CN114330786A - Vehicle reservation method, device and equipment based on automatic driving and storage medium - Google Patents
Vehicle reservation method, device and equipment based on automatic driving and storage medium Download PDFInfo
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- CN114330786A CN114330786A CN202110912983.6A CN202110912983A CN114330786A CN 114330786 A CN114330786 A CN 114330786A CN 202110912983 A CN202110912983 A CN 202110912983A CN 114330786 A CN114330786 A CN 114330786A
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Abstract
The application provides a vehicle reservation method, a device, electronic equipment and a storage medium based on automatic driving, which are applied to the technical field of intelligent traffic; the method comprises the following steps: presenting an intelligent reservation interface for an autonomous vehicle, the intelligent reservation interface for reserving at least two types of autonomous vehicles; receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface, and presenting a corresponding travel route based on the travel starting point and the travel terminal point; the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle; when a reservation instruction of the automatic driving vehicle is received, reserving at least two types of automatic driving vehicles corresponding to the at least two sections of sub-travel routes; through the method and the device, the reservation of various types of automatic driving vehicles related to the travel route can be realized, the user operation is reduced, and the automatic driving travel efficiency is improved.
Description
Technical Field
The present disclosure relates to the field of automatic driving technologies, and in particular, to a vehicle reservation method and apparatus based on automatic driving, an electronic device, and a storage medium.
Background
The reserved travel of the autonomous vehicle in the related art is reserved travel of a single-type vehicle, such as reserved travel of an autonomous taxi, reserved travel of an autonomous bus, and the like. In practical application, transfer of different types of transportation means is often required to be involved between a starting point and a destination of a passenger, and at the moment, the passenger is required to perform shift inquiry, transfer point inquiry and the like of the transportation means by himself/herself during transfer, so that operation of a user is complicated, and the efficiency of automatic driving travel is reduced.
Disclosure of Invention
The embodiment of the application provides a vehicle reservation method, a vehicle reservation device, electronic equipment and a storage medium based on automatic driving, so that reservation of various types of automatic driving vehicles related to a travel route can be realized, user operation is reduced, and the efficiency of automatic driving travel is improved.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides a vehicle reservation method based on automatic driving, which comprises the following steps:
presenting an intelligent reservation interface for an autonomous vehicle, the intelligent reservation interface for reserving at least two types of autonomous vehicles;
receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface, and presenting a corresponding travel route based on the travel starting point and the travel terminal point;
the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle;
when a reservation instruction of the automatic driving vehicle is received, at least two types of automatic driving vehicles corresponding to the at least two sections of sub-travel routes are reserved.
The embodiment of the present application further provides a vehicle reservation device based on automatic driving, including:
the system comprises a first presentation module, a second presentation module and a third presentation module, wherein the first presentation module is used for presenting an intelligent reservation interface of the automatic driving vehicle, and the intelligent reservation interface is used for reserving at least two types of automatic driving vehicles;
the second presentation module is used for receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface and presenting a corresponding travel route based on the travel starting point and the travel terminal point;
the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle;
and the reservation module is used for reserving at least two types of automatic driving vehicles corresponding to the at least two sections of sub-travel routes when a reservation instruction of the automatic driving vehicle is received.
In the foregoing solution, the first presenting module is further configured to present a function entrance display area of the autonomous vehicle, and
presenting an intelligent booking function entry in the function entry display area;
and presenting an intelligent reservation interface of the automatic driving vehicle in response to the triggering operation aiming at the intelligent reservation function entrance.
In the above scheme, the first presenting module is further configured to present, in the function entrance display area, another reservation function entrance different from the intelligent reservation function entrance, where the other reservation function entrance is used to reserve an autonomous vehicle of a target type;
when a triggering operation aiming at the other reservation function entrance is received, switching from presenting the intelligent reservation interface to presenting a reservation interface for reserving the target type of automatic driving vehicle.
In the above scheme, the second presenting module is further configured to present route generation function items corresponding to the travel starting point and the travel ending point;
the second presentation module is further used for responding to the triggering operation aiming at the route generation function item and acquiring the portrait information of the current user;
and presenting a travel route matched with the portrait information based on the travel starting point and the travel terminal.
In the above scheme, the second presenting module is further configured to present at least two candidate travel routes for selection and route identifiers corresponding to the candidate travel routes based on the travel starting point and the travel ending point;
wherein the route identifier is used for indicating route characteristics of a corresponding candidate travel route;
and responding to a route selection operation based on the route identification, and presenting the selected candidate travel route as the travel route.
In the above scheme, the intelligent reservation interface includes a map display area; the second presentation module is further configured to present, in the map display area, the starting point of travel, the ending point of travel, and the indication icons corresponding to transfer sites between the sub-travel routes, and to present the indication icons corresponding to the transfer sites between the sub-travel routes
And connecting corresponding indication icons through connecting lines according to the direction from the travel starting point to the travel terminal point through the transfer station so as to present the travel route.
In the above scheme, the intelligent reservation interface includes an information display area; the second presentation module is further configured to present, in the information display area, route information of each of the sub-travel routes included in the travel route and a viewing function item corresponding to each of the sub-travel routes;
and when a trigger operation of a viewing function item for a target sub-travel route is received, presenting route detail information of the target sub-travel route.
In the above scheme, the second presentation module is further configured to present the first route display card, and
presenting route information of the travel route in the first route display card;
when the travel routes are at least two, responding to the sliding operation aiming at the first route display card, sliding out the first route display card, and
and presenting a second route display card positioned at the lower layer of the first route display card so as to present route information of other travel routes different from the travel route through the second route display card.
In the above scheme, the second presenting module is further configured to present a reservation function item for reserving the automatic driving vehicle corresponding to the travel route;
when a trigger operation for the reservation function item is received, a reservation instruction of the autonomous vehicle is received.
In the above scheme, the second presentation module is further configured to obtain service information of the autonomous vehicle and road information within a service range of the autonomous vehicle;
determining at least two reachable candidate travel routes based on the travel starting point and the travel ending point by combining the service information and the road information;
inputting each candidate trip route into a neural network model respectively, and predicting time-consuming duration through the neural network model to obtain time-consuming duration corresponding to each candidate trip route;
and taking the candidate travel route with the shortest time as the travel route, and presenting the travel route.
In the foregoing solution, the second presenting module is further configured to determine a predictable score of each candidate travel route, where the predictable score is used to indicate a probability that a target scene appears on a road through which the corresponding candidate travel route passes;
taking a candidate travel route of which the predictable score does not exceed the score threshold value in the at least two candidate travel routes as a first candidate travel route, and taking a candidate travel route of which the predictable score exceeds the score threshold value in the at least two candidate travel routes as a second candidate travel route;
predicting the time-consuming duration of the first candidate travel route through a first neural network model to obtain corresponding time-consuming duration, and
and predicting the time-consuming duration of the second candidate trip route through a second neural network model to obtain corresponding time-consuming duration so as to obtain the time-consuming duration corresponding to each candidate trip route.
In the above scheme, the first presentation module is further configured to present, in an application interface of the parent application program, a function entry for reserving a reservation applet for reserving the autonomous vehicle;
and responding to the triggering operation aiming at the function entrance, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
In the above scheme, the first presentation module is further configured to receive a scanning operation for a graphic code triggered by a parent application, where the graphic code corresponds to a reservation applet reserving an autonomous vehicle;
and responding to the scanning operation, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
In the above scheme, the second presentation module is further configured to receive, at the intelligent reservation interface, a positioning operation for a current location;
responding to the positioning operation, and receiving the travel starting point positioned based on the positioning operation;
and the trip starting point is a target driving station which is closest to the current position obtained by the positioning operation in the driving stations corresponding to the automatic driving vehicle.
In the above scheme, the second presenting module is further configured to present service prompt information when there is no driving station, of the driving stations corresponding to the autonomous vehicle, whose distance from the current location is lower than a service distance threshold;
the service prompt information is used for prompting that the current position is not in the service range of the automatic driving vehicle.
In the above scheme, the second presenting module is further configured to present, in the intelligent reservation interface, a starting point input function item and a corresponding default travel starting point;
receiving a target starting point input based on the starting point input function item, and presenting at least one candidate starting point associated with the target starting point for selection, wherein the at least one candidate starting point comprises the travel starting point;
in response to a selection operation for the travel starting point, receiving an input travel starting point, and replacing the default travel starting point presented with the travel starting point.
In the above scheme, the second presenting module is further configured to present a terminal point input function item in the intelligent reservation interface;
receiving a target destination input based on the destination input function item, and
presenting at least one candidate endpoint associated with the target endpoint for selection, the at least one candidate endpoint including the travel endpoint;
and responding to the selection operation aiming at the travel terminal, and receiving the input travel terminal.
An embodiment of the present application further provides an electronic device, including:
a memory for storing executable instructions;
and the processor is used for realizing the automatic driving-based vehicle reservation method provided by the embodiment of the application when the executable instructions stored in the memory are executed.
The embodiment of the application also provides a computer-readable storage medium, which stores executable instructions, and when the executable instructions are executed by a processor, the vehicle reservation method based on automatic driving provided by the embodiment of the application is realized.
The embodiment of the application has the following beneficial effects:
in an intelligent reservation interface of automatic driving, receiving an input travel starting point and an input travel terminal, generating and presenting a corresponding travel route based on the travel starting point and the travel terminal, wherein the travel route consists of at least two successive sub-travel routes, each sub-travel route corresponds to one type of automatic driving vehicle, and when a reservation instruction of the automatic driving vehicle is received, reserving at least two types of automatic driving vehicles corresponding to the at least two sub-travel routes; therefore, the reservation of various types of automatic driving vehicles related to corresponding travel routes is realized aiming at the input travel starting point and the travel terminal point, and the reservation can be realized only by triggering reservation instructions by a user, so that the user operation is reduced, and the efficiency of automatic driving travel is improved.
