoided, the vehicle using experience of the user is optimized, the remote personnel are only needed to intervene and participate in the first stage and the last stage in the whole order task execution process, and the required labor cost is greatly reduced compared with the actual manual driving of the driver.

Description

Automatic driving network car booking operation method, device and equipment
Technical Field
The application relates to the technical field of unmanned vehicle operation, in particular to an automatic driving network car booking operation method, device and equipment.
Background
At present, with the development of 5G, big data, cloud platforms and automatic driving technologies, the automatic driving from point to point at the level of L4 tends to be mature, automatic driving demonstration operation routes are set in each advanced province and city in China, and automatic driving network appointment service between two stop points of Robotaxi is developed at the same time.
The existing characteristics of traditional net car of Robotaxi net, also have the attribute of traditional public trip vehicle, can meet an order at any time, but because be subject to present autopilot technique can't go on high-efficiently on complicated road conditions for it can't satisfy the passenger arbitrary position of taking a bus with get off the position, only can carry out autopilot in the route between two waypoints, this also means need the passenger to go to near waypoint and carry out the vehicle, cause the problem that influences passenger experience.
Disclosure of Invention
The embodiment of the application provides an automatic driving network car booking operation method, device and equipment, and aims to solve the problem that in the related art, user experience is poor when the automatic driving network car booking carries out service.
In a first aspect, an automatic driving network car booking operation method is provided, and the following technical scheme is adopted:
an automatic driving network car booking operation method comprises the following steps:
acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
driving the vehicle from the first stopping point to the riding place through remote driving control;
receiving first confirmation information, controlling the vehicle to run to the first stop point from the riding place through remote driving, and controlling the vehicle to enter an automatic driving mode;
after the vehicle reaches the second stop point, the vehicle is driven to the destination from the second stop point through remote driving control.
Through the scheme, when the vehicle executes the order task of the user, the vehicle can automatically drive to the first stop point which is closest to the riding place of the user in the automatic driving mode and further switch to the remote driving mode, the remote driving vehicle goes to the riding place to carry the user and then receives confirmation information, the stage realizes that the user can avoid the stop point of the vehicle for the user, meanwhile, the vehicle returns to the first stop point in the remote driving mode after carrying the user and switches to the automatic driving mode after returning to the first stop point, the vehicle goes to the second stop point according to the automatic driving route in the automatic driving mode, and the stage realizes manpower liberation without participation of remote personnel; after the vehicle arrives at the second stop point, the user can be sent to the get-off point again in the remote driving mode, and therefore the user is prevented from going to the destination from the stop point. The vehicle using experience of the user is optimized finally, and only remote personnel are needed to intervene and participate in the first stage and the last stage in the whole order task executing process, so that the required labor cost is greatly reduced compared with the manual vehicle driving of a real driver.
In some embodiments, after the obtaining a first stop point nearest to the riding place and a second stop point nearest to the destination according to the riding place and the getting-off place, before the vehicle is driven to the riding place from the first stop point by the remote driving control, the method further comprises:
screening out vehicles meeting order receiving conditions;
selecting the order-receiving vehicles from the vehicles meeting the order-receiving conditions according to a preset rule;
and controlling the order-receiving vehicle to travel to the first stop point.
Through the scheme, the vehicles at different positions in the operation area can participate in the receiving and executing of the order task as long as the vehicles meet the screening requirement, and the problem of unbalanced supply and demand of the vehicles is effectively relieved.
In some embodiments, the order taking condition comprises:
whether the surplus energy can be driven to the destination and/or whether the predicted time to the riding place meets the order requirement.
In some embodiments, whether the remaining capacity is available for driving to the destination and/or whether the time predicted to reach the taking place meets the order requirement is determined, and if the time predicted to reach the taking place is within a preset time range before and after the order requirement time, the vehicle is determined to meet the order receiving condition.
In some embodiments, the screening out vehicles meeting the order receiving condition includes:
if the vehicle to be selected is in service, acquiring the time for the vehicle to travel to the first stop point after the vehicle is estimated to reach the destination of the service order;
and if the time of driving to the first stop point meets the order requirement after the vehicle is predicted to reach the destination of the service order, and the residual electric quantity can be driven to the destination of the order to be distributed, judging that the vehicle meets the order receiving condition.
By the scheme, the vehicles in service can also participate in the vehicle screening range for the submitted orders, and the orders are picked up when the screening conditions are met, so that the vehicle range of the executable orders is improved, the order picking capacity of the whole vehicles in the operation area is effectively provided, and the order picking speed of the users after the orders are submitted is further improved.
