CN108960590A - Vehicle leasing method, apparatus, computer equipment and storage medium - Google Patents

Vehicle leasing method, apparatus, computer equipment and storage medium Download PDF

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Publication number
CN108960590A
CN108960590A CN201810619962.3A CN201810619962A CN108960590A CN 108960590 A CN108960590 A CN 108960590A CN 201810619962 A CN201810619962 A CN 201810619962A CN 108960590 A CN108960590 A CN 108960590A
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China
Prior art keywords
lease
vehicle
shared vehicle
terminal
point
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CN201810619962.3A
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Chinese (zh)
Inventor
陈颖聪
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Priority to CN201810619962.3A priority Critical patent/CN108960590A/en
Priority to PCT/CN2018/104768 priority patent/WO2019237522A1/en
Publication of CN108960590A publication Critical patent/CN108960590A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0645—Rental transactions; Leasing transactions

Abstract

This application involves a kind of vehicle leasing method, apparatus, computer equipment and storage mediums.The described method includes: obtaining the map of monitoring area, multiple lease points are determined in monitoring area according to the map；It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves data；Shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to the conventional requirement amount of shared vehicle；According to conventional requirement amount, monitoring area is generated in the lease strategy of multiple monitoring periods in current monitor period；It identifies whether shared vehicle reaches lease point, resource transfers is carried out based on user of the lease strategy to the shared vehicle for reaching lease point.Shared vehicle leasing cost can reduce using this method, improve shared vehicle leasing efficiency.

Description

Vehicle leasing method, apparatus, computer equipment and storage medium
Technical field
This application involves field of computer technology, more particularly to a kind of vehicle leasing method, apparatus, computer equipment and Storage medium.
Background technique
The shared vehicles such as shared bicycle, shared automobile have become trip mode emerging in city, can effectively meet The trip requirements of Urban population.But the vehicle leasing mode based on traditional mode, it is difficult to which the effective mobility for guaranteeing shared vehicle is led Cause the problem of vehicle utilization deficiency.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of migration for being conducive to shared vehicle, improving vehicle makes With vehicle leasing method, apparatus, computer equipment and the storage medium of rate.
A kind of vehicle leasing method, which comprises the map for obtaining monitoring area, according to the map in the prison Control region determines multiple lease points；It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves number According to；The shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to shared The conventional requirement amount of vehicle；According to the conventional requirement amount, the monitoring area is generated in the multiple monitoring of current monitor period The lease strategy of section；Identify whether shared vehicle reaches the lease point, based on the lease strategy to the institute for reaching lease point The user for stating shared vehicle carries out resource transfers.
It is described in one of the embodiments, that multiple lease points are determined in the monitoring area according to the map, comprising: The monitoring area is divided into multiple subregions；The distribution letter of the building in each subregion is obtained according to the map Breath；The vehicle that each subregion is obtained in the history monitoring period averagely parks quantity；By the building distributed intelligence And the vehicle averagely parks the subregion that quantity is all satisfied preset condition, is determined as a rent of the monitoring area It rents a little.
The multiple lease points of the acquisition monitor the shared of multiple monitoring periods in period in history in one of the embodiments, Vehicle enters and leaves data, comprising: pulls the operation behavior day to shared vehicle application program that terminal is generated in multiple monitoring periods Will；The operation behavior log is parsed, multiple operation behavior fields are obtained；The operation behavior field includes operation mark Knowledge, operating time and operating position；It will be identified as the monitoring period operating time, operating position is identified as the lease Point；To multiple lease points, the corresponding practical operation number of each operation mark counts respectively within each monitoring period, will Statistical result enters and leaves data as the shared vehicle.
In one of the embodiments, it is described based on the lease strategy to the user of the shared vehicle for reaching lease point into Before row resource transfers, further includes: receive the vehicle reservation request that terminal is sent, respond the vehicle reservation request for storage Shared vehicle distribution map is sent to the terminal；The shared vehicle distribution map includes multiple vehicle icons；Terminal is captured in institute State the selected operation to the vehicle icon that shared vehicle distribution map occurs；Identify the corresponding vehicle icon of the selected operation Lease point within the scope of pre-determined distance is swashed based on the lease point recognized and lease strategy generating excitation prompt by described It encourages prompt and is sent to the terminal.
The use based on the lease strategy to the shared vehicle for reaching the lease point in one of the embodiments, Family carries out before resource transfers, further includes: is receiving when being requested with vehicle of terminal transmission, start recording running data；It is described Running data includes the traveling starting point and travel route of this trip；According to the travel route, it is pre- that real-time detection shares vehicle If with the presence or absence of lease point in distance range；If so, according to the rent within the scope of the lease strategy, traveling starting point and pre-determined distance It rents a little, predicts this available driver resource of going on a journey；Excitation prompt is generated based on the driver resource, excitation prompt is pushed away It send to the terminal.
The lease strategy has recorded a variety of excitation conditions in one of the embodiments, and every kind of excitation condition is corresponding Driver resource；It is described that resource transfers, packet are carried out based on user of the lease strategy to the shared vehicle for reaching the lease point It includes: receiving when being requested with vehicle of terminal transmission, start recording running data；In the request of returning the car for receiving terminal transmission When, terminate record running data；The running data includes the traveling terminal and running time of this trip；Judge the traveling Whether terminal belongs to the lease point, is denoted as target lease point；If so, determining the corresponding current prison of the running time The period is controlled, conventional requirement amount of the target lease point in next monitoring period to the shared vehicle is obtained；According to described Conventional requirement amount identifies this excitation condition that can satisfy of going on a journey；Obtain the corresponding driver resource of the excitation condition；It is based on The driver resource corresponds to user identifier to the terminal and carries out resource transfers；Otherwise, identification the traveling terminal preset away from The excitation is prompted based on the lease point recognized and lease strategy generating excitation prompt from the lease point in range It is sent to the terminal.
The lease strategy has recorded a variety of excitation conditions in one of the embodiments, and every kind of excitation condition is corresponding Driver resource；The method also includes: receive the excitation predictions request of terminal transmission；The excitation predictions request includes plan row Sail starting point, projected trip terminal and projected trip time；Judge whether the projected trip terminal belongs to the lease point, It is denoted as target lease point；If so, generating navigation routine according to the projected trip starting point and the projected trip terminal；According to The navigation routine calculates this corresponding traveling duration of plan trip；The target lease point is obtained in the projected trip Conventional requirement amount of the time corresponding next monitoring period to shared vehicle；According to the traveling duration and the conventional requirement Amount identifies the excitation condition that this plan trip can satisfy；The corresponding driver resource of the excitation condition is obtained, will acquire Driver resource feed back to the terminal as prediction result.
A kind of vehicle leasing device, described device includes: lease point determining module, for obtaining the map of monitoring area, Multiple lease points are determined in the monitoring area according to the map；Demand calculates module, exists for acquiring multiple lease points The shared vehicle that history monitors multiple monitoring periods in period enters and leaves data；The shared vehicle is entered and left into data and inputs preset vehicle Lease model, determines multiple lease points respectively to the conventional requirement amount of shared vehicle；Policy generation module is leased, is used for According to the conventional requirement amount, the monitoring area is generated in the lease strategy of multiple monitoring periods in current monitor period；Excitation Resource transfers module shares whether vehicle reaches the lease point for identification, leases point to arrival based on the lease strategy The shared vehicle user carry out resource transfers.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing Device performs the steps of the map for obtaining monitoring area when executing the computer program, according to the map in the monitoring Region determines multiple lease points；It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves number According to；The shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to shared The conventional requirement amount of vehicle；According to the conventional requirement amount, the monitoring area is generated in the multiple monitoring of current monitor period The lease strategy of section；Identify whether shared vehicle reaches the lease point, based on the lease strategy to the institute for reaching lease point The user for stating shared vehicle carries out resource transfers.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor The map for obtaining monitoring area is performed the steps of when row, and multiple lease points are determined in the monitoring area according to the map； It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves data；The shared vehicle is entered and left Data input preset vehicle leasing model, determine multiple lease points respectively to the conventional requirement amount of shared vehicle；According to The conventional requirement amount generates the monitoring area in the lease strategy of multiple monitoring periods in current monitor period；Identification is shared Whether vehicle reaches the lease point, is provided based on user of the lease strategy to the shared vehicle for reaching lease point Source transfer.
