CN114065980A

CN114065980A - Method and device for processing self-learning vehicle reservation

Info

Publication number: CN114065980A
Application number: CN202111300123.3A
Authority: CN
Inventors: 马军
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2021-11-04
Filing date: 2021-11-04
Publication date: 2022-02-18

Abstract

The embodiment of the specification provides a self-learning vehicle reservation processing method and device, wherein the self-learning vehicle reservation processing method comprises the following steps: receiving an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, and returning a self-learning vehicle resource set to the user terminal; according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal, resource matching is carried out in the self-learning vehicle resource set; creating a self-learning vehicle reservation order of the reservation request according to a resource matching result; and performing reservation synchronous processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order.

Description

Method and device for processing self-learning vehicle reservation

Technical Field

The document relates to the technical field of data processing, in particular to a vehicle self-learning appointment processing method and device.

Background

Along with the continuous climbing of automobile reserves, the demand of users on learning driving techniques is gradually increased, so that the prospect of the driving training industry is continuously widened, the users can learn autonomously through a self-learning and direct-examination mode and master the driving techniques, in the process, the users need to add self-learning vehicles according to the regulations, drive the self-learning vehicles additionally qualified to learn the driving techniques, and further participate in and obtain driving certificates through driver examinations organized by a vehicle management mechanism.

Disclosure of Invention

One or more embodiments of the present specification provide a self-learning vehicle reservation processing method, which is applied to a self-learning vehicle service platform, and includes: and receiving an access request submitted by a user terminal of a vehicle learning user through accessing the self-learning vehicle service, and returning a self-learning vehicle resource set to the user terminal. And performing resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal. And creating a self-learning vehicle reservation order of the reservation request according to the resource matching result. And performing reservation synchronous processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order.

One or more embodiments of the present specification provide another method for processing a vehicle reservation, which is applied to a user terminal, and includes: and submitting an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service. And receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform. And submitting a reservation request corresponding to the reserved self-learning vehicle resources to the self-learning vehicle service platform according to the reserved self-learning vehicle resources selected by the self-learning vehicle users in the self-learning vehicle resource set. And acquiring a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

One or more embodiments of the present specification provide a self-learning vehicle reservation processing device, operating on a self-learning vehicle service platform, including: the request receiving module is configured to receive an access request submitted by a user terminal of a vehicle learning user through accessing a vehicle learning service, and return a self-learning vehicle resource set to the user terminal. And the resource matching module is configured to perform resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal. And the order creating module is configured to create a self-learning vehicle reservation order of the reservation request according to the resource matching result. And the synchronous processing module is configured to perform reservation synchronous processing on the respective school bus resources recorded in the self-learning bus reservation order.

One or more embodiments of the present specification provide another self-learning vehicle reservation processing device, operating at a user terminal, including: and the access request submitting module is configured to submit an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service. And the resource receiving module is configured to receive and display the self-learning vehicle resource set returned by the self-learning vehicle service platform. And the reservation request submitting module is configured to submit a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform according to the reserved self-learning vehicle resource selected by the vehicle-learning user in the self-learning vehicle resource set. And the order acquisition module is configured to acquire a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

One or more embodiments of the present specification provide a self-learning vehicle reservation processing device, including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and receiving an access request submitted by a user terminal of a vehicle learning user through accessing the self-learning vehicle service, and returning a self-learning vehicle resource set to the user terminal. And performing resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal. And creating a self-learning vehicle reservation order of the reservation request according to the resource matching result. And performing reservation synchronous processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order.

One or more embodiments of the present specification provide another auto-school bus reservation processing apparatus, including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and submitting an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service. And receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform. And submitting a reservation request corresponding to the reserved self-learning vehicle resources to the self-learning vehicle service platform according to the reserved self-learning vehicle resources selected by the self-learning vehicle users in the self-learning vehicle resource set. And acquiring a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed by a processor, implement the following: and receiving an access request submitted by a user terminal of a vehicle learning user through accessing the self-learning vehicle service, and returning a self-learning vehicle resource set to the user terminal. And performing resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal. And creating a self-learning vehicle reservation order of the reservation request according to the resource matching result. And performing reservation synchronous processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order.

One or more embodiments of the present specification provide another storage medium storing computer-executable instructions that, when executed by a processor, implement the following: and submitting an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service. And receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform. And submitting a reservation request corresponding to the reserved self-learning vehicle resources to the self-learning vehicle service platform according to the reserved self-learning vehicle resources selected by the self-learning vehicle users in the self-learning vehicle resource set. And acquiring a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

Drawings

In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise;

FIG. 1 is a flow chart of a self-learning vehicle reservation processing method provided in one or more embodiments of the present disclosure;

FIG. 2 is a processing sequence diagram of a self-learning vehicle reservation processing method applied to a structured resource scenario, according to one or more embodiments of the present disclosure;

FIG. 3 is a processing sequence diagram of a self-learning car appointment processing method applied to a coach appointment scenario according to one or more embodiments of the present disclosure;

fig. 4 is a process flow diagram of another school bus reservation processing method according to one or more embodiments of the present disclosure;

FIG. 5 is a schematic diagram of a self-learning vehicle reservation processing device provided in one or more embodiments of the present disclosure;

FIG. 6 is a schematic view of another self-learning vehicle reservation processing device provided in one or more embodiments of the present disclosure;

FIG. 7 is a schematic structural diagram of a self-learning vehicle reservation processing device provided in one or more embodiments of the present disclosure;

fig. 8 is a schematic structural diagram of another school bus reservation processing apparatus according to one or more embodiments of the present disclosure.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.

The embodiment of the self-learning vehicle reservation processing method provided by the specification comprises the following steps:

referring to FIG. 1, a flow chart of a processing method of the self-learning vehicle reservation processing provided by the embodiment is shown, referring to FIG. 2, a timing chart of the processing method of the self-learning vehicle reservation processing applied to a structured resource scenario provided by the embodiment is shown, and referring to FIG. 3, a timing chart of the processing method of the self-learning vehicle reservation processing applied to a coach reservation scenario provided by the embodiment is shown.

Referring to fig. 1, the method for processing a self-learning vehicle reservation provided in this embodiment specifically includes steps S102 to S108.

And S102, receiving an access request submitted by a user terminal of a vehicle learning user through accessing a vehicle learning service, and returning a vehicle learning resource set to the user terminal.

The method for processing the self-learning vehicle reservation provided by the embodiment is matched with a user terminal, a self-learning vehicle resource set is displayed to a vehicle learning user in the process that the vehicle learning user accesses the self-learning vehicle service, reserved self-learning vehicle resources selected by the vehicle learning user in the self-learning vehicle resource set are obtained, resource matching is further performed in the self-learning vehicle resource set, on the basis, a self-learning vehicle reservation order is created according to the result of the resource matching, reservation processing is performed aiming at the self-learning vehicle reservation order, reservation online and transparency of the self-learning vehicle service are achieved, more self-learning vehicle resources are provided for the vehicle learning user, various self-learning vehicle requirements of the vehicle learning user are met, an evaluation mechanism is introduced, a coach is reminded to improve self skills, and driving force is provided for effective platform management.

The vehicle learning users in the embodiment comprise users who execute vehicle learning tasks and apply driving vouchers in a self-learning and direct-learning mode.