Drawings
Fig. 1 is a schematic diagram of an architecture of an automatic driving-based vehicle reservation system 100 provided by an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electronic device 500 for implementing an automatic driving-based vehicle reservation method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating a method for vehicle reservation based on automatic driving provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a functional portal display area provided by an embodiment of the present application;
FIG. 5 is a schematic representation of a presentation of an intelligent reservation interface provided by an embodiment of the present application;
FIG. 6 is a schematic presentation diagram of an intelligent booking interface provided by an embodiment of the application;
FIG. 7 is a schematic representation of a presentation of a smart reservation interface for an autonomous vehicle provided by an embodiment of the present application;
fig. 8 is an input diagram of a travel starting point provided in the embodiment of the present application;
fig. 9 is a schematic diagram of an input of a trip endpoint provided in an embodiment of the present application;
fig. 10 is a schematic presentation diagram of a travel route provided by an embodiment of the present application;
fig. 11 is a schematic presentation diagram of a travel route provided by an embodiment of the present application;
fig. 12 is a schematic presentation diagram of a travel route provided by an embodiment of the present application;
FIG. 13 is a schematic representation of an information display area provided by an embodiment of the present application;
FIG. 14 is a schematic representation of a route display card provided by an embodiment of the present application;
FIG. 15 is a schematic diagram illustrating the reception of a reservation instruction according to an embodiment of the present application;
FIG. 16 is a schematic flow chart diagram illustrating a method for reserving a vehicle for autonomous driving provided by an embodiment of the present application;
FIG. 17 is a schematic flow chart diagram illustrating a method for reserving a vehicle for autonomous driving according to an embodiment of the present application;
fig. 18 is a schematic flow chart illustrating a prediction process of a time-consuming duration of a candidate travel route according to an embodiment of the present application.
Detailed Description
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
In the following description, references to the terms "first \ second \ third" are only to distinguish similar objects and do not denote a particular order, but rather the terms "first \ second \ third" are used to interchange specific orders or sequences, where appropriate, so as to enable the embodiments of the application described herein to be practiced in other than the order shown or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.
1) The terminal comprises a client and an application program running in the terminal and used for providing various services, such as an instant messaging client and a video playing client.
2) In response to the condition or state on which the performed operation depends, one or more of the performed operations may be in real-time or may have a set delay when the dependent condition or state is satisfied; there is no restriction on the order of execution of the operations performed unless otherwise specified.
Based on the above explanations of terms and terms involved in the embodiments of the present application, the following describes an automatic driving-based vehicle reservation system provided by the embodiments of the present application. Referring to fig. 1, fig. 1 is a schematic diagram of an architecture of an automatic driving-based vehicle reservation system 100 provided in an embodiment of the present application, in order to support an exemplary application, a terminal (an exemplary terminal 400-1 is shown) is connected to a server 200 through a network 300, where the network 300 may be a wide area network or a local area network, or a combination of the two, and data transmission is implemented using a wireless or wired link.
A terminal (e.g., terminal 400-1) for presenting an intelligent reservation interface of the autonomous vehicle on a graphical interface 410 (the graphical interface 410-1 is exemplarily shown), receiving a travel starting point and a travel ending point input based on the intelligent reservation interface, and transmitting the travel starting point and the travel ending point to the server 200;
the server 200 is used for receiving the travel starting point and the travel end point sent by the terminal, generating a corresponding travel route based on the travel starting point and the travel end point, and returning the travel route to the terminal;
a terminal (e.g., terminal 400-1) for receiving and presenting a travel route; when a reservation instruction of the autonomous vehicle is received, at least two types of autonomous vehicles corresponding to the at least two sub-travel routes are reserved. Here, the travel route is composed of at least two successive sub-travel routes, each sub-travel route corresponding to one type of autonomous vehicle.
In practical application, the server 200 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, a CDN, a big data and artificial intelligence platform, and the like. The terminal (e.g., terminal 400-1) may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart television, a smart watch, and the like. The terminal (e.g., terminal 400-1) and the server 200 may be directly or indirectly connected through wired or wireless communication, and the application is not limited thereto.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an electronic device 500 for implementing an automatic driving-based vehicle reservation method according to an embodiment of the present disclosure. In practical applications, the electronic device 500 may be a server or a terminal shown in fig. 1, and the electronic device 500 is taken as the terminal shown in fig. 1 as an example to explain the electronic device implementing the vehicle reservation method based on automatic driving according to the embodiment of the present application, where the electronic device 500 provided in the embodiment of the present application includes: at least one processor 510, memory 550, at least one network interface 520, and a user interface 530. The various components in the electronic device 500 are coupled together by a bus system 540. It is understood that the bus system 540 is used to enable communications among the components. The bus system 540 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 540 in fig. 2.
The Processor 510 may be an integrated circuit chip having Signal processing capabilities, such as a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like, wherein the general purpose Processor may be a microprocessor or any conventional Processor, or the like.
The user interface 530 includes one or more output devices 531 enabling presentation of media content, including one or more speakers and/or one or more visual display screens. The user interface 530 also includes one or more input devices 532, including user interface components to facilitate user input, such as a keyboard, mouse, microphone, touch screen display, camera, other input buttons and controls.
The memory 550 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid state memory, hard disk drives, optical disk drives, and the like. Memory 550 optionally includes one or more storage devices physically located remote from processor 510.
The memory 550 may comprise volatile memory or nonvolatile memory, and may also comprise both volatile and nonvolatile memory. The nonvolatile Memory may be a Read Only Memory (ROM), and the volatile Memory may be a Random Access Memory (RAM). The memory 550 described in embodiments herein is intended to comprise any suitable type of memory.
In some embodiments, memory 550 can store data to support various operations, examples of which include programs, modules, and data structures, or subsets or supersets thereof, as exemplified below.
An operating system 551 including system programs for processing various basic system services and performing hardware-related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks;
a network communication module 552 for communicating to other computing devices via one or more (wired or wireless) network interfaces 520, exemplary network interfaces 520 including: bluetooth, wireless compatibility authentication (WiFi), and Universal Serial Bus (USB), etc.;
a presentation module 553 for enabling presentation of information (e.g., a user interface for operating peripherals and displaying content and information) via one or more output devices 531 (e.g., a display screen, speakers, etc.) associated with the user interface 530;
an input processing module 554 to detect one or more user inputs or interactions from one of the one or more input devices 532 and to translate the detected inputs or interactions.
In some embodiments, the automatic driving-based vehicle reservation apparatus provided by the embodiments of the present application can be implemented in software, and fig. 2 shows an automatic driving-based vehicle reservation apparatus 555 stored in a memory 550, which can be software in the form of programs and plug-ins, and the like, and includes the following software modules: a first presentation module 5551, a second presentation module 5552 and a reservation module 5553, which are logical and thus can be arbitrarily combined or further split according to the implemented functions, the functions of the respective modules will be explained below.
In other embodiments, the automatic driving-based vehicle reservation Device provided by the embodiments of the present Application may be implemented by a combination of hardware and software, and as an example, the automatic driving-based vehicle reservation Device provided by the embodiments of the present Application may be a processor in the form of a hardware decoding processor, which is programmed to execute the automatic driving-based vehicle reservation method provided by the embodiments of the present Application, for example, the processor in the form of the hardware decoding processor may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), or other electronic components.
Based on the above description of the vehicle reservation system and the electronic device based on automatic driving provided by the embodiment of the present application, the following describes a vehicle reservation method based on automatic driving provided by the embodiment of the present application. In some embodiments, the vehicle reservation method based on automatic driving provided by the embodiments of the present application may be implemented by a server or a terminal alone, or implemented by a server and a terminal in a cooperation manner.
Referring to fig. 3, fig. 3 is a schematic flowchart of an automatic driving-based vehicle reservation method according to an embodiment of the present application, and the automatic driving-based vehicle reservation method according to the embodiment of the present application includes:
step 101: the terminal presents an intelligent reservation interface for the autonomous vehicle.
Wherein, this intelligence reservation interface is used for reserving the autonomous vehicle of at least two kinds.
Here, the terminal is provided with a client, such as a client for reserving the autonomous vehicle, and presents an intelligent reservation interface of the autonomous vehicle by operating the client; alternatively, the terminal may run an applet for reserving the autonomous vehicle through a configured client (e.g., an instant messaging client) to present an intelligent reservation interface for the autonomous vehicle. In practical application, when the applet is reserved for the first time, the code file of the applet needs to be loaded in advance to realize the running of the applet.
An automatic driving vehicle is also called an unmanned vehicle, a computer driving vehicle or a wheeled mobile robot, and is an intelligent vehicle which realizes unmanned driving through a computer system. The automatic driving automobile depends on the cooperation of artificial intelligence, visual calculation, radar, monitoring device and global positioning system, so that the computer can operate the motor vehicle automatically and safely without any active operation of human.
In the embodiment of the application, the automatic driving vehicle can have at least one automatic driving grade, the automatic driving grade is used for representing the capability of the vehicle for realizing autonomous driving, and the lower the grade is, the lower the corresponding capability is; in some embodiments, the automatic driving level of the automatic driving vehicle may be classified into 6 levels from L0 to L5, L0 represents a conventional human driving without automatic driving participation, and L1 to L5 are classified according to maturity of the automatic driving according to classification criteria. Wherein the content of the first and second substances,
level L0: the driver completely drives, the automobile is purely driven manually, and the automobile is only responsible for executing commands and does not intervene in driving. Including braking, steering, throttle, and power transmission. The risk needs to be judged by the driver.
Level L1: automated systems are sometimes able to assist a driver in performing certain driving tasks and only assist in performing one driving maneuver. The driver needs to monitor the driving environment and prepare to take over at any time.
Level L2: the system can control acceleration and deceleration and control a steering wheel during driving, so that a driver can give up main control but still needs to observe surrounding conditions and provide safe operation.
Level L3: the vehicle may complete all driving actions if conditions warrant. And has the function of reminding the driver. The driver does not need to monitor the driving environment, can be distracted but can not sleep, and can take over the vehicle at any time so as to deal with the situation that artificial intelligence possibly cannot deal with. For example: the laser radar is indispensable and supported by a high-precision map, and the laser radar is used as a central processing unit for processing more complex and larger information data.
Level L4: once the departure and destination are entered prior to departure, the vehicle can then be handed over entirely to the autonomous system. For example: laser, radar, high-precision map, central processing unit, intelligent road and traffic facilities.
Level L5: the autopilot level L5 is similar in definition to the level L4, with all driving actions done independently by the intelligent system. However, the difference between the two is that the automatic driving at the level of L4 is only applicable in some situations, typically on roads where the road conditions are very simple and standardized. And the level L5 requires that the automatic driving automobile can drive the automobile completely in any scene.
In the embodiment of the present application, the intelligent reservation interface of the autonomous vehicle may be used to reserve at least two types of autonomous vehicles, such as an autonomous bus, an autonomous taxi, and the like. That is, based on the intelligent reservation interface, a user may implement reservations for multiple types of autonomous vehicles. The automatic driving vehicle is used for traffic trip, and a user can realize a trip plan based on the automatic driving vehicle and go to a place within the service range of the automatic driving vehicle.