In some embodiments, the selecting the order-receiving vehicles from the vehicles meeting the order-receiving condition according to the preset rule includes:
and screening the vehicles meeting the order receiving condition according to a preset rule to obtain the vehicle which arrives at the taking place earliest or the vehicle of which the arrival time is closest to the time required by the order.
In some embodiments, after the vehicle reaches the second stop point and the vehicle is controlled by remote driving to travel from the second stop point to the destination, the method further comprises:
and driving the vehicle to the second stopping point from the destination through the remote driving control.
Through the scheme, after the vehicle finishes the order task, the vehicle can return to the nearest second stop point under the control of the remote personnel, so that the vehicle can change from the occupied state to the idle state, and the vehicle can rapidly move forward to the first stop point of the next order task in an automatic driving mode when executing the next order task. The method and the device have the advantages that the vehicles can smoothly pass through the complex road conditions to get back to the nearest stop point through the remote driving mode after completing the previous order task, the manpower can be liberated after the vehicles get back to the nearest stop point, the manpower can be effectively liberated in the process of executing the first stop point going to the latest order task in the automatic driving mode, and the vehicles can further participate in the screening and execution of the order task in the whole operation area.
In a second aspect, an automatic driving network car booking operation device is provided, which adopts the following technical scheme:
an automatic driving network car booking operation device, comprising:
the acquisition module is used for acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
an autonomous driving module for controlling the vehicle to enter an autonomous driving mode;
and the remote driving module is used for sending vehicle control signals of remote driving control to the vehicle.
The third aspect provides an automatic driving network car booking operation device, which adopts the following technical scheme:
an automatic driving network car booking operation device, comprising: the automatic driving network car-booking operation program is stored on the memory and can run on the processor, and the automatic driving network car-booking operation program is configured to realize the steps of the automatic driving network car-booking operation method.
The beneficial effect that technical scheme that this application provided brought includes:
the embodiment of the application provides an automatic driving network car booking operation method, device and equipment, when a vehicle executes an order task of a user, the vehicle can automatically drive to a first stop point which is closest to a riding place of the user in an automatic driving mode and further switch to a remote driving mode, the remote driving vehicle goes to the riding place to carry the user and then receives confirmation information, the stage is that the user is prevented from going to the stop point of the vehicle, meanwhile, the vehicle returns to the first stop point in the remote driving mode after carrying the user and is switched to the automatic driving mode after returning to the first stop point, the vehicle goes to a second stop point according to an automatic driving route in the automatic driving mode, and the stage does not need participation of remote personnel and realizes manpower release; after the vehicle reaches the second stop point, the user can be sent to the get-off point again through the remote driving mode, and therefore the user is prevented from going to the destination from the stop point.
Finally, the vehicle using experience of a user is optimized, remote personnel are only needed to intervene in the first stage and the last stage in the whole order task executing process, and the required labor cost is greatly reduced compared with that of manual vehicle driving of a real driver.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a hardware configuration of an automatic driving network car booking operation device;
FIG. 2 is a schematic overall flow chart provided herein;
FIG. 3 is a schematic overall flow diagram of some embodiments provided herein;
FIG. 4 is a partial schematic flow chart diagram of some embodiments provided herein;
fig. 5 is a schematic functional module diagram of an embodiment of the automatic driving network taxi appointment apparatus according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The Robotaxi network car reservation has the characteristics of the traditional network car reservation and the attributes of the traditional public travel means, and can be used for receiving orders at any time, but is limited by the fact that the existing automatic driving technology cannot efficiently drive on complex road conditions, so that the arbitrary riding position of a passenger can not be met, the passenger can only automatically drive on a route between two fixed points, and the passenger is required to go to a nearby stop point to carry out the vehicle, and the problem of influencing passenger experience is caused.
Based on the above problems, the embodiment of the application provides an automatic driving network car booking operation method, device and equipment.
In a first aspect, referring to fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory or a Non-volatile memory (Non-volatile memory), such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and an automatic driving network appointment operation program. The device of the present invention may call the automatic driving network car-booking operation program stored in the memory 1005 through the processor 1001, and execute the automatic driving network car-booking operation method provided in the embodiment of the present application.
In a second aspect, an embodiment of the present application provides an automatic driving network car booking operation method.