In the actual self-learning vehicle scene, the self-learning vehicle service platform is open for all users, including vehicle learning users, coaches, vehicle management institutions, vehicle renting companies and the like, the vehicle management institutions, the vehicle renting companies or other unified providers of shared vehicles can register the shared vehicles on the self-learning vehicle service platform, and the coaches and other vehicle owners can register own vehicles as the shared vehicles, namely: the shared vehicle may originate not only from a car management authority, rental car company, or other unified provider of the shared vehicle, but also from a coach or other owner of the vehicle.

The vehicle registration process is equivalent to applying for the vehicle as the qualification of the shared vehicle, after obtaining the qualification of the shared vehicle, a driving auxiliary device may be installed for the shared vehicle, for example, a control device for vehicle auxiliary control is installed in a copilot, wherein an IoT component may be configured for the control device to perform identity verification, specifically, the IoT component may be configured in the form of a camera installed in a primary driving position and a secondary driving position, that is, divided into a vehicle internal camera and a vehicle external camera, the external camera may scan a self-learning identification code to unlock or start the vehicle, and the self-learning identification code may be used as a basis for searching the shared vehicle to determine that the shared vehicle is the shared vehicle reserved for itself, the internal camera may be used to acquire identity images of the trainee user and the trainee under the condition that the trainee is in the primary driving position and the trainee is in the secondary driving position, so as to identify and check the identity and ensure the driving safety in the process of learning the vehicle. The qualification as the shared vehicle is to obtain the admittance qualification of the self-learning driving test; optionally, the shared vehicles in the self-learning vehicle resource set are configured with driving assistance equipment, and the driving assistance equipment is configured after the shared vehicles obtain self-learning driving test admission qualification.

It should be noted that the self-learning identification code may be applied by a trainee user and/or a coach, after the self-learning identification code is obtained, the trainee user and/or the coach goes to a reserved driving site, and an IoT component configured in the shared vehicle is used to collect the self-learning identification code and identity images of the trainee user and the coach for identity recognition and verification, so as to start the shared vehicle, specifically, the identity recognition and verification process includes: calling an IoT component of the shared vehicle configuration to acquire a self-learning identification code and identity images of a vehicle learning user and a coach; performing self-learning vehicle relationship detection based on the self-learning identification code and the identity images of the vehicle learning user and the coach; if the vehicle self-learning identification code passes the detection, determining a vehicle self-learning task of the shared vehicle according to the reserved order bound by the self-learning identification code; and issuing a self-learning vehicle instruction to auxiliary driving equipment configured for the shared vehicle based on the self-learning vehicle task so as to start a self-learning vehicle mode of the shared vehicle.

On the basis, in order to improve the completion condition of the learning vehicle user on the self-learning vehicle task in the process of assisting the coach in guiding to drive the shared vehicle, in the embodiment, the driving positioning data of the shared vehicle for the self-learning vehicle driving subject can be acquired, and the driving positioning data is acquired based on the identification component of the shared vehicle and the communication component of the self-learning vehicle driving area; according to the driving positioning data and the auxiliary driving data of the auxiliary driving equipment configured by the shared vehicle, self-learning vehicle driving data of a vehicle learning user are determined, and a driving prompt of a self-learning vehicle driving subject corresponding to the self-learning vehicle task is generated based on the self-learning vehicle driving data.

In addition, a vehicle-learning service client is installed on a vehicle-machine terminal of each shared vehicle, the vehicle-learning service platform performs data transmission with the installed client, authority control over driving auxiliary equipment configured for the shared vehicle is achieved, and then auxiliary control over a vehicle-learning process of a vehicle-learning user is achieved, so that vehicle safety is guaranteed, accurate driving detection of the shared vehicle is achieved, and more convenient and better vehicle-learning service is provided for the vehicle-learning user; optionally, the vehicle learning service platform performs data communication with a client of the vehicle learning service installed on the vehicle terminal of the shared vehicle, and performs authority control on the driving assistance device configured for the shared vehicle.

In the embodiment, after the vehicle learning user accesses the self-learning vehicle service and submits an access request, a self-learning vehicle resource set is returned to the user terminal of the vehicle learning user according to the access request submitted by the vehicle learning user so as to be displayed at the user terminal; wherein the self-learning vehicle resource set consists of self-learning vehicle resources; the self-learning vehicle resource comprises at least one of the following items: shared vehicles, coaches, driving grounds, driving subjects, and in addition, other self-learning vehicle resources.

Specifically, in the process of determining the self-learning vehicle resource set, the self-learning vehicle resource set adapted to the current vehicle learning user can be determined according to the resource availability states of the respective vehicle learning resources and the credential application types of the vehicle learning users. In an optional implementation manner provided by this embodiment, the self-learning vehicle resource set is determined by the following method:

selecting candidate sharing vehicles and candidate coaches from the sharing vehicles and the coaches registered by the self-learning vehicle service platform;

determining a candidate driving place and a candidate driving subject which are matched with the certificate application type of the vehicle learning user in the driving places provided by a vehicle management mechanism or a vehicle provider;

and establishing the self-learning vehicle resource set according to the candidate sharing vehicle, the candidate coach, the candidate driving field and the candidate driving subjects.

The vehicle provider comprises a unified provider for sharing the vehicle and also comprises a coach or other vehicle owners; the voucher application type is the driving voucher type applied by the trainee user, such as A1, A2, A3, B1, and the like.

For example, after the trainee user u submits an access request from the trainee service platform, the self-learning vehicle service platform selects a candidate shared vehicle and a candidate trainer from the registered shared vehicles and trainers, the type of the voucher application of the trainee user is A1, and the candidate driving sites are determined to be y1, y2 and y3 by matching with the driving sites provided by the vehicle management institution or the vehicle provider, the candidate driving subjects are subject two and subject three, and according to the candidate shared vehicle, the candidate trainer, the candidate driving sites y1, y2 and y3, the candidate driving subjects are: and establishing a self-learning vehicle resource set by the subject two and the subject three, and returning the self-learning vehicle resource set to the user terminal of the learning vehicle user u.

It should be noted that the above example is only for illustrating the determination process of the self-learning vehicle resource set, and the implementation does not limit the credential application type, the candidate driving site and the candidate driving subject in terms of attributes or quantity.

In addition, in order to realize the integrated execution of the self-learning vehicle service and simplify the operation process of the vehicle learning user, the candidate shared vehicle, the candidate trainer, the candidate driving site and the candidate driving subjects, namely the candidate self-learning vehicle resources, can be packaged according to the user information of the vehicle learning user, and the user terminal for returning the structured self-learning vehicle resource and self-learning vehicle resource set to the vehicle learning user is constructed, specifically, in an optional implementation manner provided by the embodiment, in the process of returning the self-learning vehicle resource set to the user terminal, the following operations are executed:

according to the user information of the school bus users, performing structural resource construction of candidate school bus resources in the school bus resource set;

and returning a self-learning vehicle resource set containing the constructed structured self-learning vehicle resources to the user terminal.

The user information of the school bus user comprises the geographical position information of the residence or other user information.

And step S104, performing resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal.

As described above, the access request submitted by the vehicle learning user is received, the self-learning vehicle resource set is returned to the user terminal of the vehicle learning user, on the basis, the vehicle learning user selects the reserved self-learning vehicle resource from the self-learning vehicle resource set displayed by the user terminal, and the user terminal submits the reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform.