As an example, during a trip of a user, the trip route of the user relates to transfer of a plurality of types of automatic driving vehicles, namely, one type of automatic driving vehicle is used for driving a certain section of sub-trip route in the trip route, and when the driving is completed, the user transfers the next type of automatic driving vehicle to drive the next sub-trip route, such as an automatic driving bus, a transfer of an automatic driving taxi and a transfer of an automatic driving bus; then, the user can reserve the automatic driving vehicles of the three types (including the automatic driving bus, the automatic driving taxi and the automatic driving bus) through the intelligent reservation interface when going out, so that the user can transfer the automatic driving vehicles of the corresponding types when arriving at the corresponding transfer station.
In some embodiments, the terminal may present the intelligent reservation interface of the autonomous vehicle by: presenting a function entrance display area of the autonomous vehicle, and presenting an intelligent reservation function entrance in the function entrance display area; and presenting an intelligent reservation interface of the automatic driving vehicle in response to the triggering operation aiming at the intelligent reservation function entrance.
In some embodiments, the terminal may also present, in the function portal display area, another reservation function portal different from the intelligent reservation function portal, the other reservation function portal for reserving the target type of autonomous vehicle; when a trigger operation for the other reservation function portals is received, switching from presenting the intelligent reservation interface to presenting a reservation interface for the auto-driven vehicle of the reservation target type.
Here, the terminal presents a function entrance display area of the autonomous vehicle, which may be presented in a vehicle reservation interface of the autonomous vehicle, for example, in some interface integrating an autonomous vehicle reservation function. In practical applications, the function portal display area may present a reservation function portal, and may specifically include an intelligent reservation function portal for reserving at least two types of autonomous vehicles, and other reservation function portals for reserving a target type of autonomous vehicle, such as a reservation function portal for automatically driving a taxi, a reservation function portal for automatically driving a bus, and the like. The user can enter the corresponding reservation interface to reserve the automatic driving vehicle by triggering the corresponding reservation function entrance.
Continuously, when the terminal receives a triggering operation aiming at the intelligent reservation function entrance, responding to the triggering operation aiming at the intelligent reservation function entrance, and presenting an intelligent reservation interface of the automatic driving vehicle so that a user can reserve at least two types of automatic driving vehicles in the intelligent reservation interface.
Continuously, when the terminal receives a trigger operation for another reservation function portal (such as a reservation function portal of an autonomous taxi), switching from the urban and rural intelligent reservation interface to the reservation interface presenting an autonomous vehicle for a reservation target type in response to the trigger operation for the other reservation function portal.
By way of example, referring to fig. 4, fig. 4 is a schematic diagram of a functional portal display area provided by an embodiment of the present application. Here, the terminal displays the function entrance display area in the vehicle reservation interface of the autonomous vehicle, the function entrance display area displaying the intelligent reservation function entrance "intelligent reservation", the reservation function entrance of the autonomous taxi ", the reservation function entrance of the autonomous bus", the reservation function entrance of the autonomous bus "micro-cycle bus", as shown in a diagram a in fig. 4;
in response to a trigger operation for the intelligent reservation function entrance "intelligent reservation", presenting an intelligent reservation interface of the automatic driving vehicle, wherein a display style of the intelligent reservation function entrance is different from display styles of other reservation function entrances (such as a reservation function entrance "taxi" of the automatic driving taxi), and the intelligent reservation function entrance is in a selected state and can be displayed in a highlight mode, as shown in a diagram B in fig. 4; in response to a trigger operation for the reservation function entrance "taxi" of the automatically-driven taxi, the intelligent reservation interface is presented, and the display style of the reservation function entrance "taxi" of the automatically-driven taxi is switched to the display style of the reservation function entrance "taxi" of the automatically-driven taxi, as shown in fig. 4C, which is different from the display styles of the intelligent reservation function entrance "intelligent reservation" and other reservation function entrances (such as the reservation function entrance "bus" of the automatically-driven bus).
In some embodiments, the terminal may present the intelligent reservation interface of the autonomous vehicle by: presenting, in an application interface of a parent application, a functional portal for reserving a reservation applet for automatically driving a vehicle; and responding to the triggering operation aiming at the function entrance, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
Here, the reservation function of the autonomous vehicle is realized by a reservation applet of the autonomous vehicle. In practical applications, the terminal may present the function portal of the reservation applet for reserving the autonomous vehicle in an application interface of a parent application (e.g., an instant messaging client), and the user may enter the reservation applet through the function portal of the reservation applet to make a reservation for the autonomous vehicle through the reservation applet. And when the terminal receives a triggering operation aiming at the function entrance of the reservation applet, the reservation applet is operated through the current parent application program, and an intelligent reservation interface of the automatic driving vehicle is presented.
By way of example, referring to fig. 5, fig. 5 is a schematic presentation diagram of an intelligent reservation interface provided by an embodiment of the present application. Here, the terminal presents the functional portal "automatic driving vehicle reservation" of the reservation applet in the application interface of the parent application, as shown in a diagram a in fig. 5; in response to a triggering operation of "autonomous vehicle reservation" for the functional portal of the reservation applet, an intelligent reservation interface of the autonomous vehicle is presented, as shown in fig. 5B.
In some embodiments, the terminal may present the intelligent reservation interface of the autonomous vehicle by: receiving a scanning operation triggered by a parent application program aiming at a graphic code, wherein the graphic code corresponds to a reservation applet reserving an automatic driving vehicle; in response to the scanning operation, the reservation applet is run through the parent application and an intelligent reservation interface for the autonomous vehicle is presented.
In practical applications, the operation of the reservation applet may also be performed by scanning a graphic code corresponding to the reservation applet reserving the autonomous vehicle. When the terminal receives scanning operation aiming at the graphic code triggered by the parent application program, the terminal responds to the scanning operation, runs the reservation applet through the current parent application program, and simultaneously presents an intelligent reservation interface of the automatic driving vehicle.
By way of example, referring to fig. 6, fig. 6 is a schematic presentation diagram of an intelligent reservation interface provided by an embodiment of the present application. Here, a scanning function entry "scan" for scanning graphic codes is provided in the parent application of the terminal, as shown in a diagram a in fig. 6; responding to a trigger operation of scanning for the scanning function entrance, presenting a scanning interface for scanning the graphic code, wherein a scanning frame is displayed in the scanning interface, and scanning the graphic code of the reserved applet through the scanning frame, as shown in a diagram B in FIG. 6; in response to a scanning operation for the graphic code of the reservation applet, a smart reservation interface for the autonomous vehicle is presented, as shown in figure 6 at C.
In practical applications, when the reserved applet is reserved for the first time, the code file of the applet needs to be loaded in advance to realize the running of the applet.
Step 102: and receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface, and presenting a corresponding travel route based on the travel starting point and the travel terminal point.
The travel route is composed of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle.
Here, after the terminal presents the smart reservation interface, the user may input a travel start point and a travel end point of the trip in the smart reservation interface, thereby implementing a reservation of the autonomous vehicle for a transportation trip based on the travel start point and the travel end point. And the terminal receives a travel starting point and a travel terminal point input based on the intelligent reservation interface, and generates and presents a corresponding travel route based on the travel starting point and the travel terminal point.
The travel route is composed of at least two successive sub-travel routes, each sub-travel route corresponds to one type of automatic driving vehicle, and when the corresponding sub-travel route is finished based on the corresponding type of automatic driving vehicle, transfer of the next type of automatic driving vehicle is carried out at a successive position (namely a transfer station) so as to continue to travel the following sub-travel route. As an example, the travel route includes, in a travel order from a travel starting point to a travel ending point: sub-travel route 1, sub-travel route 2, and sub-travel route 3, the types of the respective corresponding autonomous vehicles are: sub-travel route 1-driving bus automatically, sub-travel route 2-driving taxi automatically, sub-travel route 3-driving bus automatically. A user takes an automatic driving bus at a trip starting point to drive according to the sub-trip route 1; when the sub-trip route 1 finishes driving, an automatic driving taxi is transferred at a junction (namely a transfer station) with the sub-trip route 2, so that the automatic driving taxi is taken to drive according to the sub-trip route 2; when the travel of sub-travel route 2 is finished, the automatic driving bus is transferred at the junction (i.e. transfer station) with sub-travel route 3, so that the automatic driving bus is taken to travel according to sub-travel route 3 to reach the travel destination.
In some embodiments, the terminal may receive the travel starting point input based on the intelligent reservation interface by: receiving a positioning operation aiming at the current position at an intelligent reservation interface; responding to the positioning operation, and receiving a travel starting point positioned based on the positioning operation; the trip starting point is a target driving station which is closest to the current position and obtained by distance positioning operation in the driving stations corresponding to the automatic driving vehicle.
Here, the trip starting point may be obtained based on a positioning operation. In practical applications, the positioning operation may be an automatic positioning operation, for example, when the terminal loads and presents an intelligent reservation interface of an autonomous vehicle, the positioning operation is automatically performed, so as to receive a trip starting point obtained based on the automatic positioning operation; the positioning operation may also be a manual positioning operation, for example, a positioning function item may be presented in a reservation interface of an autonomous vehicle, and in response to a trigger operation for the positioning function item, the terminal performs a positioning operation on a current position, so as to receive a travel starting point obtained based on the manual positioning operation.
In some embodiments, when no driving station with the distance to the current position lower than the service distance threshold value exists in the driving stations corresponding to the automatic driving vehicle, presenting service prompt information; the service prompt information is used for prompting that the current position is not in the service range of the automatic driving vehicle.
In practical applications, the service range of the autonomous vehicle may be fixed and limited, and thus there may be cases where the user is located outside the service range of the autonomous vehicle. Here, for a driving station (or a service station) of the autonomous vehicle, a service range corresponding to the driving station may be set, for example, the service range may be a circular area with the driving station as a center and a service distance threshold (for example, 2 km) as a radius. And when the current position of the user is successfully positioned, namely the current position of the user is obtained, determining that no driving station with the distance from the current position being lower than the distance threshold exists in the driving stations corresponding to the automatic driving vehicle, and presenting service prompt information to prompt that the current position is not in the service range of the first automatic driving vehicle based on the service prompt information.