Referring to fig. 2, an automatic driving network car booking operation method includes:
s100, acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
s200, controlling the vehicle to travel to the riding place from the first stopping point through remote driving;
s300, receiving first confirmation information, controlling the vehicle to run to the first stop point from the riding place through remote driving, and controlling the vehicle to enter an automatic driving mode;
s400, after the vehicle reaches the second stop point, the vehicle is controlled to drive from the second stop point to the destination through remote driving.
In order to smoothly execute the above method, the present embodiment further provides an unmanned operation system for automatic driving network car booking for executing the above method, where the unmanned operation system for automatic driving network car booking has functions of vehicle remote monitoring, remote control, automatic driving, operation management, and the like, and the system includes: the system comprises a mobile client, a perception sensor, an automatic driving controller, a vehicle-mounted internet terminal, a vehicle chassis actuator, a remote control platform, a scheduling cloud platform and a remote driving rack. The mobile client is used for making a vehicle appointment by a user, and the sensing sensor comprises a camera, a laser radar, a millimeter wave radar and an ultrasonic radar and is used for acquiring vehicle running environment information; the automatic driving controller controls a vehicle chassis actuator to safely and stably drive according to the external driving environment information acquired by the sensing sensor; the vehicle-mounted internet terminal is used for receiving remote driving signals and uploading vehicle running state information; the dispatching cloud platform is used for receiving position information, running environment information and vehicle running state information fed back by the remote vehicle, receiving reservation information of a client, screening, distributing and executing task vehicles and forwarding vehicle control signals output by the remote driving stand; the remote driving platform frame is used for a remote driver to remotely take over and control the vehicle.
It is worth explaining that the first stop point and the second stop point are any two of a plurality of stop points which are collected in an operation area of the automatic driving network car booking in advance, and an automatic driving route can be automatically formed between any two stop points, so that the automatic driving network car booking can be automatically driven between the two stop points.
According to the arrangement, when the vehicle executes the order task of the user, the vehicle can automatically drive to the first stop point which is closest to the riding place of the user in the automatic driving mode and further switch to the remote driving mode, the remote driving vehicle goes to the riding place to carry the user and then receives confirmation information, the stage is that the user can avoid the stop point of the vehicle for the user, meanwhile, the vehicle returns to the first stop point in the remote driving mode after carrying the user and switches to the automatic driving mode after returning to the first stop point, the vehicle goes to the second stop point according to the automatic driving route in the automatic driving mode, and the stage does not need the participation of remote personnel and realizes the release of manpower; after the vehicle reaches the second stop point, the user can be sent to the get-off point again through the remote driving mode, and therefore the user is prevented from going to the destination from the stop point.
The vehicle using experience of the user is optimized finally, and only remote personnel are needed to intervene and participate in the first stage and the last stage in the whole order task executing process, so that the required labor cost is greatly reduced compared with the manual vehicle driving of a real driver.
Referring to fig. 3, optionally, after the step S100 of obtaining a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and a alighting place, the step S200 of controlling the vehicle to travel from the first stop point to the riding place by remote driving further includes:
s110, screening out vehicles meeting order receiving conditions;
s120, selecting the order-receiving vehicles from the vehicles meeting the order-receiving conditions according to preset rules;
s130, controlling the order-receiving vehicle to run to the first stop point.
By the arrangement, the vehicles at different positions in the operation area can participate in the receiving and executing of the order task as long as the vehicles meet the screening requirement, and the problem of unbalanced supply and demand of the vehicles is effectively relieved.
In some preferred embodiments, the order taking conditions include:
whether the surplus energy can be driven to the destination and/or whether the predicted time to the riding place meets the order requirement.
In the embodiment, the remaining capacity is required to be able to travel to the destination and the estimated time to get to the riding place is required to meet the order requirement. Meanwhile, in different embodiments, only any one of them may be satisfied.
Further, whether the residual capacity can be driven to the destination and/or whether the time of the vehicle expected to arrive at the place meets the order requirement is judged, and if the time of the vehicle expected to arrive at the place is within a preset time length range before and after the order requirement time, the vehicle is judged to meet the order receiving condition.
The preset time range may be a fixed range set in advance, for example, 5min before and after the time required by the order.
In some embodiments, the range later than the order request time in the front and rear preset time range may also be adaptively adjusted by the acceptable waiting time set by the user at the mobile terminal, and if the acceptable waiting time set by the user at the mobile terminal is 6min, the front and rear preset time range may be changed to the front 5min and the rear 6min of the order request time.