In practical application, a vehicle learning user can select one or more of a reserved shared vehicle, a reserved coach, a reserved driving place and a reserved driving subject according to self geographical position information, voucher application types, preference information and the like, wherein the reserved shared vehicle, the reserved coach, the reserved driving place and the reserved driving subject are displayed by the user terminal, namely the reserved self-learning resource comprises one or more of the reserved shared vehicle, the reserved coach, the reserved driving place and the reserved driving subject, and a reservation request submitted by the vehicle learning user corresponds to one or more of the reserved shared vehicle, the reserved coach, the reserved driving place and the reserved driving subject; and if the self-learning vehicle resources selected by the vehicle learning user do not contain all the categories of self-learning vehicle resources, matching the rest self-learning vehicle resources. In this regard, a plurality of processes for performing resource matching of reserved own-school-vehicle resources corresponding to the reservation request will be described below.

(1) The trainee can make a reservation to coach and match the driving field

In a specific implementation, the vehicle learning user can autonomously reserve a coach through the self-learning vehicle service platform, and in this case, the driving field can be matched according to the geographic location of the coach, specifically, in an optional implementation manner provided in this embodiment, the following operations are performed in the process of resource matching in the self-learning vehicle resource set according to a reservation request submitted by the user terminal:

and according to the reservation coach corresponding to the reservation request, screening candidate driving fields matched with the position of the reservation coach from the candidate driving fields contained in the self-learning vehicle resource set to serve as target driving fields.

In the process, the shared vehicle can be selected autonomously by the vehicle learning user, and the vehicle learning user can acquire and determine the target shared vehicle by displaying the self-learning identification code after arriving at the matched target driving field; the vehicle learning system comprises a self-learning identification code, a two-dimensional code and identification vouchers, wherein the identification code is specifically displayed by a vehicle learning user in the process of carrying out order reservation of vehicle self-learning service at a certain time and completing the vehicle self-learning task through a shared vehicle.

(2) The driving subjects of the vehicle learning users are reserved and the driving areas are matched

Because driving areas may be allocated to all driving subjects in some driving places and driving areas may be divided only to part of the driving subjects in some driving places, under the condition that the driving subject reservation is selected by the vehicle learning user, a target driving place supporting the reserved driving subject can be searched, and the target driving area of the reserved driving subject belonging to the target driving place can be determined, so that various reservation requirements of the vehicle learning user can be met.

Specifically, in an optional implementation manner provided in this embodiment, in a process of performing resource matching in a self-learning vehicle resource set according to a reserved vehicle resource corresponding to a reservation request submitted by a user terminal, the following operations are performed:

and according to the reserved driving subjects corresponding to the reserved request, determining candidate driving places matched with the reserved driving subjects in the self-learning vehicle resource set as target driving places, and taking driving areas corresponding to the reserved driving subjects in the target driving places as target driving areas.

In the process, the self-learning vehicle service platform provides an evaluation interface aiming at least one self-learning vehicle resource for the vehicle learning user after the self-learning vehicle task is completed, so that when the vehicle learning user selects a reserved driving subject, coach matching can be performed according to coach evaluation data under the reserved driving subject, coaches are ranked according to the sequence of the evaluation data from high to low, a list obtained through ranking is returned to the user terminal so that the vehicle learning user can select the coaches, or a coach with the first evaluation data is directly used as the coach of the vehicle learning user.

(3) The vehicle learning users reserve and share the vehicle and match coaches

The source of the shared vehicle can be a coach, and on this basis, if the school bus user selects to reserve the shared vehicle, namely, selects the coach, the target driving field can be matched according to the position of the school bus user.

and according to the reserved shared vehicle corresponding to the reservation request, searching a candidate coach to which the reserved shared vehicle belongs in the self-learning vehicle resource set as a target coach, and selecting a candidate driving site matched with the position of the vehicle learning user in the self-learning vehicle resource set as a target driving site.

After the resource matching is completed, the reservation order aiming at the student vehicle user can be synchronized to the coach belonging to the reservation sharing vehicle or reminding information can be sent to the belonging coach, so that the coach can drive the reservation sharing vehicle to the driving field matched with the position of the student vehicle user at the reservation time or directly drive the reservation sharing vehicle to the student vehicle user to the matched driving field.

In addition, the implementation manners of providing the trainee reservation coach, the driving subjects and the shared vehicle respectively are similar to those of the trainee reservation coach, the driving field can be reserved independently, and the remaining non-reserved self-learning vehicle resources can be matched.

(4) The user of the learning vehicle can make a driving appointment and a driving place appointment to match with the coach

In addition to the implementation mode that the vehicle learning user centrally reserves one self-learning vehicle resource from the self-learning vehicle resources, the vehicle learning user can also reserve various self-learning vehicle resources at the same time, and in this case, resource matching can be performed on the rest non-reserved self-learning vehicle resources.

and selecting a candidate coach matched with the evaluation of the reserved driving subjects as a target coach according to the reserved driving subjects and the reserved driving fields corresponding to the reserved requests and the evaluation data of the candidate coaches in the self-learning vehicle resource set.

In a specific implementation process, a trainee user selects a reserved driving subject and a reserved driving field, a trainee with the first evaluation data of the reserved driving subject can be allocated to the trainee user according to the evaluation data of the trainee, and in addition, on the basis, if the trainee can provide a shared vehicle, the shared vehicle provided by the trainee is taken as a target shared vehicle; if the coach can not provide the sharing vehicle, the coach can independently select the sharing vehicle, and after the coach arrives at the matched target driving field, the target sharing vehicle is determined by displaying the self-learning identification code so that the sharing vehicle can collect.

In addition, the implementation mode that the vehicle learning user reserves the driving subjects and the driving field is provided, and similarly, reservation can be performed on any other two self-learning vehicle resources, including reserving a shared vehicle and a coach; reserving a shared vehicle and a driving subject; reserving a shared vehicle and a driving field; reserving a coach and a driving subject; reservation coach, driving field. For example, according to a reserved coach and a reserved driving subject corresponding to the reserved request, a candidate driving field matched with the position of the reserved coach is screened from candidate driving fields contained in the self-learning vehicle resource set to serve as a target driving field.

(5) The vehicle learning user reserves and shares the vehicle, the driving field and the coach to match the driving area

In an optional implementation manner provided by this embodiment, in a process of resource matching in a self-learning vehicle resource set according to a reservation request corresponding to a reservation request submitted by a user terminal, the following operations are performed:

and selecting a candidate driving area matched with the voucher application type of the vehicle learning user as a target driving area from the candidate driving areas provided by the reserved driving area according to the reserved shared vehicle, the reserved driving area and the reserved coach corresponding to the reserved request.

Along the above example, the voucher application types are classified into types a1, a2, A3, B1 and the like, and according to the reserved shared vehicle, the reserved driving place y1 and the reserved coach corresponding to the reservation request submitted by the trainee user u, the candidate driving area s1 matching the voucher application type a1 of the trainee user u is selected as the target driving area from the candidate driving areas s1, s2 and s3 provided in the reserved driving place y 1.

In addition, the implementation mode that the vehicle learning user reserves the shared vehicle, the driving field and the coach can also reserve any other 3 persons, including the reserved shared vehicle, the driving subjects and the driving field; reserving driving subjects, driving sites and coaches; appointment sharing of vehicles, coaches, driving subjects.