Above-mentioned vehicle leasing method, apparatus, computer equipment and storage medium, according to the map of monitoring area, Ke Yi The monitoring area determines multiple lease points；Based on multiple lease points in history monitoring period multiple shared vehicles for monitoring the periods Data are entered and left, the preset each lease point of vehicle leasing model prediction is can use in the current monitor period and accordingly monitors the period pair The conventional requirement amount of shared vehicle；According to conventional requirement amount, each lease point can be generated in the multiple monitoring of current monitor period The lease strategy of period；By being monitored to whether the shared vehicle of trip reaches the lease point, the rent can be based on Strategy of renting carries out resource transfers to the user for the shared vehicle for reaching lease point.In the monitoring area being periodically dynamically determined Lease point, and each lease point calculates the conventional requirement amount of shared vehicle, and then updated and rented according to results of measuring It rents strategy, migration or route transition etc. can be built according to monitoring area in time and carry out lease Developing Tactics, it is accurate to improve scheduling Property.Shared vehicle transfer is carried out between multiple lease points based on lease strategy excitation vehicle user, and vehicle use can be improved Rate.
Detailed description of the invention
Fig. 1 is the application scenario diagram of vehicle leasing method in one embodiment；
Fig. 2 is the flow diagram of vehicle leasing method in one embodiment；
Fig. 3 A is the structural block diagram of vehicle leasing device in one embodiment；
Fig. 3 B is the structural block diagram of vehicle leasing device in another embodiment；
Fig. 3 C is the structural block diagram of vehicle leasing device in another embodiment；
Fig. 4 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.
Vehicle leasing method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, terminal 102 It is communicated with server 104 by network.Wherein, terminal 102 can be, but not limited to be various personal computers, notebook electricity Brain, smart phone, tablet computer and portable wearable device, server 104 can be either multiple with independent server The server cluster of server composition is realized.Server 104 is periodically updated to the lease plan for sharing vehicle in monitoring area Slightly.Specifically, server 104 obtains the map of monitoring area, multiple lease points are determined in monitoring area according to the map.Terminal Shared vehicle application program is mounted on 102.It pre-sets and is buried a little in shared vehicle application program, it can be to the operation of user Behavioral data is acquired.Server 104 obtains multiple lease points by the operation behavior data statistic analysis to a large number of users Data are entered and left in the shared vehicle of multiple monitoring periods in history monitoring period.Shared vehicle is entered and left data input by server 104 Preset vehicle leasing model, determines multiple lease points respectively to the conventional requirement amount of shared vehicle, according to conventional requirement amount and Map generates monitoring area in the lease strategy of multiple monitoring periods in current monitor period.Receive the transmission of terminal 102 uses vehicle When request, 104 start recording running data of server.At the end of traveling, whether the identification traveling terminal of server 104 is located at one A lease point, that is, identify whether shared vehicle reaches lease point.If reaching lease point, server 104 is based on the current monitor period The lease strategy of current monitor period carries out resource transfers to the user for the shared vehicle for reaching lease point.Above-mentioned vehicle leasing mistake Journey according to the lease point in the monitoring area being periodically dynamically determined and its generates lease plan to the conventional requirement amount of shared vehicle Slightly, the tactful accuracy of lease can be improved；Based on lease, strategy excitation user oneself carries out shared vehicle between multiple lease points Transfer, vehicle utilization can be improved.
In one embodiment, as shown in Fig. 2, providing a kind of vehicle leasing method, it is applied in Fig. 1 in this way It is illustrated for server, comprising the following steps:
Step 202, the map of monitoring area is obtained, determines multiple lease points in monitoring area according to the map.
Monitoring area refers to the geographic area for carrying out shared vehicle leasing, as unit of can be Yi Shi, county or area Region, if monitoring area A can be Shenzhen, monitoring area B can be Nanshan District, Shenzhen City etc., with no restriction to this.Monitoring The map in region be according to a certain percentage with the descriptions such as lines, symbol, color, text annotation show route in monitoring area, The figure of building, mountains and rivers river equal distribution situation.Building can be public place, such as park, bus platform, subway station, train It stands.
The distributed intelligence of route and building in the monitoring area that server is recorded according to monitoring area map, in monitoring area The interior multiple lease points of determination.Monitoring area can be divided into multiple subregions according to region area etc..Lease point refers to monitoring The big subregion of building distribution concentration, the volume of the flow of passengers in region, if the lease point in monitoring area B may include Technology Park B1, sea Bank city B2 etc..Each lease point has corresponding regional boundary line, and the regional boundary line of such as lease point Technology Park B1 may is that Nanshan District On the south Beihuan road, reside abroad to the west of the road of the west of a city, to the north of Binhai Road, region to the east of the main road Hou Hai and Shenzhen University.
It is worth noting that, the present embodiment server redefined every a monitoring period it is more in a monitoring area A lease point improves scheduling accuracy to carry out lease point adjustment according to building migration or route transition etc. in time.Monitor the period It can freely set according to demand, such as 1 month.
Step 204, it acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves data.
Monitoring the period includes multiple monitoring periods, and such as monitoring period 1 can be 7:00~9:00, and the monitoring period 2 can be 9:00~11:00 etc..The monitoring period can also distinguish working day and festivals or holidays, and such as monitoring period 3 can be working day 7:00~9:00, monitoring period 4 can be working day 9:00~12:00, and the monitoring period 5 can be festivals or holidays 10:00~12:00 Deng.The duration of monitoring period can according to need free setting, and the duration of different monitoring period can be different.In addition, different rent Renting a corresponding monitoring period can be different to the division of monitoring period.
Server once calculates multiple lease points to the conventional requirement amount of shared vehicle every a monitoring period, And lease policy update is carried out according to results of measuring.Specifically, server, which is based on lease point, monitors period different monitoring in history The shared vehicle of period enters and leaves data, predicts routine of the lease point in the different monitoring period in current monitor period to shared vehicle Demand.Shared vehicle enters and leaves data and shares vehicle application program at the terminal when can be to a large number of users using shared vehicle Operation behavior data statistic analysis obtain.Operation behavior data include multiple operation marks, such as vehicle reservation, barcode scanning solution Lock, vehicle are shut.In another embodiment, operation mark further includes vehicle application.It is increased newly in shared vehicle application program " vehicle application " button, with facilitate vehicle user actively to some monitoring area share vehicle carried out the case where supply falls short of demand and When feed back.It includes the practical operation time that different operation of each lease point in the different monitoring period identifies that shared vehicle, which enters and leaves data, Number.
Step 206, shared vehicle is entered and left into data and inputs preset vehicle leasing model, determine that multiple lease points are right respectively The conventional requirement amount of shared vehicle.