Meanwhile, different vehicles may have idle states or state differences of orders being executed, so that the vehicles executing the orders can also participate in screening and executing the orders, further, the operation mode is optimized, and the supply and demand problems are solved to the maximum extent. In some preferred embodiments, the vehicle screened to meet the order accepting condition includes:
if the vehicle to be selected is in service, acquiring the time of driving to the first stop point after the vehicle to be selected is estimated to reach the destination of the order in service;
and if the time of driving to the first stop point meets the order requirement after the vehicle is predicted to reach the destination of the service order, and the residual electric quantity can be driven to the destination of the order to be distributed, judging that the vehicle meets the order receiving condition.
Preferably, in this embodiment, after obtaining the time for the vehicle in service to travel to the first stop point after the vehicle is predicted to reach the destination of the order in service, a time error value is further added, and the practical meaning of the time error value is that an error time occurs in the order execution process, which causes a delay in the order execution process, for example, an error occurs when the user takes an elevator, which causes a delay in the boarding time. The set value is calculated in this embodiment based on the error times occurring in the historical orders completed by the vehicle, and may be an average value of the error times occurring in the historical orders. Meanwhile, in other embodiments, the error time may be preset to a fixed value.
By the arrangement, the vehicles in service can also participate in the vehicle screening range for the submitted orders, and the orders can be received when the screening conditions are met, so that the vehicle range of the executable orders is improved, the order receiving capacity of the whole vehicles in the operating area is effectively provided, and the order receiving speed of the users after the orders are submitted is further improved.
Further, in step S111, the step of selecting a vehicle meeting the order meeting condition from the vehicles meeting the order meeting condition according to a preset rule includes:
and screening the vehicles meeting the order receiving conditions according to a preset rule to obtain the vehicle which arrives at the riding place earliest or the vehicle of which the arrival time is closest to the time required by the order.
Preferably, in this embodiment, the vehicle that arrives at the riding place earliest is selected from the vehicles meeting the order taking condition according to the preset rule as the order taking vehicle, so as to reduce the occurrence of late arrival of the vehicle to the maximum extent and control the user experience to be at a better level.
Referring to fig. 4, further, in step S400, after the vehicle reaches the second stop point and travels from the second stop point to the destination through the remote driving control vehicle, the method further includes:
and S500, controlling the vehicle to travel from the destination to the second stop point through remote driving.
The vehicle can return to the nearest second stop point under the control of remote personnel after completing the order task, so that the occupied state is changed into the idle state, and the vehicle can rapidly move forward to the first stop point of the next order task in an automatic driving mode when executing the next order task. The method and the device realize that the vehicles can smoothly get back to the nearest stop point through the complex road condition after finishing the previous order task in a remote driving mode, and can release the manpower after getting back to the nearest stop point, and can effectively release the manpower in the process of executing the first stop point going to the latest order task in an automatic driving mode, and are further convenient for each vehicle to participate in the screening and execution of the order task in the whole operation area.
Based on the above, specifically, in the embodiment, when the vehicle is screened, the driving distance with respect to the remaining power should satisfy:
if the vehicle is executing the order, the distance which can be traveled by the current residual electric quantity of the vehicle is more than the sum of the residual travel distance of the executing order, the distance from the vehicle to a second stop point of the order after the executed order task is completed, the travel distance between the second stop point of the order and a first stop point of the order to be accepted and the travel distance of the order to be accepted;
if the vehicle is in an idle state capable of receiving order tasks in any stopping point, the distance that the current residual electric quantity can travel is larger than the sum of the distance that the vehicle travels from the stopping point to the first stopping point and the travel distance of the order to be received.
In this embodiment, when screening the vehicles, specifically, whether the estimated time of arrival at the riding place meets the order requirement is:
if the vehicle is executing the order, the time required for the vehicle to arrive at the place of ride includes the time required for the vehicle to complete the order task being executed, the time required for the vehicle to be remotely driven by the remote personnel to a second stop point of the order after the executed order task is completed, the time required for the vehicle to travel from the second stop point of the order to a first stop point of the order to be picked up, the error time, and the time required for the vehicle to travel from the first stop point of the order to be picked up to the place of ride of the order to be picked up.
If the vehicle is in an idle state capable of receiving order tasks in any stopping point, the time required for the vehicle to arrive at the riding place comprises the time required for the vehicle to travel from the stopping point to the first stopping point and the time required for the vehicle to travel from the first stopping point to the riding place.
Referring to fig. 5, in a third aspect, an embodiment of the present application provides an automatic driving network car booking operation device.
An automatic driving network car booking operation device, comprising:
the acquisition module is used for acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
an autonomous driving module for controlling the vehicle to enter an autonomous driving mode;
and the remote driving module is used for sending vehicle control signals of remote driving control to the vehicle.