In the process of resource matching in a self-learning vehicle resource set according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal, firstly judging whether the category sum of the reserved self-learning vehicle resources corresponding to the reservation request is 4 or not, if so, performing reservation synchronous processing on the respective learning vehicle resources recorded in the self-learning vehicle reservation order according to the self-learning vehicle reservation order corresponding to the reservation request submitted by the user terminal;

if not, performing a resource matching process in the self-learning vehicle resource set.

(6) Matching with structured self-learning vehicle resources

In addition, the candidate shared vehicle, the candidate trainer, the candidate driving site and the candidate driving subjects, that is, the candidate self-learning vehicle resources, are packaged to construct the structured self-learning vehicle resource combined self-learning vehicle resource set, and the structured resource including the self-learning vehicle resource reserved by the learner-learning vehicle user can be searched if the learner-learning vehicle user reserves one or more self-learning vehicle resources, and matching and screening are performed according to the user information of the learner-learning vehicle user to determine the target self-learning vehicle resource, specifically, in an optional implementation manner provided by this embodiment, in the process of resource matching in the self-learning vehicle resource set according to the reservation request corresponding to the user terminal, the following operations are performed: and determining candidate self-learning vehicle resources contained in the structured self-learning vehicle resources as target self-learning vehicle resources according to the structured self-learning vehicle resources to which the reserved self-learning vehicle resources belong corresponding to the reservation request.

Through the multiple resource matching implementation mode, the resource matching is performed according to the reservation requirement of the vehicle learning user, the resource matching efficiency is improved, the service experience of the vehicle learning user is improved, and the personalized processing of the vehicle learning user is further realized.

And step S106, creating a self-learning vehicle reservation order of the reservation request according to the resource matching result.

In specific implementation, on the basis of centralized resource matching of the self-learning vehicle resources according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal, the embodiment creates a self-learning vehicle reservation order of the reservation request, namely a self-learning vehicle reservation order of the vehicle learning user, according to the resource matching result obtained by matching.

The self-learning vehicle reservation order in the embodiment records reserved self-learning vehicle resources selected by the vehicle learning user independently, reserved self-learning resources matched with the self-learning vehicle service platform and a self-learning identification code.

And step S108, reserving and synchronizing the respective school bus resources recorded in the self-learning bus reservation order.

In specific implementation, after the self-learning vehicle reservation order is created, reservation synchronous processing of respective learning vehicle resources recorded in the self-learning vehicle reservation order is carried out, and in this case, reserved self-learning vehicle resources selected by the learning vehicle user independently and reserved self-learning resources matched with the self-learning vehicle service platform are recorded in the self-learning vehicle reservation order.

Based on the aforementioned first vehicle learning user reservation coach and resource matching for matching driving places, in an optional implementation manner provided in this embodiment, in the process of performing reservation synchronization processing on respective vehicle learning resources recorded in the self-learning vehicle reservation order, the following operations are performed:

generating a self-learning identification code corresponding to the self-learning vehicle reservation order, and synchronizing the self-learning identification code to the vehicle learning user and the reservation coach;

determining the candidate shared vehicles collected to the self-learning identification codes in the target driving field as target shared vehicles, and associating the target shared vehicles to the self-learning vehicle reservation orders.

Specifically, under the condition, a self-learning identification code can be generated according to a self-learning vehicle reservation order, a vehicle learning user and a reservation coach are synchronized, a shared vehicle set may not be contained in a self-learning vehicle resource set or the vehicle learning user does not select a reservation shared vehicle in the self-learning vehicle resource set, and under the condition, after the vehicle learning user and the reservation coach arrive at a target driving site, the self-learning identification code can be displayed to enable the shared vehicle to collect, candidate shared vehicles collecting the self-learning identification code in the target driving site are determined as target shared vehicles, and meanwhile the target shared vehicles are related to the self-learning vehicle reservation order.

In the specific implementation process, similarly, the other 5 reservation synchronization processes for performing respective learning vehicle resources recorded in the self-learning vehicle reservation order created according to the resource matching result also include a process of generating a self-learning identification code and synchronizing the self-learning identification code, and the specific reservation synchronization process refers to the embodiment.

On the basis, the vehicle learning user arrives at the target reserved driving site for vehicle driving learning at the reserved time according to the vehicle self-learning reserved order, and obtains the application qualification of the self-learning driving test under the condition that the vehicle self-learning task of the vehicle learning user is completed by a certain progress, so that the driver test is participated, and the driving certificate is obtained under the condition that the score is qualified.

Optionally, the vehicle learning user has an application qualification for applying for participating in self-learning driving test to the vehicle management mechanism when the task completion degree of the vehicle learning task meets a preset condition, or after the vehicle learning user completes the self-learning vehicle task set by the vehicle management mechanism; and the vehicle learning user obtains the driving voucher issued by the vehicle management mechanism after passing the self-learning driving test.

For example, the preset condition or the self-learning vehicle task set by the vehicle management mechanism is that the learning time of the self-learning vehicle task is accumulated for 36 hours, after the vehicle learning user completes the self-learning vehicle task accumulated for 36 hours, the vehicle management mechanism can apply for participating in the self-learning driving test, and the driving certificate issued by the vehicle management mechanism is obtained under the condition that the vehicle learning user participates in the self-learning driving test and the score is qualified, so that the learning power of the vehicle learning user is improved, the vehicle learning user is assisted to obtain the driving certificate in time, the period for obtaining the driving certificate is shortened, and the use experience of the vehicle learning user is improved.

In addition, in order to better manage the self-learning vehicle service and provide the self-learning vehicle service with better quality for the vehicle-learning user, the vehicle-learning user can evaluate at least one self-learning vehicle resource during the process of self-learning vehicle, and in an optional implementation manner provided by this embodiment, the following operations are performed during the process of self-learning vehicle by the vehicle-learning user:

according to evaluation data submitted by the user terminal aiming at least one self-learning vehicle resource recorded in the self-learning vehicle reservation order;

and extracting the evaluation keywords of the respective vehicle learning resources from the evaluation data, and associating the extracted evaluation keywords with the corresponding self-learning vehicle resources.

Specifically, the vehicle learning user can evaluate one or more vehicle learning resources in the vehicle learning reservation order, and the vehicle learning user can evaluate some or all of the vehicle learning resources in one or more vehicle learning resources in the evaluation process.

The following further describes the self-learning vehicle reservation processing method provided in this embodiment by taking an application of the self-learning vehicle reservation processing method provided in this embodiment in a structured resource scenario as an example, and referring to fig. 2, the self-learning vehicle reservation processing method applied in the structured resource scenario specifically includes the following steps.

And step S204, receiving an access request submitted by the user terminal of the vehicle learning user through accessing the vehicle learning service.

Before that, the user terminal submits an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service.

And step S206, according to the user information of the school bus user, constructing the structural resource of the school bus resource in the school bus resource set.

And step S208, returning a self-learning vehicle resource set containing the constructed structured self-learning vehicle resources to the user terminal.

And then, the user terminal receives and displays the self-learning vehicle resource set returned by the self-learning vehicle service platform, acquires the reserved self-learning vehicle resources selected by the self-learning vehicle user in the self-learning vehicle resource set, and submits a reservation request corresponding to the reserved self-learning vehicle resources to the self-learning vehicle service platform.

And S216, determining candidate self-learning vehicle resources contained in the structured self-learning vehicle resources as target self-learning vehicle resources according to the structured self-learning vehicle resources to which the reserved self-learning vehicle resources belong corresponding to the reservation request.