Each lease point is respectively provided with corresponding vehicle leasing model in multiple monitoring periods in monitoring period.For example, In the example above, vehicle leasing model of the lease point Technology Park B1 in the monitoring period 3 can be B1-3, in the vehicle of monitoring period 4 Lease model can be B1-4.The history monitoring period can be the one or more monitoring periods before the current monitor period. Shared vehicle discrepancy data of the server by a lease point in some monitoring period in history monitoring period input the lease point and exist The vehicle leasing model of corresponding monitoring period, can determine the lease point in the same monitoring period in current monitor period to shared vehicle Conventional requirement amount.Conventional requirement amount is the quantity that lease point usually requires shared vehicle in the monitoring period.
The vehicle leasing model in current monitor period, which can be, learns mould to general-purpose machinery using multiple training sample data Type training obtains.Specifically, server obtains a lease point in the training sample data of some monitoring period.Training sample Data can be lease point and accordingly monitor period actual shared vehicle discrepancy data in the history monitoring period, be also possible to write Lease point accordingly monitoring the period simulation shared vehicle enter and leave a data.It is corresponding that server marks every group of training sample data Shared vehicle demand, i.e., add corresponding demand label for every group of training sample data.Server is by number of training According to input general-purpose machinery learning model, predicted required amount is obtained.General-purpose machinery learning model can be VGG (Visual Geometry Group vision collection is combined) (efficiency is commented by network model, GoogleNet (Google's network) network model or ResNet Estimate system) network model etc..General-purpose machinery learning model includes multiple model parameters.Server calculates predicted required amount and demand The difference for measuring label, according to the model parameter of discrepancy adjustment general-purpose machinery learning model and continues to train, and stops until meeting training Only terminate to train when condition, obtains the vehicle leasing model that the lease point accordingly monitors the period in the current monitor period.Server Training obtains each lease point in corresponding vehicle leasing mould of multiple monitoring periods in current monitor period in the manner described above Type.
In another embodiment, some multiple prison of lease point is being calculated based on shared vehicle discrepancy data in server Control the period to the conventional requirement amount of shared vehicle after, can according to the building distributed intelligence of the lease point, density of population information or Shared vehicle history is parked information etc. and is adjusted to conventional requirement amount, to improve the measuring and calculating accuracy of conventional requirement amount.
Step 208, according to conventional requirement amount, monitoring area is generated in the lease plan of multiple monitoring periods in current monitor period Slightly.
Conventional requirement amount of the server based on lease point in some monitoring period in current monitor period to shared vehicle, generation The lease point accordingly monitors the lease strategy of period in the current monitor period.Lease strategy has recorded a variety of excitation conditions and every kind The driver resource of the corresponding different shares of excitation condition.Excitation condition can be many indexes combination, such as travel duration, traveling road Line, traveling terminal are to lease the corresponding lease point of point, traveling terminal to the conventional requirement amount of shared vehicle and the group of the current amount of parking Close etc..Driver resource can be fund resources or permission resource etc..Wherein, fund resources can be coupons resource, red packet money Source etc., with no restriction to this.
Step 210, identify whether shared vehicle reaches lease point, based on lease strategy to the shared vehicle for reaching lease point User carry out resource transfers.
Within the current monitor period, server is monitored the service condition that vehicle is shared in monitoring area, identifies Whether capable shared vehicle reaches lease point.If so, lease of the server according to the shared vehicle driving time corresponding monitoring period Strategy carries out resource transfers to the user for sharing vehicle, to motivate vehicle user itself to be scheduled shared vehicle.It is based on Lease strategy excitation vehicle user carries out vehicle distribution schedule between multiple lease points, not only reduces vehicle scheduling cost, also Vehicle scheduling efficiency can be improved.
In the present embodiment, according to the map of monitoring area, multiple lease points can be determined in monitoring area；Based on multiple rents The shared vehicle a little in multiple monitoring periods in history monitoring period of renting enters and leaves data, and it is pre- to can use preset vehicle leasing model Survey the conventional requirement amount that each lease point accordingly monitors the period to shared vehicle in the current monitor period；According to conventional requirement amount, Each lease point can be generated in the lease strategy of multiple monitoring periods in current monitor period；By being to the shared vehicle of trip No arrival lease point is monitored, and can be carried out resource based on user of the lease strategy to the shared vehicle for reaching lease point and be turned It moves.Lease point in the monitoring area being periodically dynamically determined, and to each lease point to the conventional requirement amount of shared vehicle into Row measuring and calculating, and then according to results of measuring more fresh tenancy strategy, migration or route transition etc. can be built according to monitoring area in time Lease Developing Tactics are carried out, scheduling accuracy is improved.It is carried out between multiple lease points based on lease strategy excitation vehicle user Shared vehicle transfer, can be improved vehicle utilization.
In one embodiment, multiple lease points are determined in monitoring area according to the map, comprising: be divided into monitoring area Multiple subregions；The building distributed intelligence in each subregion is obtained according to the map；It obtains each subregion and monitors week in history The vehicle of phase averagely parks quantity；The sub-district that quantity is all satisfied preset condition is averagely parked into building distributed intelligence and vehicle Domain is determined as a lease point of monitoring area.
Server obtains the map of monitoring area, carries out region division according to conditions such as region areas on map, will supervise Control region is divided into multiple subregions.Server obtains the building distributed intelligence in each subregion according to the map.Building point Cloth information includes architecture character matter, construction scope and building distribution concentration degree etc..Building property includes civil buildings and industrial building Deng.Wherein, civil buildings not only include the residential housings such as residential block, office building, further include hospital, library, station, shop, The public buildings such as park.Construction scope refers to the shared spatial volume of building.Building distribution concentration degree refers in unit area area Average asd number.The location information in multiple shared vehicle history monitoring periods of the server based on record, counts every height Vehicle of the region in the history monitoring period averagely parks quantity.The building distribution concentration degree of civil buildings is reached first by server Threshold value, construction scope reach second threshold, and vehicle, which averagely parks quantity and reaches each subregion of third threshold value, to be determined as monitoring One lease point in region.
In another embodiment, server can also the density of population to each subregion, people be accustomed to trip tool Etc. information counted, for leasing determination a little, further increase the determining accuracy of lease point.
In the present embodiment, monitoring is determined according to the information that the multiple dimensions of quantity are averagely parked in building distributed intelligence and vehicle The determining accuracy of lease point can be improved in the lease point in region.
In one embodiment, shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period is acquired to enter and leave Data, comprising: pull the operation behavior log to shared vehicle application program that terminal is generated in multiple monitoring periods；To operation User behaviors log is parsed, and multiple operation behavior fields are obtained；Operation behavior field includes operation mark, operating time and operation Position；It will be identified as the monitoring period operating time, operating position is identified as lease point；To multiple lease points in each monitoring The corresponding practical operation number of each operation mark is counted respectively in section, using statistical result as shared vehicle discrepancy number According to.
Terminal a little collects user in the operation behavior data of shared vehicle application program, by operation behavior based on preset bury Data are recorded in operation behavior log.Server is when monitoring period arrival, when multiple terminals pull multiple monitoring respectively The operation behavior log of Duan Shengcheng, parses operation behavior log, obtains the operation behavior data of multiple users.Such as table one Shown, operation behavior data mainly include that user identifier and corresponding user carry out vehicle reservation, vehicle application, barcode scanning unlock, vehicle Operation mark, operating time and the operating position of operations such as shut.Vehicle, which is shut, can be in shared vehicle application program Shut operation, be also possible to share vehicle application program after user shuts manually on shared vehicle to receive to shut and successfully mention Show.