Further, the automatic driving network car booking operation device further comprises:
and the screening module is used for screening out the vehicles meeting the order receiving conditions and selecting the vehicles meeting the order from the vehicles meeting the order receiving conditions according to a preset rule.
In a fourth aspect, a storage medium is provided.
The readable storage medium provided by the present application stores an automatic driving network car-booking operation program, wherein when the automatic driving network car-booking operation program is executed by the processor, the steps of the automatic driving network car-booking operation method are implemented. The method implemented when the automatic driving network car booking operation program is executed may refer to each embodiment of the automatic driving network car booking operation method provided in the present application, and details are not described herein.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for causing a terminal device to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An automatic driving network car booking operation method is characterized by comprising the following steps:
acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
driving the vehicle from the first stopping point to the riding place through remote driving control;
receiving first confirmation information, controlling the vehicle to travel from the riding place to the first stop point through remote driving, and controlling the vehicle to enter an automatic driving mode;
after the vehicle reaches the second stopping point, the vehicle is controlled by remote driving to travel from the second stopping point to the destination.
2. The automatic driving network car-booking operation method of claim 1,
after the obtaining a first stop point nearest to a riding place and a second stop point nearest to a destination according to the riding place and a getting-off place, before the vehicle is driven to the riding place from the first stop point through remote driving control, the method further comprises the following steps:
screening out vehicles meeting order receiving conditions;
selecting the order-receiving vehicles from the vehicles meeting the order-receiving conditions according to a preset rule;
and controlling the order receiving vehicle to travel to the first stop point.
3. The automated driving network car-booking operation method of claim 2, wherein the order taking condition comprises:
whether the remaining capacity is available for travel to the destination and/or whether the estimated time to the ride location meets the order requirements.
4. The automatic driving network car-booking operation method according to claim 3, wherein in the case that whether the remaining capacity is available for driving to the destination and/or the time predicted to reach the taking place meets the order requirement, and the time predicted to reach the taking place is within a preset time range before and after the order requirement time, it is determined that the vehicle meets the order-receiving condition.
5. The automated driving network taxi appointment operation method according to claim 2, wherein the screening of the vehicles meeting the order taking condition comprises:
if the vehicle to be selected is in service, acquiring the time of driving to the first stop point after the vehicle to be selected is estimated to reach the destination of the order in service;
and if the time of driving to the first stop point meets the order requirement after the vehicle is predicted to reach the destination of the service order, and the residual electric quantity can be driven to the destination of the order to be distributed, judging that the vehicle meets the order receiving condition.
6. The automatic driving network car-booking operation method according to claim 2, wherein the selecting of the order-receiving vehicles among the vehicles meeting the order-receiving condition according to the preset rule comprises:
and screening the vehicles meeting the order receiving condition according to a preset rule to obtain the vehicle which arrives at the taking place earliest or the vehicle of which the arrival time is closest to the time required by the order.
7. The automated driving network car-booking operation method of claim 1, wherein after the vehicle reaches the second stop point, driving from the second stop point to the destination by the remote driving control vehicle, further comprising:
and driving the vehicle to the second stopping point from the destination through the remote driving control.
8. An automatic driving net car booking operation device is characterized by comprising:
the acquisition module is used for acquiring a first stop point closest to a riding place and a second stop point closest to a destination according to the riding place and the destination;
an autonomous driving module for controlling the vehicle to enter an autonomous driving mode;
and the remote driving module is used for sending vehicle control signals of remote driving control to the vehicle.
9. The automatic driving network car booking operation apparatus of claim 8, further comprising:
and the screening module is used for screening out the vehicles meeting the order receiving conditions and selecting the vehicles meeting the order from the vehicles meeting the order receiving conditions according to a preset rule.
10. An automatic driving net car booking operation device is characterized by comprising: a memory, a processor, and an autonomous driving network car-booking operation program stored on the memory and executable on the processor, the autonomous driving network car-booking operation program configured to implement the steps of the autonomous driving network car-booking operation method of any one of claims 1 to 7.
CN202210856330.5A 2022-07-18 2022-07-18 Automatic driving network car booking operation method, device and equipment Pending CN115187101A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115439196A (en) * 2022-11-09 2022-12-06 浙江云针信息科技有限公司 Unmanned vehicle order receiving method and device, storage medium and terminal

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115439196A (en) * 2022-11-09 2022-12-06 浙江云针信息科技有限公司 Unmanned vehicle order receiving method and device, storage medium and terminal

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