And step S218, creating a self-learning vehicle reservation order of the reservation request according to the resource matching result.

And step S220, sending a self-learning vehicle reservation order to the user terminal.

And step S222, performing reservation synchronous processing of respective vehicle learning resources recorded in the self-learning vehicle reservation order.

And then, the user terminal acquires evaluation data recorded by the vehicle learning user for at least one vehicle learning resource recorded in the vehicle learning reservation order, and submits the evaluation data to the self-learning vehicle service platform.

Step S226, receiving evaluation data submitted by the user terminal for at least one self-school bus resource recorded in the self-school bus reservation order.

In step S228, the evaluation keywords of the respective school bus resources are extracted from the evaluation data.

And step S230, associating the extracted evaluation keywords with corresponding self-learning vehicle resources.

The following description further describes the self-learning vehicle appointment processing method provided in this embodiment by taking an application of the self-learning vehicle appointment processing method provided in this embodiment to a coach appointment scene as an example, and referring to fig. 3, the self-learning vehicle appointment processing method applied to the coach appointment scene specifically includes the following steps.

Step S304, receiving an access request submitted by the user terminal of the vehicle learning user through accessing the vehicle learning service.

And step S306, returning the self-learning vehicle resource set to the user terminal.

And then, the user terminal receives and displays the self-learning vehicle resource set returned by the self-learning vehicle service platform, acquires a reservation coach selected by the vehicle learning user in the self-learning vehicle resource set, and submits a reservation request corresponding to the reservation coach to the self-learning vehicle service platform.

And step S314, according to the reservation coach corresponding to the reservation request, screening candidate driving fields matched with the position of the reservation coach from the candidate driving fields contained in the self-learning vehicle resource set to serve as target driving fields.

And step S316, creating a self-learning vehicle reservation order of the reservation request according to the resource matching result.

And step S318, sending the self-learning vehicle reservation order to the user terminal.

And step S320, generating a self-learning identification code corresponding to the self-learning vehicle reservation order.

Step S322, the user terminal of the vehicle learning user is synchronized with the self-learning identification code.

Thereafter, the user terminal receives the self-learning identification code synchronized with the vehicle learning service platform.

And step S326, determining the candidate shared vehicle of the self-learning identification code collected in the target driving field as the target shared vehicle.

Step S328, associate the target sharing vehicle to the self-learning vehicle reservation order.

In summary, the self-learning vehicle reservation processing method provided in this embodiment receives an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, constructs a structured resource of a candidate vehicle learning resource in a vehicle learning resource set according to user information of the vehicle learning user, returns a self-learning vehicle resource set including the constructed structured vehicle learning resource to the user terminal, determines a candidate self-learning vehicle resource included in the structured self-learning vehicle resource as a target vehicle learning resource according to the structured vehicle learning resource to which the reserved vehicle resource belongs corresponding to the reservation request, creates a self-learning vehicle reservation order of the reservation request according to a resource matching result, and finally performs reservation synchronization processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order;

or firstly receiving an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, returning a self-learning vehicle resource set to the user terminal, screening candidate driving sites matched with the position of a reserved trainer from the candidate driving sites contained in the self-learning vehicle resource set as target driving sites according to the reserved trainer corresponding to the reserved request, creating a self-learning vehicle reserved order of the reserved request according to a resource matching result, regenerating a self-learning identification code corresponding to the self-learning vehicle reserved order, synchronously self-learning the identification code to the vehicle learning user and the reserved trainer, determining candidate shared vehicles of the self-learning identification code collected in the target driving sites as target shared vehicles, and associating the target shared vehicles with the self-learning vehicle order;

in the self-learning driving test process, according to evaluation data submitted by a user terminal aiming at least one self-learning vehicle resource recorded in a self-learning vehicle reservation order, evaluation keywords of the respective learning vehicle resource are extracted from the evaluation data, and the extracted evaluation keywords are associated to the corresponding self-learning vehicle resource, so that reservation online and transparency of self-learning vehicle service are realized, more self-learning vehicle resources are provided for the learning vehicle user, various self-learning vehicle requirements of the learning vehicle user are met, meanwhile, an evaluation mechanism is introduced, a coach is urged to improve self skills, and a driving force is provided for effective platform management.

The implementation process of the vehicle service processing method applied to the two application scenes, namely the structured resource scene and the coach reservation scene, is executed by the self-learning vehicle service platform, and the implementation process of the vehicle service processing method applied to the two application scenes, namely the structured resource scene and the coach reservation scene, provided by the following method embodiment is executed by the user terminal, and the two are matched with each other in the execution process, so that the implementation process refers to the corresponding content of the following method embodiment.

Another embodiment of a method for reserving a school bus provided in this specification:

referring to FIG. 4, which shows a processing flow chart of a self-learning vehicle appointment processing method provided by the embodiment, referring to FIG. 2, which shows a processing sequence chart of the self-learning vehicle appointment processing method applied to a structured resource scenario provided by the embodiment, referring to FIG. 3, which shows a processing sequence chart of the self-learning vehicle appointment processing method applied to a coach appointment scenario provided by the embodiment.

Referring to fig. 4, the self-learning vehicle reservation processing method provided in this embodiment specifically includes steps S402 to S408.

And step S402, submitting an access request to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service.

The self-learning vehicle reservation processing method provided by the embodiment is matched with the self-learning vehicle service platform, in the process that the vehicle learning user accesses the self-learning vehicle service platform, an access request is submitted to the self-learning vehicle service platform, a self-learning vehicle resource set returned by the self-learning vehicle service platform is received and displayed, then according to the reserved self-learning vehicle resources selected by the vehicle learning user in the self-learning vehicle resource set, submitting a reservation request corresponding to the reserved self-learning vehicle resources to the self-learning vehicle service platform, further obtaining a self-learning vehicle reservation order returned by the self-learning vehicle service platform after performing resource matching processing on the reservation request, so as to realize the on-line reservation and the transparentization of the self-learning vehicle service, provide more self-learning vehicle resources for the vehicle learning users, meet various self-learning vehicle requirements of the vehicle learning users, meanwhile, an evaluation mechanism is introduced to urge a coach to improve self skills, and a driving force is provided for effective management of the platform.

The vehicle learning user comprises a user who completes a vehicle learning task in a self-learning direct-checking mode and applies for driving certificates.

And S404, receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform.

As described above, according to the access instruction of the vehicle learning user for the self-learning vehicle service, an access request is submitted to the self-learning vehicle service platform, and according to the access request submitted by the vehicle learning user, the self-learning vehicle resource set returned by the self-learning vehicle service platform is received and displayed; wherein the self-learning vehicle resource set consists of self-learning vehicle resources; the self-learning vehicle resource comprises at least one of the following items: shared vehicles, coaches, driving grounds and driving subjects.

In practical application, the self-learning vehicle resource set may include one or more of a shared vehicle, a coach, a driving field, and a driving subject, so as to form a diversified self-learning vehicle resource display mode, and meet diversified requirements of the vehicle learning user.