Table one
Multiple monitoring periods and multiple lease point of the server according to the current monitor period, each operating time is replaced with Each operating position is replaced with the lease point nearest apart from the operating position by the monitoring period belonging to the operating time.In this way, Above-mentioned table one can be converted into such as following table two:
Table two
User identifier Operation mark Monitor the period Lease point
User's first Vehicle reservation Working day 7:00~9:00 A
User's first Vehicle application Working day 7:00~9:00 A
User's first Barcode scanning unlock Working day 7:00~9:00 A
… … … …
User's second Barcode scanning unlock Working day 17:00~19:00 B
User's second Vehicle is shut Working day 17:00~19:00 C
User's second Barcode scanning unlock Working day 17:00~19:00 C
Server carries out statistical disposition to operation behavior data.Specifically, server is to each lease point in multiple monitoring The number that different operation occurs respectively for the period is counted, i.e., identifies corresponding practical operation number to different operation and unite Meter obtains monitoring area in the shared vehicle in history monitoring period and enters and leaves data, as shown in Table 3:
Table three
In another embodiment, server enters and leaves data to shared vehicle and carries out 01 standardization.Specifically, service Device using Min-Max Standardization Act (extreme value standardization), Z-score Standardization Act or Decimal scalling, (calibrate by decimal Standardization) the methods of each field in data (mark three) entered and left to shared vehicle be converted into the number between [0,1].Logarithm Data analysis precision can be improved according to being standardized.
In the present embodiment, pass through the operation behavior data statistics point to a large amount of vehicle users to shared vehicle application program Analysis can understand the discrepancy situation that the monitoring area shares vehicle in the history monitoring period, to a certain extent so as to unite It counts shared vehicle of the result as monitoring area in the history monitoring period and enters and leaves data.
In one embodiment, based on lease strategy to reach lease point shared vehicle user carry out resource transfers it Before, further includes: the vehicle reservation request that terminal is sent is received, the shared vehicle distribution map of storage is sent out in response vehicle reservation request It send to terminal；Shared vehicle distribution map includes multiple vehicle icons；Terminal is captured in shared vehicle distribution map generation to vehicle The selected operation of icon；The selected lease point operated within the scope of corresponding vehicle icon pre-determined distance of identification, based on what is recognized Lease point and lease strategy generating excitation prompt, are sent to terminal for excitation prompt.
When user needs using shared vehicle driving, can be carried out in advance based on the shared vehicle application program in terminal Vehicle reservation.Shared vehicle application program is operated according to vehicle reservation generates vehicle reservation request, and vehicle reservation is requested to send To server.Vehicle reservation requests to have received the location information of terminal.Server responds vehicle reservation request, obtains shared vehicle Shared vehicle distribution map is sent to terminal by distribution map.Shared vehicle distribution map includes terminal position pre-determined distance range The corresponding vehicle icon of interior multiple shared vehicles.User can be by selecting some vehicle figure in shared vehicle distribution map Mark realizes the reservation to corresponding shared vehicle.Server captures user in shared vehicle distribution map generation to vehicle icon Selected operation；The selected one or more lease points operated within the scope of corresponding vehicle icon pre-determined distance of identification.
Server predicts the difference being moved to shared vehicle from current location within the scope of pre-determined distance according to lease strategy Lease point, it is possible to create driver resource.Specifically, the lease point that server obtains within the scope of shared vehicle pre-determined distance is being worked as It is multiple that the preceding period shares current amount of parking of vehicle etc. in present period to the conventional requirement amount of shared vehicle and the lease point The information of dimension identifies the excitation condition that the information of multiple dimensions can satisfy according to lease strategy.If not being able to satisfy any sharp Condition is encouraged, then does not generate scheduling excitation.If meeting excitation condition, server obtains the corresponding driver resource of excitation condition.Clothes Business device obtains in the manner described above leases a point difference from the difference that current location is moved within the scope of pre-determined distance for shared vehicle Issuable driver resource.Server is based on multiple lease points and corresponding scheduling excitation generates excitation prompt, will swash It encourages prompt and pushes to terminal, to prompt vehicle user actively by shared vehicle parking to the lease big to shared vehicle demand Point.
In the present embodiment, when vehicle user carries out shared vehicle reservation, the lease point near current location is identified, according to The corresponding lease strategy generating excitation prompt of the lease point, prompts vehicle user by shared vehicle parking to shared vehicle demand The driver resource that the big lease point of amount is likely to be obtained, so that improving vehicle user carries out vehicle leasing enthusiasm.
In one embodiment, based on lease strategy to reach lease point shared vehicle user carry out resource transfers it Before, further includes: receiving when being requested with vehicle of terminal transmission, start recording running data；Running data includes this trip Traveling starting point and travel route；According to travel route, real-time detection is shared within the scope of vehicle pre-determined distance with the presence or absence of lease Point；If so, predicting this available excitation of going on a journey according to the lease point within the scope of lease strategy, traveling starting point and pre-determined distance Resource；Excitation prompt is generated based on driver resource, excitation prompt is pushed into terminal.
It, can be based on the shared vehicle application program barcode scanning solution in terminal when user needs using shared vehicle driving Lock, shared vehicle application program unlock operation generation according to barcode scanning and are requested with vehicle, will be requested to be sent to server with vehicle.Server Response is requested with vehicle, start recording running data.Running data includes this traveling starting point gone on a journey and the traveling travelled Route.According to travel route, server can obtain the current location of shared vehicle in real time.Server is according to preset time frequency It detects within the scope of shared vehicle pre-determined distance with the presence or absence of lease point.Preset time frequency can with comprehensive server detect resource with And detection accuracy setting, such as 1 minute.
If detecting within the scope of shared vehicle pre-determined distance there is lease point, according to the prediction of lease strategy, this goes out server The available driver resource of row.Specifically, server obtains the lease point within the scope of shared vehicle pre-determined distance in present period pair The conventional requirement amount of shared vehicle and the lease point share the letter of multiple dimensions such as the current amount of parking of vehicle in present period Breath identifies the excitation condition that the information of multiple dimensions can satisfy according to lease strategy.If not being able to satisfy any excitation condition, Do not generate scheduling excitation.If meeting excitation condition, server obtains the corresponding driver resource of excitation condition, based on what is got Driver resource generate excitation prompt, will excitation prompt push to terminal, with prompt vehicle user actively by shared vehicle parking extremely The lease point big to shared vehicle demand.
In the present embodiment, when vehicle user is using shared vehicle driving, real-time monitoring shares current vehicle position, and knows Lease point near other current location prompts vehicle user will according to the corresponding lease strategy generating excitation prompt of the lease point The driver resource that shared vehicle parking is likely to be obtained to the lease point big to shared vehicle demand, thus improve vehicle user into Row vehicle leasing enthusiasm.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；Resource transfers are carried out based on user of the lease strategy to the shared vehicle for reaching lease point, comprising: are sent receiving terminal When being requested with vehicle, start recording running data；Receive terminal transmission return the car request when, terminate record running data； Running data includes the traveling terminal and running time of this trip；Judge to travel whether terminal belongs to a lease point, be denoted as Target leases point.If so, executing if so, determining the running time corresponding current monitoring period, acquisition target lease point is under Conventional requirement amount of one monitoring period to shared vehicle；According to conventional requirement amount, this excitation that can satisfy of going on a journey is identified Condition；The corresponding driver resource of excitation condition is obtained, user identifier is corresponded to terminal based on driver resource and carries out resource transfers；It is no Then, the lease point within the scope of traveling terminal pre-determined distance is identified, based on the lease point and lease strategy generating excitation recognized Excitation prompt is sent to terminal by prompt.