By way of example, referring to fig. 7, fig. 7 is a schematic presentation diagram of an intelligent reservation interface of an autonomous vehicle provided by an embodiment of the present application. Here, as shown in a diagram in fig. 7, an intelligent reservation interface of an autonomous vehicle is also presented in which a travel starting point, i.e., "common X major east", is obtained by a positioning operation; as shown in fig. 7B, when there is no driving station corresponding to the autonomous vehicle, where the distance from the current position is less than the service distance threshold, the travel starting point cannot be obtained through positioning operation, at this time, the position for presenting the travel starting point is in a default state, that is, a state of "please select the starting point", and a service prompt "the current position is not in the service range of the autonomous vehicle" is presented.
In some embodiments, the terminal may receive the travel starting point input based on the intelligent reservation interface by: displaying a starting point input function item and a corresponding default travel starting point in an intelligent reservation interface; receiving a target starting point input based on the starting point input function item, and presenting at least one candidate starting point which is associated with the target starting point and is used for selection, wherein the at least one candidate starting point comprises a travel starting point; and responding to the selection operation aiming at the travel starting point, receiving the input travel starting point, and replacing the presented default travel starting point with the travel starting point.
Here, the terminal may present a start point input function item in the smart reservation interface of the autonomous vehicle, where the start point input function item may exist in the form of a text input box or a text input button, or may exist in the form of a voice input key, a touch button, or the like. In practical applications, a default travel starting point may also be presented, where the default travel starting point is obtained through an automatic positioning operation, and may also be determined according to user habits, such as a travel starting point with the highest user utilization rate.
And when the travel starting point really needed by the user is not consistent with the default travel starting point, the default starting point can be modified. Specifically, the user may input a target starting point based on the starting point input function item, and after the terminal receives the input target starting point, at least one candidate starting point associated with the target starting point is presented for selection, where the at least one candidate starting point includes a travel starting point. When a selection operation for the travel starting point is received, the input travel starting point is received in response to the selection operation, and the presented default travel starting point is replaced by the selected travel starting point, so that the default travel starting point is changed.
As an example, referring to fig. 8, fig. 8 is an input schematic diagram of a trip starting point provided in an embodiment of the present application. Here, the terminal presents a start point input function item in the form of a text input box in the intelligent reservation interface, and presents a corresponding default travel start point "prev X major east", as shown in a of fig. 8; receiving a target starting point 'happy avenue west' based on the starting point input function item, and presenting at least one candidate starting point for selection, including 'happy avenue station', 'happy avenue cell east gate station', etc., associated with the target starting point, as shown in a B diagram in fig. 8; in response to a selection operation for the candidate starting point "happy big road station", the presented default travel starting point "common X big road east" is replaced with the travel starting point "happy big road station", as shown in fig. 8C.
In some embodiments, the terminal may receive the travel destination input based on the smart booking interface by: displaying a terminal input function item in an intelligent reservation interface; receiving a target terminal input based on a terminal input function item, and presenting at least one candidate terminal which is associated with the target terminal and is used for selection, wherein the at least one candidate terminal comprises a trip terminal; and responding to the selection operation aiming at the travel terminal, and receiving the input travel terminal.
Here, the terminal may present a terminal input function item in the reservation interface of the autonomous vehicle, where the terminal input function item may exist in the form of a text input box or a text input button, or may exist in the form of a voice input key, a touch button, or the like. In practical applications, the user may enter a desired target endpoint based on the endpoint entry function. When the terminal receives a target end point input based on the end point input function item, at least one candidate end point which is associated with the target end point and is used for selection is presented, and the candidate end point can be a target travel station which is in a travel station corresponding to the first automatic driving vehicle (namely an operation station corresponding to the first automatic driving vehicle) and has a distance with the target station not exceeding a distance threshold value. Therefore, the user only needs to input the terminal required by the user, the input of the trip terminal of the automatic driving car appointment service can be realized, and the user operation is facilitated.
By way of example, referring to fig. 9, fig. 9 is a schematic input diagram of a trip endpoint provided in an embodiment of the present application. Here, the terminal presents a terminal input function item in the form of a text input box in the intelligent reservation interface, as shown in a diagram a in fig. 9; receiving a target destination of 'xuan X dao xi' based on a destination input function item, and presenting at least one candidate destination associated with the target destination for selection, including 'xuan X dao station', 'xuan X dao gas station', and the like, as shown in a B diagram in fig. 9; in response to a selection operation for the candidate endpoint "xuan X avenue station", a travel endpoint "xuan X avenue station" is presented, as shown in fig. 9C.
In some embodiments, the terminal further presents route generation function items corresponding to a travel starting point and a travel ending point; correspondingly, the terminal can present a corresponding travel route based on the travel starting point and the travel end point by the following method: responding to the trigger operation aiming at the route generation function item, and acquiring the portrait information of the current user; and presenting a travel route matched with the portrait information based on the travel starting point and the travel terminal.
Here, after receiving the input travel starting point and travel end point, the end point may present corresponding route generation function items; and when a triggering operation aiming at the route generation function item is received, generating and presenting a corresponding travel route based on the travel starting point and the travel end point. Specifically, in the process of generating the travel route, portrait information of the current user may be obtained, for example, a preference of the user for the travel route, such as a preference of the user for selecting a "shortest time-consuming" travel route, or a preference for selecting a "lowest cost" travel route, or a preference for selecting a "least walking" travel route; therefore, after the portrait information of the current user is obtained, the travel route matched with the portrait information is presented, for example, the user prefers to select the travel route with the shortest time, and the travel route with the shortest time is generated and presented at the moment.
By way of example, referring to fig. 10, fig. 10 is a presentation schematic diagram of a travel route provided by an embodiment of the present application. Here, the terminal presents a corresponding route generation function item "route generation" after receiving the input travel starting point and travel ending point, as shown in a diagram in fig. 10; in response to the trigger operation for the route generation function item "route generation", a travel route is presented based on the travel starting point and the travel ending point, as shown in fig. 10B, and the travel route matches with the portrait information of the current user (the travel route that is preferred to be selected as "shortest time-consuming"), and is the travel route that is "shortest time-consuming".
In some embodiments, the terminal may present the corresponding travel route based on the travel starting point and the travel ending point by: presenting at least two candidate travel routes for selection and route identifications corresponding to the candidate travel routes based on a travel starting point and a travel ending point; wherein the route identification is used for indicating route characteristics of the corresponding candidate travel route; and responding to the route selection operation based on the route identification, and presenting the selected candidate travel route as the travel route.
Here, the terminal may generate and present at least two alternative candidate travel routes, which may be reachable routes between the travel start point and the travel end point, based on the travel start point and the travel end point after receiving the input travel start point and travel end point. Meanwhile, route identifiers corresponding to the candidate travel routes can be presented, the route identifiers are used for indicating route characteristics of the corresponding candidate travel routes, and the route characteristics of the travel routes can comprise shortest time-consuming routes, lowest cost routes, least walking routes and the like. Therefore, the user can conveniently select a proper travel route according to the need based on the route identification. And when a route selection operation is received, responding to the route selection operation, and presenting the selected candidate travel route as a travel route.
By way of example, referring to fig. 11, fig. 11 is a presentation schematic diagram of a travel route provided by an embodiment of the present application. Here, after receiving the input travel starting point and travel end point, the terminal generates and presents three candidate travel routes (including route 1, route 2, and route 3) for selection based on the travel starting point and travel end point, and presents route identifiers corresponding to the candidate travel routes, that is, route 1-takes the shortest time, route 2-costs the lowest, and route 3-walks the least, as shown in a diagram in fig. 11; in response to the route selection operation for "route 1", the "route 1" is presented as the travel route, as shown in a diagram B in fig. 11.
In some embodiments, the smart reservation interface includes a map display area; correspondingly, the terminal can present a corresponding travel route based on the travel starting point and the travel end point by the following method: and displaying the starting point of travel, the end point of travel and the indication icons corresponding to the transfer stations among the sub-travel routes in the map display area, and connecting the corresponding indication icons through connecting lines according to the direction from the starting point of travel to the end point of travel through the transfer stations so as to display the travel routes.
Here, the intelligent reservation interface presented by the terminal includes a map display area for displaying the travel route. Specifically, in the map display area, an indication icon corresponding to the travel starting point, the travel destination, and the transfer station between the sub travel routes may be presented, for example, the indication icon is displayed in a manner of a drawing pin, and the corresponding indication icon is connected by a connecting line according to a direction from the travel starting point to the travel destination through the transfer station, so as to present the travel route.
By way of example, referring to fig. 12, fig. 12 is a presentation schematic diagram of a travel route provided by an embodiment of the present application. Here, the intelligent reservation interface presented by the terminal includes a map display area, in which a travel starting point, a travel ending point, and pins corresponding to transfer sites between the sub-travel routes are respectively displayed, where display styles of the travel starting point and the travel ending point are different from display styles of the pins of the transfer sites. And connecting corresponding drawing pins through connecting lines according to the direction from the travel starting point to the travel terminal point through the transfer station to obtain and present a travel route. Here, the travel route includes 3 sub-travel routes, i.e., sub-travel route 1, sub-travel route 2, and sub-travel route 3, each of which may be displayed by a different presentation color.
In some embodiments, the smart reservation interface includes an information display area; the terminal can present route information of each sub-travel route included in the travel route and a viewing function item corresponding to each sub-travel route in the information display area; and when a trigger operation of a viewing function item for the target sub-travel route is received, presenting route detail information of the target sub-travel route.
Here, the intelligent reservation interface presented by the terminal includes an information display area, and the information display area is used for displaying route information of each sub-travel route included in the travel route; and meanwhile, presenting the viewing function items corresponding to the sub-travel routes. And when a trigger operation of a viewing function item for the target sub-travel route is received, presenting route detail information of the target sub-travel route.
By way of example, referring to fig. 13, fig. 13 is a presentation schematic diagram of an information display area provided by an embodiment of the present application. Here, the intelligent reservation interface presented by the terminal includes an information display area, in which route information of a sub-travel route "a place-B place", a sub-travel route "B place-C place", and a sub-travel route "C place-D place" is presented, and the route information may include a travel distance of the sub-travel route, the number of passing travel stations, an amount of money spent, a time-consuming duration, and the like, and a corresponding viewing function item "view", as shown in a diagram in fig. 13; in response to a trigger operation of the view function item "view" for the sub-travel route "point a-point B", route detail information of the sub-travel route "point a-point B" is presented, including a travel distance of 3km, the number of passing travel stations "2 stations", and corresponding travel stations "station X, station Y", a spent amount of 10 energy coins, a time-consuming duration of 8 minutes, and the like, as shown in a diagram B in fig. 13.