Specifically, in the process of determining the self-learning vehicle resource set, the self-learning vehicle resource set adapted to the current vehicle learning user can be determined according to the resource availability states of the respective vehicle learning resources and the credential application types of the vehicle learning users. The self-learning vehicle resource set is determined by adopting the following method:

In addition, in order to realize the integrated execution of the self-learning vehicle service and simplify the operation process of the vehicle learning user, the self-learning vehicle service platform can also pack candidate shared vehicles, candidate trainers, candidate driving sites and candidate driving subjects, namely candidate self-learning vehicle resources, according to the user information of the vehicle learning user, a structured self-learning vehicle resource combined self-learning vehicle resource set is constructed and returned to the user terminal of the vehicle learning user, and specifically, in the process that the self-learning vehicle service platform returns the self-learning vehicle resource set to the user terminal, the following operations are executed:

Step S406, submitting a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform according to the reserved self-learning vehicle resource selected by the vehicle-learning user in the self-learning vehicle resource set.

In practical application, a vehicle learning user can select one or more of a reserved shared vehicle, a reserved coach, a reserved driving site and a reserved driving subject according to self geographical position information, voucher application types, preference information and the like, namely the reserved self-learning vehicle resource comprises one or more of the reserved shared vehicle, the reserved coach, the reserved driving site and the reserved driving subject to select the self-learning vehicle resource, and a reservation request submitted by the vehicle learning user corresponds to one or more of the reserved shared vehicle, the reserved coach, the reserved driving site and the reserved driving subject; and if the self-learning vehicle resources selected by the vehicle learning user do not contain all the categories of self-learning vehicle resources, matching the rest self-learning vehicle resources.

Step S408, acquiring a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

And the vehicle learning user selects one or more vehicle learning resources from the self-learning resource sets displayed by the user terminal, and if the vehicle learning resources selected by the vehicle learning user do not contain all categories of self-learning resources, the rest self-learning resources are matched. In this regard, a plurality of processes for performing resource matching of reserved own-school-vehicle resources corresponding to the reservation request will be described below.

(1) The trainee can make a reservation to coach and match the driving field

In specific implementation, the vehicle learning user can independently reserve a coach through the self-learning vehicle service platform, in this case, the driving field can be matched according to the geographical position of the coach, specifically, the self-learning vehicle service platform performs resource matching processing for the reservation request, including:

In the process, the shared vehicle can be independently selected by the vehicle learning user, and the vehicle learning user can acquire and determine the target shared vehicle by displaying the self-learning identification code after arriving at the matched target driving field; the vehicle learning system comprises a self-learning identification code, a two-dimensional code and identification vouchers, wherein the identification code is specifically displayed by a vehicle learning user in the process of carrying out order reservation of vehicle self-learning service at a certain time and completing the vehicle self-learning task through a shared vehicle.

(2) The reservation request corresponds to the reserved driving subject

Specifically, the resource matching processing is performed by the self-learning vehicle service platform aiming at the reservation request, and the resource matching processing includes:

(3) Reservation request corresponding selection reservation sharing vehicle

(4) The reservation request corresponds to the reserved driving subject and the reserved driving site

(5) Reservation request corresponding reservation shared vehicle, reservation driving field and reservation coach

In the process that the self-learning vehicle service platform performs resource matching processing aiming at the reservation request, firstly, whether the category sum of the reserved self-learning vehicle resources corresponding to the reservation request is 4 is judged, and if yes, reservation synchronous processing of the respective learning vehicle resources recorded in the self-learning vehicle reservation order is performed according to the self-learning vehicle reservation order corresponding to the reservation request submitted by the user terminal;

(6) Matching with structured self-learning vehicle resources

In addition, the self-learning vehicle service platform packages candidate shared vehicles, candidate trainers, candidate driving sites and candidate driving subjects, namely candidate self-learning vehicle resources, constructs a structured self-learning vehicle resource combined self-learning vehicle resource set, and returns the set to a user terminal of a vehicle learning user, on the basis, if the vehicle learning user reserves one or more self-learning vehicle resources, the structured resources including the self-learning vehicle resources reserved by the vehicle learning user can be searched, and matching screening is performed according to user information of the vehicle learning user, so that target self-learning vehicle resources are determined, specifically, the self-learning vehicle service platform performs resource matching processing aiming at the reservation request, and the method comprises the following steps:

and determining candidate self-learning vehicle resources contained in the structured self-learning vehicle resources as target self-learning vehicle resources according to the structured self-learning vehicle resources to which the reserved self-learning vehicle resources belong corresponding to the reservation request.

In the specific implementation process, the self-learning vehicle service platform performs resource matching in a self-learning vehicle resource set according to reserved self-learning vehicle resources corresponding to a reservation request submitted by a user terminal, then creates a self-learning vehicle reservation order of the reservation request according to a resource matching result, and performs reservation synchronization processing on respective learning vehicle resources recorded in the self-learning vehicle reservation order after the self-learning vehicle reservation order is created.

Specifically, the self-learning vehicle service platform executes the following operations in the process of performing reservation synchronous processing on respective vehicle learning resources recorded in the self-learning vehicle reservation order:

In practical application, a self-learning identification code can be generated according to a self-learning vehicle reservation order, a vehicle learning user and a reservation coach are synchronized, a shared vehicle set may not be contained in the self-learning vehicle resource set or the vehicle learning user does not select a reservation shared vehicle in the self-learning vehicle resource set, in this case, after the vehicle learning user and the reservation coach arrive at a target driving field, the self-learning identification code can be displayed to enable the shared vehicle to collect, candidate shared vehicles collecting the self-learning identification code in the target driving field are determined as target shared vehicles, and the target shared vehicles are related to the self-learning vehicle reservation order.

acquiring evaluation data which is input by the vehicle learning user aiming at least one self-learning vehicle resource recorded in the self-learning vehicle reservation order;

and submitting the evaluation data to the self-learning vehicle service platform so as to extract and associate evaluation keywords corresponding to respective vehicle learning resources.

Specifically, the vehicle learning user can evaluate one or more vehicle learning resources in the vehicle learning reservation order, and the vehicle learning user can evaluate some or all of the vehicle learning resources in one or more vehicle learning resources in the evaluation procedure, under the circumstance, the evaluation keywords of the respective vehicle learning resources can be extracted from the evaluation data formed by evaluation, and the extracted evaluation keywords are associated to the corresponding self-learning vehicle resources, so that the evaluation data can be intelligently distinguished, the vehicle learning user accessing the vehicle learning service platform can conveniently check the evaluation data, the perception degree of the vehicle learning user can be improved, and the user experience of the vehicle learning user can be improved.

Step S202, submitting an access request to a self-learning vehicle service platform according to an access instruction of a vehicle learning user for self-learning vehicle service.

And then, the self-learning vehicle service platform receives an access request submitted by a user terminal of a vehicle learning user through accessing the self-learning vehicle service, constructs the structural resources of the vehicle learning resources selected from the self-learning vehicle resource set according to the user information of the vehicle learning user, and returns a self-learning vehicle resource set containing the constructed structural vehicle learning resources to the user terminal.

And step S210, receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform.

Step S212, the reserved school bus resources selected by the school bus user in the school bus resource set are obtained.

And step S214, submitting a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform.

And then, the self-learning vehicle service platform determines candidate self-learning vehicle resources contained in the structured self-learning vehicle resources as target self-learning vehicle resources according to the structured self-learning vehicle resources to which the reserved self-learning vehicle resources belong corresponding to the reservation request, creates a self-learning vehicle reservation order of the reservation request according to the resource matching result, sends the self-learning vehicle reservation order to the user terminal, and performs reservation synchronization processing on the respective learning vehicle resources recorded in the self-learning vehicle reservation order.