It, can be based on the shared vehicle application program barcode scanning solution in terminal when user needs using shared vehicle driving Lock, shared vehicle application program unlock operation generation according to barcode scanning and are requested with vehicle, will be requested to be sent to server with vehicle.Server Response is requested with vehicle, start recording running data.Running data includes running time, traveling duration and the traveling road of this trip Line etc..Travel route includes traveling starting point and traveling terminal.Server judges to travel whether terminal is located at where a lease point Position.If it is not, not generating scheduling excitation then.If so, lease point where traveling terminal is denoted as target lease point.Server obtains The running time corresponding current monitoring period, obtain target lease point needs in routine of next monitoring period to shared vehicle The amount of asking.Server obtains the current amount of parking that target lease point shares vehicle at the end of traveling.Server according to traveling duration, Target scheduling Node shared the current of vehicle at the end of conventional requirement amount and traveling of next monitoring period to shared vehicle stops The information of multiple dimensions such as high-volume, identifies this excitation condition that can satisfy of riding.
In another embodiment, server generates navigation routine according to traveling starting point and traveling terminal, by travel route It is fitted with navigation routine, calculates the degree of fitting of travel route and navigation routine.Server is according to traveling duration, travel route and leads Degree of fitting, the target scheduling Node of air route line are total at the end of conventional requirement amount and traveling of next monitoring period to shared vehicle The information for enjoying multiple dimensions such as the current amount of parking of vehicle identifies this excitation condition that can satisfy of riding.
In yet another embodiment, if shared vehicle is shared bicycle.Server is obtained also according to the map of monitoring area The corresponding terrain information of travel route calculates the distance and the gradient of the uphill way that travel route includes according to terrain information, with And the distance in descending section.The distance and uphill way in the descending section that server includes according to traveling duration, travel route Distance and the gradient, target scheduling Node shared vehicle at the end of conventional requirement amount and traveling of next monitoring period to shared vehicle Multiple dimensions such as the current amount of parking information, identify this excitation condition that can satisfy of riding.
Server obtains the corresponding driver resource of excitation condition, and the driver resource that will acquire is practical as this trip Available driver resource.The driver resource being calculated is transferred to user's mark that shared vehicle corresponds to vehicle user by server Know.It is readily appreciated that, if driver resource is fund resources, server can conventionally according to traveling duration calculation, this goes out The driver resource being calculated is converted to this available excitation expense of going on a journey, is taken according to original by the original expense that row generates With with excitation expense, calculate this trip generate actual cost, trip clearing are carried out based on actual cost.
In the present embodiment, when vehicle user is finished with vehicle, running data and pre-generated lease plan based on record Slightly, the practical available driver resource of this trip is calculated in time, is improved driver resource and is shifted timeliness, and then improves vehicle user Carry out vehicle leasing enthusiasm.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；This method further include: receive the excitation predictions request that terminal is sent；Motivating predictions request includes projected trip starting point, plan Travel terminal and projected trip time；Judge whether projected trip terminal belongs to a lease point, is denoted as target lease point；If It is, according to projected trip starting point and projected trip terminal, to generate navigation routine；According to navigation routine, this plan trip is calculated Corresponding traveling duration；Target lease point is obtained in projected trip time corresponding next monitoring period to the normal of shared vehicle Advise demand；According to traveling duration and conventional requirement amount, the excitation condition that this plan trip can satisfy is identified；Obtain excitation The corresponding driver resource of condition, the driver resource that will acquire feed back to terminal as prediction result.
User when plan is using shared vehicle driving, can first pass through shared in terminal vehicle application program inquiring this The driver resource that trip is likely to be obtained.Specifically, user is unlocked based on the shared vehicle application program barcode scanning in terminal, and typing Projected trip information.Projected trip information includes projected trip starting point, projected trip terminal and projected trip time etc..Shared vehicle Application program generates excitation predictions request according to the projected trip information that barcode scanning unlocks operation and typing, will motivate predictions request It is sent to server.
Server calculates this issuable driver resource of plan trip in the manner described above.Specifically, server is sentenced Whether disconnected projected trip terminal is located at a lease point position.If it is not, then generating the prompt that scheduling is actuated to zero, this is mentioned Show and is back to terminal.If so, lease point where server is intended to traveling terminal is denoted as target lease point.Server obtains plan The running time corresponding current monitoring period, obtain target lease point needs in routine of next monitoring period to shared vehicle The amount of asking.Server obtains the current amount of parking for sharing vehicle at target lease point current time.Server is according to projected trip starting point With projected trip terminal, navigation routine is generated, the predicted travel duration that this plan trip needs is predicted according to navigation routine.
Server travels the conventional requirement of duration, target scheduling Node in next monitoring period to shared vehicle on the estimation Amount and current time share the information of multiple dimensions such as the current amount of parking of vehicle, identify this excitation item that can satisfy of riding Part.
In another embodiment, if shared vehicle is shared bicycle.Server is obtained also according to the map of monitoring area The corresponding terrain information of navigation routine calculates the distance and the gradient of the uphill way that navigation routine includes according to terrain information, with And the distance in descending section.The distance and upward trend in the descending section that server travels duration on the estimation, navigation routine includes The distance and the gradient of section, target scheduling Node are shared to the conventional requirement amount of shared vehicle and current time in next monitoring period The information of multiple dimensions such as the current amount of parking of vehicle identifies the excitation condition that this plan trip may meet.Server obtains The corresponding driver resource of excitation condition is taken, excitation results of measuring is generated based on the driver resource got, by excitation measuring and calculating knot Fruit is back to terminal.
In the present embodiment, user can first pass through when plan is using shared vehicle driving and share vehicle application in terminal This driver resource being likely to be obtained of going on a journey of program inquiring, facilitates user according to scheduling incentives plan of travel, is conducive to shared Vehicle leasing implementation of strategies, and then improve shared vehicle leasing efficiency.
It should be understood that although each step in the flow chart of Fig. 2 is successively shown according to the instruction of arrow, this A little steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these steps It executes there is no the limitation of stringent sequence, these steps can execute in other order.Moreover, at least part in Fig. 2 Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out, But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in Figure 3A, a kind of vehicle leasing device is provided, comprising: lease point determining module 302, demand measuring and calculating module 304, lease policy generation module 306 and driver resource shift module 308, in which:
Lease point determining module 302 determines multiple rents in monitoring area according to the map for obtaining the map of monitoring area It rents a little.
Demand calculates module 304, monitors the shared of multiple monitoring periods in period in history for acquiring multiple lease points Vehicle enters and leaves data；Shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to altogether Enjoy the conventional requirement amount of vehicle.
Policy generation module 306 is leased, for it is multiple in the current monitor period to generate monitoring area according to conventional requirement amount Monitor the lease strategy of period.
Driver resource shift module 308 shares whether vehicle reaches lease point for identification, based on lease strategy to arrival The user for leasing the shared vehicle of point carries out resource transfers.
In one embodiment, lease point determining module 302 is also used to for monitoring area to be divided into multiple subregions；According to Map obtains the building distributed intelligence in each subregion；The vehicle that each subregion is obtained in the history monitoring period is averagely parked Quantity；The subregion that quantity is all satisfied preset condition is averagely parked into building distributed intelligence and vehicle, are determined as monitoring area A lease point.
In one embodiment, demand measuring and calculating module 304 is also used to pull pair that terminal is generated in multiple monitoring periods The operation behavior log of shared vehicle application program；Operation behavior log is parsed, multiple operation behavior fields are obtained；Behaviour Making behavior field includes operation mark, operating time and operating position；The monitoring period will be identified as the operating time, by operating position It is identified as lease point；To multiple lease points within each monitoring period the corresponding practical operation number of each operation mark respectively into Statistical result is entered and left data by row statistics.
In one embodiment, as shown in Figure 3B, which further includes scheduling excitation cue module 310, for receiving end The shared vehicle distribution map of storage is sent to terminal by the vehicle reservation request that end is sent, response vehicle reservation request；Shared vehicle Distribution map includes multiple vehicle icons；Capture the selected behaviour to vehicle icon that terminal occurs in shared vehicle distribution map Make；The selected lease point operated within the scope of corresponding vehicle icon pre-determined distance of identification, based on the lease point and lease plan recognized Excitation prompt is slightly generated, excitation prompt is sent to terminal.
In one embodiment, scheduling excitation cue module 310 is also used to receiving when being requested with vehicle of terminal transmission, Start recording running data；Running data includes the traveling starting point and travel route of this trip；According to travel route, examine in real time It surveys within the scope of shared vehicle pre-determined distance with the presence or absence of lease point；If so, according to lease strategy, traveling starting point and pre-determined distance model Interior lease point is enclosed, predicts this available driver resource of going on a journey；Excitation prompt is generated based on driver resource, excitation prompt is pushed away It send to terminal.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；Driver resource shift module 308 is also used to receiving when being requested with vehicle of terminal transmission, start recording running data；? Returning the car when requesting for terminal transmission is received, record running data is terminated；Running data include this trip traveling terminal and Running time；Judge to travel whether terminal belongs to a lease point, is denoted as target lease point；If so, determining that running time is corresponding The current monitoring period, obtain target lease point in next monitoring period to the conventional requirement amount of shared vehicle；According to normal Demand is advised, identifies this excitation condition that can satisfy of going on a journey；Obtain the corresponding driver resource of excitation condition；It is provided based on excitation Source corresponds to user identifier to terminal and carries out resource transfers；Otherwise, the lease point within the scope of traveling terminal pre-determined distance, base are identified In the lease point and lease strategy generating excitation prompt that recognize, excitation prompt is sent to terminal.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；As shown in Figure 3 C, which further includes scheduling excitation prediction module 312, for receiving the excitation predictions request of terminal transmission； Motivating predictions request includes projected trip starting point, projected trip terminal and projected trip time；Whether judge projected trip terminal Belong to a lease point, is denoted as target lease point；If so, generating navigation road according to projected trip starting point and projected trip terminal Line；According to navigation routine, this corresponding traveling duration of plan trip is calculated；Target lease point is obtained in the projected trip time pair Conventional requirement amount of the next monitoring period answered to shared vehicle；According to traveling duration and conventional requirement amount, this meter is identified Mark the excitation condition that row can satisfy；The corresponding driver resource of excitation condition is obtained, the driver resource that will acquire is as pre- It surveys result and feeds back to terminal.
Specific about vehicle leasing device limits the restriction that may refer to above for vehicle leasing method, herein not It repeats again.Modules in above-mentioned vehicle leasing device can be realized fully or partially through software, hardware and combinations thereof.On Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction Composition can be as shown in Figure 4.The computer equipment include by system bus connect processor, memory, network interface and Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating The database of machine equipment is for storing monitoring area map, lease strategy etc..The network interface of the computer equipment be used for it is outer The terminal in portion passes through network connection communication.To realize a kind of vehicle leasing method when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 4, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with Computer program, the processor perform the steps of the map for obtaining monitoring area, exist according to the map when executing computer program Monitoring area determines multiple lease points；Shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period is acquired to enter and leave Data；Shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to shared vehicle Conventional requirement amount；According to conventional requirement amount, monitoring area is generated in the lease strategy of multiple monitoring periods in current monitor period；Know Not Gong Xiang vehicle whether reach lease point, based on lease strategy to reach lease point shared vehicle user carry out resource turn It moves.
In one embodiment, it is also performed the steps of when processor executes computer program and is divided into monitoring area Multiple subregions；The building distributed intelligence in each subregion is obtained according to the map；It obtains each subregion and monitors week in history The vehicle of phase averagely parks quantity；The sub-district that quantity is all satisfied preset condition is averagely parked into building distributed intelligence and vehicle Domain is determined as a lease point of monitoring area.
In one embodiment, it is also performed the steps of when processor executes computer program and pulls terminal in multiple prisons Control the operation behavior log to shared vehicle application program of period generation；Operation behavior log is parsed, is obtained multiple Operation behavior field；Operation behavior field includes operation mark, operating time and operating position；It will be identified as operating time monitoring Operating position is identified as lease point by the period；To multiple lease points within each monitoring period the corresponding reality of each operation mark Border number of operations is counted respectively, enters and leaves data for statistical result as shared vehicle.
In one embodiment, it is also performed the steps of when processor executes computer program and receives the vehicle that terminal is sent The shared vehicle distribution map of storage is sent to terminal by reserve requests, response vehicle reservation request；Shared vehicle distribution map packet Include multiple vehicle icons；Capture the selected operation to vehicle icon that terminal occurs in shared vehicle distribution map；Identification is selected The lease point within the scope of corresponding vehicle icon pre-determined distance is operated, is mentioned based on the lease point and lease strategy generating excitation recognized Show, excitation prompt is sent to terminal.
In one embodiment, it is also performed the steps of when processor executes computer program and is receiving terminal transmission When being requested with vehicle, start recording running data；Running data includes the traveling starting point and travel route of this trip；According to row Route is sailed, real-time detection is shared within the scope of vehicle pre-determined distance with the presence or absence of lease point；If so, according to lease strategy, travelling Lease point within the scope of point and pre-determined distance predicts this available driver resource of going on a journey；Excitation is generated based on driver resource to mention Show, excitation prompt is pushed into terminal.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；Processor also performs the steps of when executing computer program is receiving when being requested with vehicle of terminal transmission, start recording Running data；Receive terminal transmission return the car request when, terminate record running data；Running data includes what this was gone on a journey Travel terminal and running time；Judge to travel whether terminal belongs to a lease point, is denoted as target lease point；If so, determining row It sails the time corresponding current monitoring period, obtains conventional requirement of the target lease point in next monitoring period to shared vehicle Amount；According to conventional requirement amount, this excitation condition that can satisfy of going on a journey is identified；Obtain the corresponding driver resource of excitation condition； User identifier is corresponded to terminal based on driver resource and carries out resource transfers；Otherwise, identification is within the scope of traveling terminal pre-determined distance Lease point excitation prompt is sent to by terminal based on the lease point that recognizes and lease strategy generating excitation prompt.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；Processor also performs the steps of when executing computer program receives the excitation predictions request that terminal is sent；Excitation prediction is asked It asks comprising projected trip starting point, projected trip terminal and projected trip time；Judge whether projected trip terminal belongs to a rent It rents a little, is denoted as target lease point；If so, generating navigation routine according to projected trip starting point and projected trip terminal；According to navigation Route calculates this corresponding traveling duration of plan trip；It is corresponding next in the projected trip time to obtain target lease point The period is monitored to the conventional requirement amount of shared vehicle；According to traveling duration and conventional requirement amount, identify that this plan trip can The excitation condition of satisfaction；The corresponding driver resource of excitation condition is obtained, the driver resource that will acquire is fed back as prediction result To terminal.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated Machine program performs the steps of the map for obtaining monitoring area when being executed by processor, more in monitoring area determination according to the map A lease point；It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves data；By shared vehicle Entering and leaving data inputs preset vehicle leasing model, determines multiple lease points respectively to the conventional requirement amount of shared vehicle；Root According to conventional requirement amount, monitoring area is generated in the lease strategy of multiple monitoring periods in current monitor period；Identifying shared vehicle is Point is leased in no arrival, carries out resource transfers based on user of the lease strategy to the shared vehicle for reaching lease point.
In one embodiment, it is also performed the steps of when computer program is executed by processor and divides monitoring area For multiple subregions；The building distributed intelligence in each subregion is obtained according to the map；Each subregion is obtained to monitor in history The vehicle in period averagely parks quantity；The sub-district that quantity is all satisfied preset condition is averagely parked into building distributed intelligence and vehicle Domain is determined as a lease point of monitoring area.
In one embodiment, it is also performed the steps of when computer program is executed by processor and pulls terminal multiple Monitor the operation behavior log to shared vehicle application program of period generation；Operation behavior log is parsed, is obtained more A operation behavior field；Operation behavior field includes operation mark, operating time and operating position；It will be identified as operating time supervising The period is controlled, operating position is identified as lease point；To multiple lease points, each operation mark is corresponding within each monitoring period Practical operation number is counted respectively, enters and leaves data for statistical result as shared vehicle.
In one embodiment, it is also performed the steps of when computer program is executed by processor and receives what terminal was sent The shared vehicle distribution map of storage is sent to terminal by vehicle reservation request, response vehicle reservation request；Shared vehicle distribution map Including multiple vehicle icons；Capture the selected operation to vehicle icon that terminal occurs in shared vehicle distribution map；Identification choosing The fixed lease point operated within the scope of corresponding vehicle icon pre-determined distance, based on the lease point and lease strategy generating excitation recognized Excitation prompt is sent to terminal by prompt.
In one embodiment, it is also performed the steps of when computer program is executed by processor and is receiving terminal hair Send when being requested with vehicle, start recording running data；Running data includes the traveling starting point and travel route of this trip；According to Travel route, real-time detection are shared within the scope of vehicle pre-determined distance with the presence or absence of lease point；If so, according to lease strategy, traveling Lease point within the scope of starting point and pre-determined distance predicts this available driver resource of going on a journey；It is generated and is motivated based on driver resource Excitation prompt is pushed to terminal by prompt.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；It is also performed the steps of when computer program is executed by processor and is receiving when being requested with vehicle of terminal transmission, start to remember Record running data；Receive terminal transmission return the car request when, terminate record running data；Running data includes this trip Traveling terminal and running time；Judge to travel whether terminal belongs to a lease point, is denoted as target lease point；If so, determining The running time corresponding current monitoring period, obtain target lease point needs in routine of next monitoring period to shared vehicle The amount of asking；According to conventional requirement amount, this excitation condition that can satisfy of going on a journey is identified；Obtain the corresponding excitation money of excitation condition Source；User identifier is corresponded to terminal based on driver resource and carries out resource transfers；Otherwise, identification is in traveling terminal pre-determined distance range Excitation prompt is sent to terminal based on the lease point and lease strategy generating excitation prompt recognized by interior lease point.
In one embodiment, lease strategy has recorded a variety of excitation conditions and the corresponding excitation money of every kind of excitation condition Source；It is also performed the steps of when computer program is executed by processor and receives the excitation predictions request that terminal is sent；Excitation prediction Request includes projected trip starting point, projected trip terminal and projected trip time；Judge whether projected trip terminal belongs to one Point is leased, target lease point is denoted as；If so, generating navigation routine according to projected trip starting point and projected trip terminal；According to leading Air route line calculates this corresponding traveling duration of plan trip；It is corresponding next in the projected trip time to obtain target lease point Conventional requirement amount of a monitoring period to shared vehicle；According to traveling duration and conventional requirement amount, this plan trip energy is identified The excitation condition enough met；The corresponding driver resource of excitation condition is obtained, the driver resource that will acquire is anti-as prediction result It is fed to terminal.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Instruct relevant hardware to complete by computer program, computer program to can be stored in a non-volatile computer readable It takes in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, this Shen Please provided by any reference used in each embodiment to memory, storage, database or other media, may each comprise Non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance Shield all should be considered as described in this specification.
Above embodiments only express the several embodiments of the application, and the description thereof is more specific and detailed, but can not Therefore it is construed as limiting the scope of the patent.It should be pointed out that for those of ordinary skill in the art, Under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the protection scope of the application. Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (10)

1. a kind of vehicle leasing method, which comprises
The map for obtaining monitoring area, determines multiple lease points in the monitoring area according to the map；
It acquires shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period and enters and leaves data；
The shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to shared The conventional requirement amount of vehicle；
According to the conventional requirement amount, the monitoring area is generated in the lease strategy of multiple monitoring periods in current monitor period；
Identify whether shared vehicle reaches the lease point, based on the lease strategy to the shared vehicle for reaching the lease point User carry out resource transfers.
2. the method according to claim 1, wherein described more in monitoring area determination according to the map A lease point, comprising:
The monitoring area is divided into multiple subregions；
The building distributed intelligence in each subregion is obtained according to the map；
The vehicle that each subregion is obtained in the history monitoring period averagely parks quantity；
The subregion that quantity is all satisfied preset condition is averagely parked into the building distributed intelligence and the vehicle, are determined as institute State a lease point of monitoring area.
3. the method according to claim 1, wherein the multiple lease points of acquisition are multiple in the history monitoring period The shared vehicle for monitoring the period enters and leaves data, comprising:
Pull the operation behavior log to shared vehicle application program that terminal is generated in multiple monitoring periods；
The operation behavior log is parsed, multiple operation behavior fields are obtained；The operation behavior field includes operation Mark, operating time and operating position；
It will be identified as the monitoring period operating time, operating position is identified as the lease point；
To multiple lease points, the corresponding practical operation number of each operation mark counts respectively within each monitoring period, will Statistical result enters and leaves data as the shared vehicle.
4. the method according to claim 1, wherein described be total to based on the lease strategy to lease point is reached The user for enjoying vehicle carries out before resource transfers, further includes:
The vehicle reservation request that terminal is sent is received, the vehicle reservation request is responded and sends the shared vehicle distribution map of storage To the terminal；The shared vehicle distribution map includes multiple vehicle icons；
Capture the selected operation to the vehicle icon that terminal occurs in the shared vehicle distribution map；
The selected lease point operated within the scope of corresponding vehicle icon pre-determined distance is identified, based on the lease point recognized and institute Lease strategy generating excitation prompt is stated, excitation prompt is sent to the terminal.
5. the method according to claim 1, wherein described tactful to the arrival lease point based on the lease Shared vehicle user carry out resource transfers before, further includes:
Receiving when being requested with vehicle of terminal transmission, start recording running data；The running data includes what this was gone on a journey Travel starting point and travel route；
According to the travel route, real-time detection is shared within the scope of vehicle pre-determined distance with the presence or absence of lease point；
If so, predicting that this trip is available according to the lease point within the scope of the lease strategy, traveling starting point and pre-determined distance Driver resource；
Excitation prompt is generated based on the driver resource, excitation prompt is pushed into the terminal.
6. the method according to claim 1, wherein the lease strategy has recorded a variety of excitation conditions and every kind The corresponding driver resource of excitation condition；It is described based on it is described lease strategy to reach it is described lease point shared vehicle user into Row resource transfers, comprising:
Receiving when being requested with vehicle of terminal transmission, start recording running data；
Receive terminal transmission return the car request when, terminate record running data；The running data includes what this was gone on a journey Travel terminal and running time；
Judge whether the traveling terminal belongs to the lease point, is denoted as target lease point；
If so, determining the running time corresponding current monitoring period, the target lease point is obtained in next monitoring Conventional requirement amount of the period to the shared vehicle；According to the conventional requirement amount, this excitation that can satisfy of going on a journey is identified Condition；Obtain the corresponding driver resource of the excitation condition；Based on the driver resource to the terminal correspond to user identifier into Row resource transfers；
Otherwise, the lease point within the scope of the traveling terminal pre-determined distance is identified, based on the lease point recognized and the rent Excitation prompt is sent to the terminal by strategy generating of renting excitation prompt.
7. the method according to claim 1, wherein the lease strategy has recorded a variety of excitation conditions and every kind The corresponding driver resource of excitation condition；The method also includes:
Receive the excitation predictions request that terminal is sent；The excitation predictions request includes projected trip starting point, projected trip terminal With the projected trip time；
Judge whether the projected trip terminal belongs to the lease point, is denoted as target lease point；
If so, generating navigation routine according to the projected trip starting point and the projected trip terminal；
According to the navigation routine, this corresponding traveling duration of plan trip is calculated；
Obtain routine of the target lease point in the projected trip time corresponding next monitoring period to shared vehicle Demand；
According to the traveling duration and the conventional requirement amount, the excitation condition that this plan trip can satisfy is identified；It obtains The corresponding driver resource of the excitation condition, the driver resource that will acquire feed back to the terminal as prediction result.
8. a kind of vehicle leasing device, described device include:
A lease point determining module is determined according to the map in the monitoring area multiple for obtaining the map of monitoring area Lease point；
Demand calculates module, enters and leaves for acquiring shared vehicle of multiple lease points in multiple monitoring periods in history monitoring period Data；The shared vehicle is entered and left into data and inputs preset vehicle leasing model, determines multiple lease points respectively to altogether Enjoy the conventional requirement amount of vehicle；
Policy generation module is leased, for it is more in the current monitor period to generate the monitoring area according to the conventional requirement amount The lease strategy of a monitoring period；
Driver resource shift module shares whether vehicle reaches the lease point for identification, tactful to arriving based on the lease User up to the shared vehicle of lease point carries out resource transfers.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109360413A (en) * 2018-12-11 2019-02-19 北京首汽智行科技有限公司 A kind of vehicle dispatching method and system
CN110491124A (en) * 2019-08-19 2019-11-22 上海新共赢信息科技有限公司 A kind of vehicle flow prediction technique, device, equipment and storage medium
CN110796496A (en) * 2019-10-31 2020-02-14 上海钧正网络科技有限公司 Setting method and device of excitation area, computer equipment and storage medium
CN110827545A (en) * 2019-11-14 2020-02-21 北京首汽智行科技有限公司 Optimal vehicle number prediction method
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CN112801727A (en) * 2020-11-30 2021-05-14 北京交通大学 Joint optimization method considering number of parking spaces at rental spots and vehicle scheduling
CN113222348A (en) * 2021-04-16 2021-08-06 深圳竹芒科技有限公司 Shared article scheduling method and device, computer equipment and storage medium
CN117423232A (en) * 2023-10-19 2024-01-19 北京保险服务中心股份有限公司 Rental property vehicle identification method based on Internet of vehicles big data

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014030233A1 (en) * 2012-08-22 2014-02-27 Kamisawa Teruhiko Rental car management system, rental car management method, and rental car management program
CN105719019A (en) * 2016-01-21 2016-06-29 华南理工大学 Public bicycle peak time demand prediction method considering user reservation data
CN106709583A (en) * 2017-01-13 2017-05-24 上海量明科技发展有限公司 Shared-vehicle parking management method, client and system
CN107093104A (en) * 2017-04-13 2017-08-25 成都步共享科技有限公司 A kind of shared bicycle dispatching method participated in based on user
CN107871271A (en) * 2017-11-23 2018-04-03 朱铁凝 Shared transportation tool management method and device

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100280700A1 (en) * 2007-10-31 2010-11-04 Intrago Corporation User-distributed shared vehicle system
CN107239883B (en) * 2017-05-12 2020-11-27 同济大学 Vehicle scheduling method of automobile sharing system
CN107239862B (en) * 2017-06-09 2021-06-04 长沙贤正益祥机械科技有限公司 Shared rental bicycle management system and method
CN107657477A (en) * 2017-08-30 2018-02-02 北京摩拜科技有限公司 Dispatching method, equipment and the server of shared vehicle
CN107545725A (en) * 2017-08-30 2018-01-05 顾泰来 A kind of shared vehicle dispatching method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014030233A1 (en) * 2012-08-22 2014-02-27 Kamisawa Teruhiko Rental car management system, rental car management method, and rental car management program
CN105719019A (en) * 2016-01-21 2016-06-29 华南理工大学 Public bicycle peak time demand prediction method considering user reservation data
CN106709583A (en) * 2017-01-13 2017-05-24 上海量明科技发展有限公司 Shared-vehicle parking management method, client and system
CN107093104A (en) * 2017-04-13 2017-08-25 成都步共享科技有限公司 A kind of shared bicycle dispatching method participated in based on user
CN107871271A (en) * 2017-11-23 2018-04-03 朱铁凝 Shared transportation tool management method and device

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109360413A (en) * 2018-12-11 2019-02-19 北京首汽智行科技有限公司 A kind of vehicle dispatching method and system
CN110491124A (en) * 2019-08-19 2019-11-22 上海新共赢信息科技有限公司 A kind of vehicle flow prediction technique, device, equipment and storage medium
CN110491124B (en) * 2019-08-19 2020-09-08 上海新共赢信息科技有限公司 Vehicle flow prediction method, device, equipment and storage medium
CN111177207A (en) * 2019-09-10 2020-05-19 上海钧正网络科技有限公司 Vehicle distribution monitoring method and device, operation and maintenance terminal and readable storage medium
CN110852837A (en) * 2019-10-23 2020-02-28 上海能塔智能科技有限公司 Operation indication method and device of vehicle stop point, storage medium and computing equipment
CN110796496A (en) * 2019-10-31 2020-02-14 上海钧正网络科技有限公司 Setting method and device of excitation area, computer equipment and storage medium
CN110827545A (en) * 2019-11-14 2020-02-21 北京首汽智行科技有限公司 Optimal vehicle number prediction method
CN111815937B (en) * 2019-11-22 2022-01-04 北京嘀嘀无限科技发展有限公司 Control method and device for dispatching of super-parking vehicles, storage medium and electronic equipment
CN111815937A (en) * 2019-11-22 2020-10-23 北京嘀嘀无限科技发展有限公司 Control method and device for dispatching of super-parking vehicles, storage medium and electronic equipment
CN111371882A (en) * 2020-02-28 2020-07-03 北京字节跳动网络技术有限公司 Data sharing and releasing control method and device, electronic equipment and computer readable medium
CN111401697A (en) * 2020-03-03 2020-07-10 上海钧正网络科技有限公司 Method and device for judging legality of vehicle scheduling behavior and computer equipment
CN111832876A (en) * 2020-03-30 2020-10-27 北京骑胜科技有限公司 Vehicle scheduling method, readable storage medium and electronic device
CN111626588A (en) * 2020-05-21 2020-09-04 北京骑胜科技有限公司 Vehicle delivery area determining method, device, server and storage medium
CN111861097A (en) * 2020-06-01 2020-10-30 北京骑胜科技有限公司 Information processing method and device
CN112801727A (en) * 2020-11-30 2021-05-14 北京交通大学 Joint optimization method considering number of parking spaces at rental spots and vehicle scheduling
CN113222348A (en) * 2021-04-16 2021-08-06 深圳竹芒科技有限公司 Shared article scheduling method and device, computer equipment and storage medium
CN117423232A (en) * 2023-10-19 2024-01-19 北京保险服务中心股份有限公司 Rental property vehicle identification method based on Internet of vehicles big data
CN117423232B (en) * 2023-10-19 2024-04-02 北京保险服务中心股份有限公司 Rental property vehicle identification method based on Internet of vehicles big data

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