In some embodiments, the terminal may present a first route display card, and present route information of the travel route in the first route display card; when the travel routes are at least two, the first route display card slides out in response to the sliding operation of the first route display card, and the second route display card on the lower layer of the first route display card is presented, so that route information of other travel routes different from the travel routes is presented through the second route display card.
Here, the terminal may display the route information of the travel route by means of a route display card, that is, the route information of the travel route is displayed by means of a first route display card. When the travel routes are at least two, the displayed route information of the travel routes can be switched by sliding the route display card. Specifically, in response to the sliding operation for the first route display card, the first route display card is slid out, and the second route display card at the lower layer of the first route display card is presented, so that route information of other travel routes different from the travel route is presented through the second route display card.
By way of example, referring to fig. 14, fig. 14 is a schematic representation of a route display card provided by an embodiment of the present application. Here, the terminal displays route information of "route 1" including a walking length of 700 meters, 9 stations in total for passing stations, 20 energy bills, 35 minutes consumed, and the like through the first route display card, as shown in a diagram in fig. 14; in response to the sliding operation for the first route display card, the first route display card is slid out, a second route display card located at the lower layer of the first route display card is presented, and route information of "route 2" is presented through the second route display card, including a walking length of 900 meters, 10 stations in total passed through the driving station, 25 energy coins spent, 40 minutes consumed, and the like, as shown in fig. 14B.
In some embodiments, the terminal may present the corresponding travel route based on the travel starting point and the travel ending point by: acquiring service information of an automatic driving vehicle and road information in a service range of the automatic driving vehicle; determining at least two reachable candidate travel routes based on the travel starting point and the travel end point by combining service information and road information; inputting each candidate trip route into a neural network model, and predicting time-consuming duration through the neural network model to obtain time-consuming duration corresponding to each candidate trip route; and taking the candidate travel route with the shortest time as the travel route, and presenting the travel route.
Here, when a corresponding travel route is generated based on the travel starting point and the travel ending point, service information of the autonomous vehicle, such as a vehicle type included in the autonomous vehicle, a planned route of each vehicle, a stop station, a pricing method, and the like, is acquired, and then road information within a service range of the autonomous vehicle, such as a number limit area, a road closure area, a travel limit area, a traffic jam area, and a traffic accident occurrence area, may be specifically expressed in the form of a longitude and latitude matrix.
And then determining at least two candidate travel routes which can be reached from the travel starting point to the travel destination by combining the service information and the road information. And then, respectively inputting the candidate trip routes into the neural network model, and predicting the time-consuming duration through the neural network model to obtain the time-consuming duration corresponding to each candidate trip route, so that the candidate trip route with the shortest time-consuming duration is taken as the generated trip route and presented.
In some embodiments, the terminal may obtain the time-consuming duration corresponding to each candidate travel route by: determining a predictable score of each candidate travel route, wherein the predictable score is used for indicating the probability of the target scene appearing on the road through which the corresponding candidate travel route passes; taking a candidate travel route of which the predictable score does not exceed the score threshold value in the at least two candidate travel routes as a first candidate travel route, and taking a candidate travel route of which the predictable score exceeds the score threshold value in the at least two candidate travel routes as a second candidate travel route; and predicting the time-consuming duration of the first candidate trip route through the first neural network model to obtain corresponding time-consuming duration, and predicting the time-consuming duration of the second candidate trip route through the second neural network model to obtain corresponding time-consuming duration so as to obtain the time-consuming duration corresponding to each candidate trip route.
Here, when predicting each candidate travel route in a time-consuming period, a predictable score of each candidate travel route may be determined first, where the predictable score is used to indicate a probability that a target scene, such as a probability of a travel burst scene, a probability of a travel jam scene, and the like, appears on a road through which the corresponding candidate travel route passes. Specifically, statistical processing may be performed on the probability of the road trip target scene, for example, the number of times of occurrence of the target scene in a certain time period of a certain road and the statistical number of times are counted, so as to determine the probability of occurrence of the target scene in the time period of the corresponding road, and the like; a neural network model for predicting a predictable score of a travel route may also be trained in advance, so that a predictable score of each candidate travel route is predicted based on the trained neural network model.
And based on the predictable scores of the candidate travel routes, taking the candidate travel route of which the predictable score does not exceed the score threshold value in the at least two candidate travel routes as a first candidate travel route, and taking the candidate travel route of which the predictable score exceeds the score threshold value in the at least two candidate travel routes as a second candidate travel route. Then, the time-consuming duration of the first candidate trip route is predicted through a first neural network model (such as an LSTM model) to obtain corresponding time-consuming duration, and the time-consuming duration of the second candidate trip route is predicted through a second neural network model (such as a Markov model) to obtain corresponding time-consuming duration, so that the time-consuming duration corresponding to each candidate trip route is obtained.
Step 103: when a reservation instruction of the autonomous vehicle is received, at least two types of autonomous vehicles corresponding to the at least two sub-travel routes are reserved.
Here, the terminal reserves an autonomous vehicle related to the travel route after generating a corresponding travel route based on the input travel starting point and travel ending point. Specifically, when a reservation instruction for an autonomous vehicle is received, at least two types of autonomous vehicles corresponding to at least two sub-travel routes are reserved.
In some embodiments, the terminal may present a reservation function item for reserving an autonomous vehicle corresponding to the travel route; when a trigger operation for the reservation function item is received, a reservation instruction of the autonomous vehicle is received. Referring to fig. 15, fig. 15 is a schematic diagram of receiving a reservation instruction according to an embodiment of the present application. Here, the terminal presents a reservation function item "immediate reservation" for reserving an autonomous vehicle corresponding to the travel route after generating the corresponding travel route based on the input travel starting point and travel ending point; when a trigger operation for the reservation function item is received, a reservation instruction of the autonomous vehicle is received.
As an example, the travel route includes, in a travel order from a travel starting point to a travel ending point: sub-travel route 1, sub-travel route 2, and sub-travel route 3, the types of the respective corresponding autonomous vehicles are: sub-travel route 1-driving bus automatically, sub-travel route 2-driving taxi automatically, sub-travel route 3-driving bus automatically. In this way, when a reservation instruction for the autonomous vehicles is received, the autonomous vehicles corresponding to the sub-travel routes are reserved, including the autonomous bus corresponding to sub-travel route 1, the autonomous taxi corresponding to sub-travel route 2, and the autonomous bus corresponding to sub-travel route 3.
After the automatic driving vehicle is successfully reserved, the user can take the automatic driving bus at the starting point of the trip to drive according to the sub-trip route 1; when the sub-trip route 1 finishes driving, an automatic driving taxi is transferred at a junction (namely a transfer station) with the sub-trip route 2, so that the automatic driving taxi is taken to drive according to the sub-trip route 2; when the travel of sub-travel route 2 is finished, the automatic driving bus is transferred at the junction (i.e. transfer station) with sub-travel route 3, so that the automatic driving bus is taken to travel according to sub-travel route 3 to reach the travel destination.
By applying the embodiment of the application, in an intelligent reservation interface of automatic driving, an input travel starting point and an input travel ending point are received, and a corresponding travel route is generated and presented based on the travel starting point and the travel ending point, wherein the travel route is composed of at least two successive sub-travel routes, each sub-travel route corresponds to one type of automatic driving vehicle, and when a reservation instruction of the automatic driving vehicle is received, at least two types of automatic driving vehicles corresponding to the at least two sub-travel routes are reserved; therefore, the reservation of various types of automatic driving vehicles related to corresponding travel routes is realized aiming at the input travel starting point and the travel terminal point, and the reservation can be realized only by triggering reservation instructions by a user, so that the user operation is reduced, and the efficiency of automatic driving travel is improved.
An exemplary application of the embodiments of the present application in a practical application scenario will be described below.
The following first explains terms related to embodiments of the present application, including:
1) automatic driving and reserving travel: the automatic driving technology is applied to vehicles, and passenger carrying operation of taxi taking or online taxi appointment is carried out on public roads or specific areas of cities by using vehicle carriers such as taxies, buses and buses.
2) Robotaxi: the taxi is automatically driven, and the taxi carries out passenger carrying operation of taxi taking or taxi booking in a public road or a specific area of a city by using an automatic driving technology.
3) Robobus: the automatic driving bus and the automatic driving technology for vehicle operation are used for carrying out passenger carrying operation of fixed lines and stations on public roads in cities.
4) RNN: the recurrent neural network is a kind of artificial neural network, and is mainly characterized in that connections among all nodes form a corresponding directed graph along a time sequence. Thus, the RNN is able to exhibit dynamic behavior in the time dimension. RNNs derived from feedforward neural networks can process the input sequence using their own memory.
5) LSTM: the long-term and short-term memory network is a cyclic neural network structure and can solve the problem of gradient disappearance possibly encountered by the traditional cyclic neural network. LSTM has a chain structure similar to RNN, but the repeating modules have a different structure. An LSTM unit consists of an input gate, an output gate and a forgetting gate, can memorize values in any time interval, and regulates the flow of the values by three gates.
The reserved travel of the autonomous vehicle in the related art is a reserved travel of a single vehicle, such as a reserved travel of a single autonomous taxi Robotaxi, a reserved travel of a single autonomous bus Robobus, and the like. If the transfer of the transportation means needs to be involved between the departure point and the destination of the passenger, the passenger needs to perform the inquiry of the transportation means in the shift, the inquiry of the transfer point in the connection and the like by himself, so that the operation of the user is complicated, and the travel efficiency of automatic driving is low.
Based on this, the embodiment of the application provides a vehicle reservation method based on automatic driving, and the one-stop travel reservation system covers various transportation means such as an automatic driving taxi, an automatic driving microcirculation bus, an automatic driving bus and the like. The method and the system integrate one-key transfer planning of various vehicles such as automatic taxis, automatic driving microcirculation buses and automatic driving buses, and provide functions such as travel reservation service, travel route scheme planning, one-code passing and one-key payment by taking the small programs as application carriers.
In practical application, in the aspect of one-key transfer planning reservation of automatic driving vehicles such as automatic driving taxies, automatic driving microcirculation buses and automatic driving buses, passengers only need to input a boarding point and a disembarking point in a reservation small program, and a system background can automatically plan the optimal transfer time, transfer points and transfer sequencing among different automatic driving vehicles according to the running condition and the shift of the current automatic driving vehicle by using a deep learning algorithm.
The vehicle reservation method based on automatic driving provided by the embodiment of the application has the advantages that the main application scene is that the passenger carries out automatic driving travel reservation, and the reservation can be realized through a reservation small program or through an independent application client. Next, a description will be first given, from a product side, of an automatic driving-based vehicle reservation method provided in an embodiment of the present application, including:
referring to fig. 8 and 9, here, the passenger may select a travel starting point and a travel ending point based on the smart booking interface, that is, the passenger selects a getting-on/off point in the column of the "smart booking". After the passenger selects the travel starting point and the travel terminal, the passenger clicks the button of 'generating the route by one key' to generate the transfer scheme of the travel route by one key.
Here, when the transfer plan of the travel route is generated, the system background automatically plans the optimal travel route and generates a recommended transfer plan. In practical applications, transfer schemes include transfer routes (e.g., autonomous bus → autonomous taxi → autonomous microcirculation bus), transfer vehicles, transfer stops, and the like.
Referring to fig. 13, here, the specific route of the travel route is shown in detail, and key information such as transportation means, starting point and ending point, estimated time consumption, license plate number and the like for each sub-route transfer is displayed, so that passengers can be clear about route planning. If the first step is to automatically drive the microcirculation bus, the second step is to automatically drive the taxi, and the third step is to automatically drive the bus, and display the time consumption and the transfer station for accurate transfer.
Referring to fig. 12, here, a map panel is provided above a page of a reservation interface of an autonomous vehicle, to visually display a path plan of a travel route, a start point and end point pin, a transfer station, and the like. Meanwhile, the driving routes corresponding to different vehicles are represented by different color sections, and transfer stations are marked on the map, so that passengers can clearly know the transfer routes and the stations.
The following is a description of the automated driving-based vehicle service method provided by the embodiment of the present application from the technical side. Referring to fig. 16, fig. 16 is a schematic flowchart of an automatic driving-based vehicle reservation method according to an embodiment of the present application. The integrated reservation travel service of the automatic driving taxi, the automatic driving bus and the automatic driving microcirculation bus is provided by utilizing the optimized integrated automatic driving multi-vehicle transfer scheme generation technology. The method comprises the following steps:
step 201: and the terminal runs the reservation applet, presents the taxi taking home page (namely the intelligent reservation interface), and sends the user position to the applet background.
Step 202: and the small program background sends the user position to the automatic driving operation platform to realize data transfer.
Step 203: the automatic driving operation platform judges whether the operation range is within 3km from the station, if so, step 204 is executed, and if not, step 208 is executed.
Step 204: and the small program background returns the notification message of 'within the operation range' to the terminal to realize data transfer.
Step 205: the terminal keeps presenting the taxi pick-up home page (i.e. the intelligent booking interface).
Step 206: and receiving a click operation aiming at the get-on point selection button, and sending a request for acquiring the get-on point list to the small program background.
Step 207: and after receiving the request, the small program background sends an acquisition request of the boarding point list to the automatic driving operation platform.
Step 208: and the small program background sends a notification message of 'not in the operation range' to the terminal, so that data transfer not in the operation range is realized.
Step 209: and the terminal receives the notification message of 'not in the operation range' and presents a popup prompt page not in the operation range.
Step 210: and the automatic driving operation platform maintains and dynamically updates the getting-on point list data in real time.
Step 211: and issuing the updated boarding point list to the small program background through the boarding point list data issuing interface.
Step 212: and the small program background receives and dynamically updates the boarding point list, and transfers the boarding point list to the terminal.
Step 213: the terminal receives and presents the boarding point list, and the passenger selects the required boarding point from the boarding point list.
Step 214: and the terminal receives and presents the selected boarding point.
Step 215: and receiving a click operation aiming at the get-off point selection button, and sending a request for obtaining the get-off point list to the small program background.
Step 216: and after receiving the request, the small program background sends a get-off point list acquisition request to the automatic driving operation platform.
Step 217: and the automatic driving operation platform maintains and dynamically updates the get-off point list data in real time.
Step 218: and issuing the updated departure point list to the small program background through a departure point list data issuing interface.
Step 219: and the small program background receives and dynamically updates the get-off point list and transfers the get-off point list to the terminal.
Step 220: and the terminal receives and presents the get-off point list, and the passenger selects a required get-off point from the get-off point list.
Step 221: and the terminal receives and presents the selected get-off point.
Step 222: and the terminal receives the selection operation aiming at the number of people and the click operation of 'checking a route', and uploads the number of people, the getting-on point and the getting-off point to the small program background.
Step 223: and the small program background generates a travel route (namely a recommended scheme) and transmits the travel route to the terminal.
Step 224: a viewing page of the recommendation is presented.
Step 225: a selection operation for a target solution is received.
Step 226: the first traffic trip page of the target project is entered.
Step 227: and entering the next traffic travel page of the target scheme.
Step 228: the last trip page (if any) into the target solution.
Step 229: and presenting a prompt interface of the end of the travel.
Step 230: and presenting a settlement interface.
Step 231: and presenting an editing interface of the evaluation and the suggestion.
Step 232: a cancel journey function item is presented.
In practical application, the travel reservation mode (no-connection transfer) of the independent automatic bus or independent automatic taxi is mainly due to the current limitation of the automatic driving technology, the processing of special road conditions of an open running road (such as an urban road) has limitation in decision, if the conditions of congestion, accidents, the condition that a sweeper slowly travels in the front lane, a road is closed and the like are met, the automatic bus cannot process the special road conditions as flexibly as a human driver, and the automatic bus often adopts a conservative path planning strategy, so that the traveling time and the route uncertainty are easily caused by the influence of the special road conditions. Uncertainty in the autopilot travel time and route results in difficulties in planning a transfer solution.
Since a transfer for transfer requires a fixed shift and a relatively fixed, predictable travel time in order to schedule the transfer of vehicles at an accurate predicted arrival time at the transfer point. For example, if the boarding point of the passenger is the a place and the destination is the C place, if the operating area of the C place cannot be covered by the automatic driving taxi, the B point needs to be added between the a point and the C point as a transfer point, the passenger adopts a trip plan of the automatic driving taxi in the process of the a → C point, and the process of the C → B adopts another mode of automatically driving a vehicle. Before the passenger goes out, it is necessary to plan what shift (departure time) the passenger should take at point C, and more accurate travel time at point a → C is required.
Based on the above, the embodiment of the application provides a vehicle reservation method based on automatic driving so as to realize planning of various transfer schemes for connection of automatic driving vehicles. The vehicle reservation method based on automatic driving provided by the embodiment of the application is divided into the following four parts, as shown in fig. 17, and fig. 17 is a schematic flow chart of the vehicle reservation method based on automatic driving provided by the embodiment of the application, and includes:
step 301: and acquiring a data set of the integrated trip of the automatic driving multiple vehicles.
Here, in a practical application scenario, the data set may include:
on the user side: latitude and longitude of a starting point and a finishing point of a user, waiting time of the user and the highest price accepted by the user;
in the aspect of vehicles: the method comprises the following steps of (1) current longitude and latitude of a vehicle, the vehicle speed, the longitude and latitude and pricing modes of all parking stations of a taxi, the longitude and latitude, route planning and pricing modes of all parking stations of a bus, the longitude and latitude, all route planning and pricing modes of all parking stations of a microcirculation bus, and the empty running time and distance of the taxi;
on the road side: the traffic accident detection method comprises a number limiting area, a road sealing area, a limited driving area, a congestion area and an area where traffic accidents happen, wherein the number limiting area, the road sealing area, the limited driving area, the congestion area and the area where the traffic accidents happen are expressed in a longitude and latitude matrix mode.
Step 302: and (4) listing transfer schemes (namely target travel routes) according to the driving stations of the vehicles.
In an actual application scenario, when a user selects a starting point a and a destination D, a specific transfer scheme from a to D of the user needs to be generated, for example: taking taxis from A to B, and consuming time a; taking a bus from B to C, and consuming time B; taking a micro-circulation bus from C to D, and consuming time C; the total time of the whole process is z.
Step 303: and obtaining a time sequence (namely the candidate travel route) to be predicted.
In the embodiment of the application, data are input into the data set, the predicted time consumption is a/b/c/z through Fourier transformation and pruning and combining an LSTM model and a Markov algorithm, then the predicted time consumption is converted into a specific transfer point of a user trip, the time consumption of each section of trip and the total time consumption, and finally a transfer scheme of the travel route is generated. Specific implementations of the LSTM model and markov algorithm are described next.
In the application, considering randomness and time relevance of special road conditions such as congestion, accidents, motor sweeper slow running, road closure and the like, the predictability of transfer decision in a certain area, namely the above predictable score, is defined by using entropy of a demand time series. The predictability of the transfer decision is a value between 0 and 1, and the greater the predictability of the transfer decision indicates that the transfer decision can be predicted more, and the predictability of the transfer decision can be used for measuring the traffic rate of the area. The predictability of the maximum transfer decision captures the time correlation degree of the time sequence of the road condition of the region in the time period by measuring the regularity of the traffic condition. For example, a maximum transfer decision predictability of 80% indicates that the prediction accuracy for a particular road condition is high about 80% of the time; and about 20% of the time, the road condition can be said to be completely random. For most regions, the special road conditions under the condition of automatic driving are influenced by a certain degree of randomness (for example, traffic jam caused by traffic accidents) and a certain degree of regularity (for example, road congestion exists in the rush hours in the evening of a working day, and urban road sweeper vehicles have related working periods), and the time consumption prediction can be more accurate by comprehensively considering the influence factors.
Aiming at the form characteristics of the automatic driving technology, in the application scene of multi-vehicle transfer, the transfer algorithm performs stage classification according to the predictability of transfer decision, and different neural network models are respectively applied, so as to obtain the maximum time-consuming prediction precision, see fig. 18, where fig. 18 is a schematic diagram of a prediction flow of the time-consuming duration of a candidate travel route provided by the embodiment of the present application, and the prediction flow includes: step 401, acquiring a data set; step 402, performing Fourier transform on an input data set, and determining a candidate travel route to be predicted; step 403, determining the predictability (i.e. the above-mentioned predictable score) of the transfer decision corresponding to each candidate travel route; step 404, when the predictability of the transfer decision does not exceed the threshold, selecting an LSTM model to perform time-consuming prediction so as to output a time-consuming prediction result; and 405, when the predictability of the transfer decision exceeds a threshold value, selecting a Markov algorithm to perform time-consuming prediction so as to output a time-consuming prediction result.