Step S224, obtaining evaluation data recorded by the vehicle learning user aiming at least one vehicle learning resource recorded in the vehicle learning reservation order, and submitting the evaluation data to the vehicle learning service platform.

And then, the self-learning vehicle service platform receives evaluation data submitted by the user terminal aiming at least one self-learning vehicle resource recorded in the self-learning vehicle reservation order, extracts evaluation keywords of the respective learning vehicle resources from the evaluation data, and associates the extracted evaluation keywords with the corresponding self-learning vehicle resources.

Step S302, an access request is submitted to the self-learning vehicle service platform according to an access instruction of the vehicle learning user for the self-learning vehicle service.

And then, the self-learning vehicle service platform receives an access request submitted by a user terminal of a vehicle learning user through accessing the self-learning vehicle service, and returns a self-learning vehicle resource set to the user terminal.

And S308, receiving and displaying the self-learning vehicle resource set returned by the self-learning vehicle service platform.

Step S310, obtaining the reservation coaches selected by the school bus user in the school bus resource set.

And step S312, submitting a reservation request corresponding to a reservation coach to the self-learning vehicle service platform.

And then, the self-learning vehicle service platform screens candidate driving fields matched with the positions of the booking trainers from the candidate driving fields contained in the self-learning vehicle resource set according to the booking trainers corresponding to the booking requests to serve as target driving fields, creates a self-learning vehicle booking order of the booking requests according to a resource matching result, sends the self-learning vehicle booking order to the user terminal, generates self-learning identification codes corresponding to the self-learning vehicle booking order, and synchronizes the self-learning identification codes to the user terminal of the vehicle learning user.

And step S324, receiving the self-learning identification code synchronized by the self-learning vehicle service platform.

And then, the self-learning vehicle service platform determines the candidate sharing vehicles of the self-learning identification codes collected in the target driving field as target sharing vehicles, and associates the target sharing vehicles with the self-learning vehicle reservation orders.

To sum up, the self-learning vehicle reservation processing method provided in this embodiment submits an access request to the self-learning vehicle service platform according to an access instruction of a vehicle learning user for the self-learning vehicle service, receives and displays a self-learning vehicle resource set returned by the self-learning vehicle service platform, submits a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform according to the reserved self-learning vehicle resource selected by the vehicle learning user in the self-learning vehicle resource set, acquires a self-learning vehicle reservation order synchronized after the resource matching processing of the self-learning vehicle service platform for the reservation request, acquires evaluation data entered by the vehicle learning user for at least one self-learning vehicle resource recorded in the self-learning vehicle reservation order during the self-learning driving test, submits the evaluation data to the self-learning vehicle service platform for extracting and associating evaluation keywords corresponding to respective vehicle learning vehicle resources, so as to implement online reservation and transparency of the self-learning vehicle service, the system provides more vehicle learning resources for vehicle learning users, meets various vehicle learning requirements of the vehicle learning users, introduces an evaluation mechanism, supervises and prompts coaches to improve self skills, and provides driving force for effective management of the platform.

The embodiment of the self-learning vehicle reservation processing device provided by the specification is as follows:

in the above embodiment, a self-learning vehicle reservation processing method is provided, and correspondingly, a self-learning vehicle reservation processing device is also provided, which is described below with reference to the accompanying drawings.

Referring to fig. 5, a schematic diagram of a self-learning vehicle reservation processing device provided by the embodiment is shown.

Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.

The embodiment provides a self-learning vehicle reservation processing device, which runs on a self-learning vehicle service platform and comprises:

the request receiving module 502 is configured to receive an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, and return a self-learning vehicle resource set to the user terminal;

the resource matching module 504 is configured to perform resource matching in the self-learning vehicle resource set according to a reserved self-learning vehicle resource corresponding to a reserved request submitted by the user terminal;

an order creation module 506 configured to create a self-learning vehicle reservation order of the reservation request according to the resource matching result;

and the synchronous processing module 508 is configured to perform reservation synchronous processing of the respective school bus resources recorded in the self-learning bus reservation order.

Another embodiment of the device for reserving and processing a self-learning vehicle provided by the present specification is as follows:

Referring to fig. 6, a schematic diagram of a self-learning vehicle reservation processing device provided by the embodiment is shown.

The embodiment provides a self-learning vehicle reservation processing device, which runs on a user terminal and comprises:

the access request submitting module 602 is configured to submit an access request to the self-learning vehicle service platform according to an access instruction of a vehicle learning user for the self-learning vehicle service;

the resource receiving module 604 is configured to receive and display a self-learning vehicle resource set returned by the self-learning vehicle service platform;

a reservation request submitting module 606 configured to submit a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform according to the reserved self-learning vehicle resource selected by the vehicle-learning user in the self-learning vehicle resource set;

the order obtaining module 608 is configured to obtain a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

The embodiment of the self-learning vehicle reservation processing equipment provided by the specification is as follows:

on the basis of the same technical concept, the self-learning vehicle reservation processing device according to one or more embodiments of the present disclosure is further provided for executing the self-learning vehicle reservation processing method, and fig. 7 is a schematic structural diagram of the self-learning vehicle reservation processing device according to one or more embodiments of the present disclosure.

The embodiment provides a self-learning vehicle reservation processing equipment, which comprises:

as shown in FIG. 7, the self-learning vehicle reservation processing device may vary greatly due to different configurations or performances, and may include one or more processors 701 and a memory 702, where the memory 702 may store one or more stored applications or data. Memory 702 may be, among other things, transient storage or persistent storage. The application stored in the memory 702 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in the school bus reservation processing device. Still further, the processor 701 may be configured to communicate with the memory 702 to execute a series of computer-executable instructions in the memory 702 on the self-learning vehicle reservation processing device. The self-learning vehicle reservation processing apparatus may also include one or more power supplies 703, one or more wired or wireless network interfaces 704, one or more input/output interfaces 705, one or more keyboards 706, and the like.

In a particular embodiment, the self-learning vehicle reservation processing device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the self-learning vehicle reservation processing device, and the one or more programs configured for execution by the one or more processors include computer-executable instructions for:

receiving an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, and returning a self-learning vehicle resource set to the user terminal;

according to the reserved self-learning vehicle resources corresponding to the reservation request submitted by the user terminal, resource matching is carried out in the self-learning vehicle resource set;

creating a self-learning vehicle reservation order of the reservation request according to a resource matching result;

and performing reservation synchronous processing on the respective vehicle learning resources recorded in the self-learning vehicle reservation order.