Specifically, in the embodiment of the present application, the input data includes the following data:
(a) on the user side: latitude and longitude of a starting point and a finishing point of a user, waiting time of the user and the highest price accepted by the user; (b) in the aspect of vehicles: the method comprises the following steps of (1) current longitude and latitude of a vehicle, vehicle speed, longitude and latitude of all stations of a taxi, longitude and latitude and route planning of all stations of a bus, longitude and latitude and all route planning of all stations of a microcirculation bus, and taxi empty driving time and distance; (c) on the road side: the traffic accident detection method comprises a number limiting area, a road sealing area, a limited driving area, a congestion area and an area where the traffic accident occurs.
In order to reduce the number of possible parameters for finding the best parameters, a standard fourier transform is first applied to the demand time series mentioned above (i.e. the above listed target travel route), and the periodicity of the occurrence of a special scene in the traffic travel is identified. The formula for the fourier transform is as follows:
here, i is a time sequence, N is the length of the time sequence, N is an iteration of the time sequence, and the periodicity rules of the special scene are determined to be consistent with each other through fourier transform in the traffic travel process under the automatic driving background.
After fourier transformation (including euclidean time pruning, euclidean cost pruning, and semi-euclidean perception pruning), the enumerated transfer routes (i.e., the target travel route) are pruned as much as possible, and finally a time series (i.e., the candidate travel route) to be subjected to the time-consuming duration prediction is output.
And then judging the predictability of the transfer decision of the time sequence to be predicted (namely the predictable scores of the candidate travel routes), and selecting an LSTM model or a Markov algorithm to predict the time-consuming duration according to the predictability of the transfer decision so as to output a prediction result of the time-consuming duration. Transfer decision predictability Y may be determined by the following equation:
here, the first and second liquid crystal display panels are,
represents a weight value, b(j)Representing the offset value, SjIs a function of the activation of the function,
indicating input variables, demand by autonomous vehicle
And (4) forming.
As the LSTM is good at capturing long-term dependence in sequence modeling, when the predictability of transfer decision is low, the hidden long-term dependence can be mined by incorporating extra information such as the longitude and latitude of a starting point and a finishing point, a limited area and the like, so that the LSTM can achieve higher prediction accuracy. The markov prediction model has the lowest error under the condition of high transfer decision predictability, and can quickly converge to the predictive upper limit, and the transfer decision predictability and the prediction precision of the markov prediction model have a highly positive correlation relationship.
Here, the first and second liquid crystal display panels are,
means that in time interval n +1, the demand of the autonomous vehicle for road i is β; c is a repeated sub-sequence representing the sequence of demands of the autonomous vehicle
In particular to
In the embodiment of the application, the predictability of the transfer decision of the special scene under automatic driving is high, which indicates that the special road conditions have strong time relevance. In areas with low predictability and high randomness of transfer decisions, the LSTM predictor can achieve high accuracy through hidden long-term dependence; in areas with higher predictability and regularity of transfer decisions, the Markov predictor can achieve high prediction precision. Therefore, the combination of the LSTM model and the Markov algorithm can provide better time-consuming prediction precision for automatic driving transfer, so that a transfer scheme with the shortest time consumption can be planned for a user.
Step 304: and obtaining the overall shortest time-consuming transfer scheme (namely the shortest time-consuming travel route) according to the time consumption.
When a user needs to take an automatic driving vehicle to go from a starting point A to a destination C, the original technical scheme is likely to recommend B1 with the nearest distance as a transfer station, and if the distance is 100 and the vehicle speed is 10, the prediction time consumption is 10; however, the system predicts the planned route through the LSTM, at which the traffic jam occurs frequently, and the actual elapsed time plus the waiting time is 20. Therefore, taking B2 which is the next closest as the transfer point, and the distance is 120, under the condition that the vehicle speed is 10 unchanged, the time is 12, and the method has obvious improvement compared with the traditional scheme.
In other embodiments, all transfer scenarios may be arranged and combined in an enumerated manner, and the travel time of each vehicle/single trip is calculated by using the current vehicle speed and the planned route, and the total elapsed time is preferably the shortest among all the scenarios in the enumerated manner. For a large data set in the application scenario, kmeans can be used to calculate the distance between each object and k cluster mean centers, so as to assign each object to the nearest cluster center, and this process is repeated until some ending condition is satisfied. When the clusters are dense and the difference between the clusters is obvious, the algorithm has a good effect, and the shortest time-consuming transfer scheme can be found with high efficiency.
By applying the embodiment of the application, the transfer algorithm of the automatic driving multi-vehicle is provided, the transfer function is realized from the beginning, meanwhile, the accuracy of predicting the traffic time of the automatic driving vehicle running on the urban open road is obviously improved, the accuracy of predicting the traffic time is obviously superior to that of the traditional scheme, the shortest travel time is optimized through the scheme, the travel time of a user is greatly shortened, and the satisfaction degree of the user is obviously improved.
Continuing with the exemplary structure of the autonomous driving based vehicle reservation apparatus 555 implemented as a software module provided by embodiments of the present application, in some embodiments, as shown in fig. 2, the software module stored in the autonomous driving based vehicle reservation apparatus 555 of the memory 550 may include:
a first presentation module 5551 for presenting an intelligent reservation interface for an autonomous vehicle, the intelligent reservation interface for reserving at least two types of autonomous vehicles;
the second presentation module 5552 is configured to receive a travel starting point and a travel ending point input based on the intelligent reservation interface, and present a corresponding travel route based on the travel starting point and the travel ending point;
the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle;
the reservation module 5553 is configured to reserve at least two types of autonomous vehicles corresponding to the at least two sub-travel routes when a reservation instruction of the autonomous vehicle is received.
In some embodiments, the first presenting module 5551 is further configured to present a functional portal display area of the autonomous vehicle, and
presenting an intelligent booking function entry in the function entry display area;
and presenting an intelligent reservation interface of the automatic driving vehicle in response to the triggering operation aiming at the intelligent reservation function entrance.
In some embodiments, the first presenting module 5551 is further configured to present, in the function portal display area, other reservation function portals different from the smart reservation function portal, the other reservation function portals for reserving a target type of autonomous vehicle;
when a triggering operation aiming at the other reservation function entrance is received, switching from presenting the intelligent reservation interface to presenting a reservation interface for reserving the target type of automatic driving vehicle.
In some embodiments, the second presenting module 5552 is further configured to present route generation function items corresponding to the travel starting point and the travel ending point;
the second presentation module 5552 is further configured to, in response to a trigger operation for the route generation function item, obtain portrait information of a current user;
and presenting a travel route matched with the portrait information based on the travel starting point and the travel terminal.
In some embodiments, the second presenting module 5552 is further configured to present at least two candidate travel routes for selection and route identifications corresponding to the candidate travel routes based on the travel starting point and the travel ending point;
wherein the route identifier is used for indicating route characteristics of a corresponding candidate travel route;
and responding to a route selection operation based on the route identification, and presenting the selected candidate travel route as the travel route.
In some embodiments, the intelligent reservation interface includes a map display area; the second presenting module 5552 is further configured to present, in the map display area, the starting point of travel, the ending point of travel, and indication icons corresponding to transfer sites among the sub-travel routes, and further present the indication icons
And connecting corresponding indication icons through connecting lines according to the direction from the travel starting point to the travel terminal point through the transfer station so as to present the travel route.
In some embodiments, the intelligent reservation interface includes an information display area; the second presenting module 5552 is further configured to present, in the information display area, route information of each of the sub-travel routes included in the travel route, and a viewing function item corresponding to each of the sub-travel routes;
and when a trigger operation of a viewing function item for a target sub-travel route is received, presenting route detail information of the target sub-travel route.
In some embodiments, the second presenting module 5552 is further configured to present a first route display card, and
presenting route information of the travel route in the first route display card;
when the travel routes are at least two, responding to the sliding operation aiming at the first route display card, sliding out the first route display card, and
and presenting a second route display card positioned at the lower layer of the first route display card so as to present route information of other travel routes different from the travel route through the second route display card.
In some embodiments, the second presenting module 5552 is further configured to present a reservation function item for reserving an autonomous vehicle corresponding to the travel route;
when a trigger operation for the reservation function item is received, a reservation instruction of the autonomous vehicle is received.
In some embodiments, the second presenting module 5552 is further configured to obtain service information of the autonomous vehicle and road information within a service range of the autonomous vehicle;
determining at least two reachable candidate travel routes based on the travel starting point and the travel ending point by combining the service information and the road information;
inputting each candidate trip route into a neural network model respectively, and predicting time-consuming duration through the neural network model to obtain time-consuming duration corresponding to each candidate trip route;
and taking the candidate travel route with the shortest time as the travel route, and presenting the travel route.
In some embodiments, the second presenting module 5552 is further configured to determine a predictable score for each of the candidate travel routes, the predictable score indicating a probability of the road through which the respective candidate travel route passes appearing to the target scene;
taking a candidate travel route of which the predictable score does not exceed the score threshold value in the at least two candidate travel routes as a first candidate travel route, and taking a candidate travel route of which the predictable score exceeds the score threshold value in the at least two candidate travel routes as a second candidate travel route;
predicting the time-consuming duration of the first candidate travel route through a first neural network model to obtain corresponding time-consuming duration, and
and predicting the time-consuming duration of the second candidate trip route through a second neural network model to obtain corresponding time-consuming duration so as to obtain the time-consuming duration corresponding to each candidate trip route.
In some embodiments, the first presenting module 5551 is further configured to present, in an application interface of a parent application, a functional portal for reserving a reservation applet for an autonomous vehicle;
and responding to the triggering operation aiming at the function entrance, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
In some embodiments, the first presentation module 5551 is further configured to receive a scanning operation triggered by the parent application for a graphical code corresponding to a reserved applet reserving the autonomous vehicle;
and responding to the scanning operation, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
In some embodiments, the second presenting module 5552 is further configured to receive, at the smart booking interface, a positioning operation for a current location;
responding to the positioning operation, and receiving the travel starting point positioned based on the positioning operation;
and the trip starting point is a target driving station which is closest to the current position obtained by the positioning operation in the driving stations corresponding to the automatic driving vehicle.
In some embodiments, the second presenting module 5552 is further configured to present service prompt information when, of the driving stations corresponding to the autonomous vehicle, there is no driving station whose distance from the current location is lower than a service distance threshold;
the service prompt information is used for prompting that the current position is not in the service range of the automatic driving vehicle.
In some embodiments, the second presenting module 5552 is further configured to present, in the intelligent booking interface, a starting point input function item and a corresponding default travel starting point;
receiving a target starting point input based on the starting point input function item, and presenting at least one candidate starting point associated with the target starting point for selection, wherein the at least one candidate starting point comprises the travel starting point;
in response to a selection operation for the travel starting point, receiving an input travel starting point, and replacing the default travel starting point presented with the travel starting point.
In some embodiments, the second presenting module 5552 is further configured to present an endpoint input function item in the smart booking interface;
receiving a target destination input based on the destination input function item, and
presenting at least one candidate endpoint associated with the target endpoint for selection, the at least one candidate endpoint including the travel endpoint;
and responding to the selection operation aiming at the travel terminal, and receiving the input travel terminal.
By applying the embodiment of the application, in an intelligent reservation interface of automatic driving, an input travel starting point and an input travel ending point are received, and a corresponding travel route is generated and presented based on the travel starting point and the travel ending point, wherein the travel route is composed of at least two successive sub-travel routes, each sub-travel route corresponds to one type of automatic driving vehicle, and when a reservation instruction of the automatic driving vehicle is received, at least two types of automatic driving vehicles corresponding to the at least two sub-travel routes are reserved; therefore, the reservation of various types of automatic driving vehicles related to corresponding travel routes is realized aiming at the input travel starting point and the travel terminal point, and the reservation can be realized only by triggering reservation instructions by a user, so that the user operation is reduced, and the efficiency of automatic driving travel is improved.
An embodiment of the present application further provides an electronic device, where the electronic device includes:
a memory for storing executable instructions;
and the processor is used for realizing the automatic driving-based vehicle reservation method provided by the embodiment of the application when the executable instructions stored in the memory are executed.
Embodiments of the present application also provide a computer program product or a computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the computer device to execute the automatic driving-based vehicle reservation method provided by the embodiment of the application.
The embodiment of the application also provides a computer-readable storage medium, which stores executable instructions, and when the executable instructions are executed by a processor, the vehicle reservation method based on automatic driving provided by the embodiment of the application is realized.
In some embodiments, the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EP ROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or may be various devices including one or any combination of the above memories.
In some embodiments, executable instructions may be written in any form of programming language (including compiled or interpreted languages), in the form of programs, software modules, scripts or code, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
By way of example, executable instructions may correspond, but do not necessarily have to correspond, to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts in a hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
The above description is only an example of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, and improvement made within the spirit and scope of the present application are included in the protection scope of the present application.
Claims (20)
1. An autonomous driving based vehicle reservation method, the method comprising:
presenting an intelligent reservation interface for an autonomous vehicle, the intelligent reservation interface for reserving at least two types of autonomous vehicles;
receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface, and presenting a corresponding travel route based on the travel starting point and the travel terminal point;
the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle;
when a reservation instruction of the automatic driving vehicle is received, at least two types of automatic driving vehicles corresponding to the at least two sections of sub-travel routes are reserved.
2. The method of claim 1, wherein presenting the smart reservation interface of the autonomous vehicle comprises:
present a functional portal display area of the autonomous vehicle, an
Presenting an intelligent booking function entry in the function entry display area;
and presenting an intelligent reservation interface of the automatic driving vehicle in response to the triggering operation aiming at the intelligent reservation function entrance.
3. The method of claim 2, wherein the method further comprises:
presenting, in the function portal display area, other reservation function portals different from the intelligent reservation function portal, the other reservation function portals for reserving a target type of autonomous vehicle;
when a triggering operation aiming at the other reservation function entrance is received, switching from presenting the intelligent reservation interface to presenting a reservation interface for reserving the target type of automatic driving vehicle.
4. The method of claim 1, wherein the method further comprises:
presenting route generation function items corresponding to the travel starting point and the travel terminal point;
presenting a corresponding travel route based on the travel starting point and the travel ending point, including:
responding to the trigger operation aiming at the route generation function item, and acquiring portrait information of a current user;
and presenting a travel route matched with the portrait information based on the travel starting point and the travel terminal.
5. The method of claim 1, wherein said presenting a respective travel route based on said start and end of travel comprises:
presenting at least two candidate travel routes for selection and route identifications corresponding to the candidate travel routes based on the travel starting point and the travel ending point;
wherein the route identifier is used for indicating route characteristics of a corresponding candidate travel route;
and responding to a route selection operation based on the route identification, and presenting the selected candidate travel route as the travel route.
6. The method of claim 1, wherein the intelligent reservation interface comprises a map display area;
presenting a corresponding travel route based on the travel starting point and the travel ending point, including:
displaying the starting point of travel, the end point of travel and the indication icons corresponding to the transfer sites among the sub travel routes in the map display area, and displaying the indication icons
And connecting corresponding indication icons through connecting lines according to the direction from the travel starting point to the travel terminal point through the transfer station so as to present the travel route.
7. The method of claim 1, wherein the intelligent reservation interface includes an information display area; the method further comprises the following steps:
presenting, in the information display area, route information of each of the sub-travel routes included in the travel route, and a viewing function item corresponding to each of the sub-travel routes;
and when a trigger operation of a viewing function item for a target sub-travel route is received, presenting route detail information of the target sub-travel route.
8. The method of claim 1, wherein the method further comprises:
present a first route display card, and
presenting route information of the travel route in the first route display card;
when the travel routes are at least two, responding to the sliding operation aiming at the first route display card, sliding out the first route display card, and
and presenting a second route display card positioned at the lower layer of the first route display card so as to present route information of other travel routes different from the travel route through the second route display card.
9. The method of claim 1, wherein the method further comprises:
presenting a reservation function item for reserving an autonomous vehicle corresponding to the travel route;
when a trigger operation for the reservation function item is received, a reservation instruction of the autonomous vehicle is received.
10. The method of claim 1, wherein said presenting a respective travel route based on said start and end of travel comprises:
acquiring service information of the automatic driving vehicle and road information in a service range of the automatic driving vehicle;
determining at least two reachable candidate travel routes based on the travel starting point and the travel ending point by combining the service information and the road information;
inputting each candidate trip route into a neural network model respectively, and predicting time-consuming duration through the neural network model to obtain time-consuming duration corresponding to each candidate trip route;
and taking the candidate travel route with the shortest time as the travel route, and presenting the travel route.
11. The method of claim 10, wherein the step of inputting each of the candidate travel routes into a neural network model and predicting time-consuming duration through the neural network model to obtain time-consuming duration corresponding to each of the candidate travel routes includes:
determining a predictable score of each candidate travel route, wherein the predictable score is used for indicating the probability of a target scene appearing on a road through which the corresponding candidate travel route passes;
taking a candidate travel route of which the predictable score does not exceed the score threshold value in the at least two candidate travel routes as a first candidate travel route, and taking a candidate travel route of which the predictable score exceeds the score threshold value in the at least two candidate travel routes as a second candidate travel route;
predicting the time-consuming duration of the first candidate travel route through a first neural network model to obtain corresponding time-consuming duration, and
and predicting the time-consuming duration of the second candidate trip route through a second neural network model to obtain corresponding time-consuming duration so as to obtain the time-consuming duration corresponding to each candidate trip route.
12. The method of claim 1, wherein presenting the smart reservation interface of the autonomous vehicle comprises:
presenting, in an application interface of a parent application, a functional portal for reserving a reservation applet for automatically driving a vehicle;
and responding to the triggering operation aiming at the function entrance, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
13. The method of claim 1, wherein presenting the smart reservation interface of the autonomous vehicle comprises:
receiving scanning operation aiming at a graphic code triggered by a parent application program, wherein the graphic code corresponds to a reservation applet reserving an automatic driving vehicle;
and responding to the scanning operation, running the reservation applet through the parent application program, and presenting an intelligent reservation interface of the automatic driving vehicle.
14. The method of claim 1, wherein receiving a start of travel based on the intelligent reservation interface input comprises:
receiving a positioning operation aiming at the current position at the intelligent reservation interface;
responding to the positioning operation, and receiving the travel starting point positioned based on the positioning operation;
and the trip starting point is a target driving station which is closest to the current position obtained by the positioning operation in the driving stations corresponding to the automatic driving vehicle.
15. The method of claim 14, wherein the method further comprises:
when no driving station with the distance to the current position lower than a service distance threshold value exists in the driving stations corresponding to the automatic driving vehicle, presenting service prompt information;
the service prompt information is used for prompting that the current position is not in the service range of the automatic driving vehicle.
16. The method of claim 1, wherein receiving a start of travel based on the intelligent reservation interface input comprises:
presenting a starting point input function item and a corresponding default travel starting point in the intelligent reservation interface;
receiving a target starting point input based on the starting point input function item, and presenting at least one candidate starting point associated with the target starting point for selection, wherein the at least one candidate starting point comprises the travel starting point;
in response to a selection operation for the travel starting point, receiving an input travel starting point, and replacing the default travel starting point presented with the travel starting point.
17. The method of claim 1, wherein receiving a travel endpoint based on the intelligent reservation interface input comprises:
presenting a terminal point input function item in the intelligent reservation interface;
receiving a target destination input based on the destination input function item, and
presenting at least one candidate endpoint associated with the target endpoint for selection, the at least one candidate endpoint including the travel endpoint;
and responding to the selection operation aiming at the travel terminal, and receiving the input travel terminal.
18. An automatic driving-based vehicle reservation apparatus, the apparatus comprising:
the system comprises a first presentation module, a second presentation module and a third presentation module, wherein the first presentation module is used for presenting an intelligent reservation interface of the automatic driving vehicle, and the intelligent reservation interface is used for reserving at least two types of automatic driving vehicles;
the second presentation module is used for receiving a travel starting point and a travel terminal point input based on the intelligent reservation interface and presenting a corresponding travel route based on the travel starting point and the travel terminal point;
the travel route consists of at least two successive sub-travel routes, and each sub-travel route corresponds to one type of automatic driving vehicle;
and the reservation module is used for reserving at least two types of automatic driving vehicles corresponding to the at least two sections of sub-travel routes when a reservation instruction of the automatic driving vehicle is received.
19. An electronic device, characterized in that the electronic device comprises:
a memory for storing executable instructions;
a processor for implementing the automated driving-based vehicle reservation method of any of claims 1 to 17 when executing executable instructions stored in the memory.
20. A computer readable storage medium having stored thereon executable instructions for, when executed, implementing an autonomous driving based vehicle reservation method according to any of claims 1 to 17.
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| CN117236662B (en) * | 2023-11-14 | 2024-01-12 | 亚商科创(北京)科技有限公司 | Big data platform for sharing automatic driving of electric vehicle |
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