Another embodiment of the vehicle reservation processing device provided in this specification is as follows:

on the basis of the same technical concept, the self-learning vehicle reservation processing device according to one or more embodiments of the present disclosure is further provided for executing the self-learning vehicle reservation processing method, and fig. 8 is a schematic structural diagram of the self-learning vehicle reservation processing device according to one or more embodiments of the present disclosure.

as shown in FIG. 8, the self-learning vehicle reservation processing device may vary widely in configuration or performance and may include one or more processors 801 and a memory 802, where the memory 802 may store one or more stored applications or data. Wherein the memory 802 may be a transient storage or a persistent storage. The application stored in the memory 802 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in the school bus reservation processing device. Still further, the processor 801 may be configured to communicate with the memory 802 to execute a series of computer-executable instructions in the memory 802 on the self-learning vehicle reservation processing device. The self-learning vehicle reservation processing apparatus may also include one or more power supplies 803, one or more wired or wireless network interfaces 804, one or more input/output interfaces 805, one or more keyboards 806, and the like.

submitting an access request to a self-learning vehicle service platform according to an access instruction of a vehicle learning user for self-learning vehicle service;

receiving and displaying a self-learning vehicle resource set returned by the self-learning vehicle service platform;

submitting an appointment request corresponding to the appointed self-learning vehicle resource to the self-learning vehicle service platform according to the appointed self-learning vehicle resource selected by the vehicle-learning user in the self-learning vehicle resource set;

and acquiring a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

An embodiment of a storage medium provided in this specification is as follows:

on the basis of the same technical concept, one or more embodiments of the present specification further provide a storage medium corresponding to the self-learning vehicle reservation processing method described above.

The storage medium provided in this embodiment is used to store computer-executable instructions, and when the computer-executable instructions are executed by the processor, the following processes are implemented:

It should be noted that the embodiment of the storage medium in this specification and the embodiment of the self-learning vehicle reservation processing method in this specification are based on the same inventive concept, and therefore, for specific implementation of this embodiment, reference may be made to implementation of the foregoing corresponding method, and repeated details are not repeated.

Another storage medium embodiment provided in this specification is as follows:

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

In the 30 s of the 20 th century, improvements in a technology could clearly be distinguished between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: the ARC625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.

One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.

Claims

1. A self-learning vehicle reservation processing method is applied to a self-learning vehicle service platform and comprises the following steps:

2. The self-learning vehicle reservation processing method according to claim 1, wherein the set of self-learning vehicle resources consists of self-learning vehicle resources;

wherein the self-learning vehicle resources comprise at least one of the following: shared vehicles, coaches, driving grounds and driving subjects.

3. The self-learning vehicle reservation processing method according to claim 1, wherein the self-learning vehicle resource set is determined by the following method:

4. The self-learning vehicle reservation processing method according to claim 1, wherein the resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal comprises:

according to a reservation coach corresponding to the reservation request, screening a candidate driving field matched with the position of the reservation coach from candidate driving fields contained in the self-learning vehicle resource set as a target driving field;

correspondingly, the reservation and synchronization processing of the respective vehicle learning resources recorded in the self-learning vehicle reservation order includes:

determining candidate shared vehicles of the self-learning identification codes collected in the target driving field as target shared vehicles, and associating the target shared vehicles with the self-learning vehicle reservation orders.

5. The self-learning vehicle reservation processing method according to claim 1, wherein the resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal comprises:

according to the reserved driving subjects corresponding to the reserved requests, determining candidate driving places, matched with the reserved driving subjects, in the self-learning vehicle resource set as target driving places, and taking driving areas corresponding to the reserved driving subjects in the target driving places as target driving areas;

alternatively, the first and second electrodes may be,

6. The self-learning vehicle reservation processing method according to claim 1, wherein the resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal comprises:

according to the appointed driving subjects and the appointed driving fields corresponding to the appointed requests, selecting candidate trainers matched with the appointed driving subjects as target trainers according to evaluation data of the candidate trainers concentrated by the self-learning vehicle resources;

alternatively, the first and second electrodes may be,

7. The self-learning vehicle reservation processing method according to claim 1, the returning of the self-learning vehicle resource set to the user terminal comprises:

returning a self-learning vehicle resource set containing the constructed structured self-learning vehicle resources to the user terminal;

correspondingly, the resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal comprises the following steps:

8. The self-learning vehicle reservation processing method according to claim 1, further comprising:

and extracting the evaluation keywords of the respective learning vehicle resources from the evaluation data according to the evaluation data submitted by the user terminal aiming at least one self-learning vehicle resource recorded in the self-learning vehicle reservation order, and associating the extracted evaluation keywords with the corresponding self-learning vehicle resources.

9. The self-learning vehicle reservation processing method according to claim 1, wherein a shared vehicle in the self-learning vehicle resource set is configured with driving assistance equipment, and the driving assistance equipment is configured after the shared vehicle obtains self-learning driving test admittance qualification;

and the self-learning vehicle service platform carries out data communication with the client of the self-learning vehicle service installed on the vehicle terminal of the shared vehicle, and carries out authority control on the driving auxiliary equipment configured by the shared vehicle.

10. The vehicle learning appointment processing method according to claim 1, wherein the vehicle learning user has an application qualification for applying for participation in self-learning driving test to a vehicle management mechanism when a task completion degree for a vehicle learning task meets a preset condition, or after the vehicle learning user completes a vehicle learning task set by the vehicle management mechanism;

and the vehicle learning user obtains the driving voucher issued by the vehicle management mechanism after passing the self-learning driving test.

11. A self-learning vehicle reservation processing method is applied to a user terminal and comprises the following steps:

12. The self-learning vehicle reservation processing method according to claim 11, the set of self-learning vehicle resources consisting of self-learning vehicle resources;

13. The self-learning vehicle reservation processing method according to claim 11, the self-learning vehicle resource set is determined by:

14. The self-learning vehicle reservation processing method according to claim 11, further comprising:

15. The self-learning vehicle reservation processing method according to claim 11, wherein the shared vehicle in the self-learning vehicle resource set is configured with driving assistance equipment, and the driving assistance equipment is configured after the shared vehicle obtains the self-learning driving test admittance qualification;

16. The self-learning vehicle appointment processing method according to claim 11, wherein the vehicle learning user has an application qualification for applying for participation in self-learning driving test to the vehicle management mechanism when a task completion degree for a vehicle learning task meets a preset condition, or after the vehicle learning user completes a vehicle learning task set by the vehicle management mechanism;

17. The utility model provides a self-study car reservation processing apparatus, the operation is in self-study car service platform, includes:

the request receiving module is configured to receive an access request submitted by a user terminal of a vehicle learning user through accessing a self-learning vehicle service, and return a self-learning vehicle resource set to the user terminal;

the resource matching module is configured to perform resource matching in the self-learning vehicle resource set according to the reserved self-learning vehicle resource corresponding to the reservation request submitted by the user terminal;

the order creating module is configured to create a self-learning vehicle reservation order of the reservation request according to a resource matching result;

and the synchronous processing module is configured to perform reservation synchronous processing on the respective school bus resources recorded in the self-learning bus reservation order.

18. A self-learning vehicle reservation processing device runs on a user terminal and comprises:

the access request submitting module is configured to submit an access request to the self-learning vehicle service platform according to an access instruction of a vehicle learning user for the self-learning vehicle service;

the resource receiving module is configured to receive and display a self-learning vehicle resource set returned by the self-learning vehicle service platform;

the reservation request submitting module is configured to submit a reservation request corresponding to the reserved self-learning vehicle resource to the self-learning vehicle service platform according to the reserved self-learning vehicle resource selected by the vehicle-learning user in the self-learning vehicle resource set;

and the order acquisition module is configured to acquire a self-learning vehicle reservation order synchronized after the self-learning vehicle service platform performs resource matching processing on the reservation request.

19. A self-learning vehicle appointment processing apparatus comprising:

a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to:

20. A self-learning vehicle appointment processing apparatus comprising:

21. A storage medium storing computer-executable instructions that when executed by a processor implement the following:

22. A storage medium storing computer-executable instructions that when executed by a processor implement the following: