CN111126752A - Vehicle station management method and device, computer equipment and storage medium - Google Patents

Vehicle station management method and device, computer equipment and storage medium Download PDF

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CN111126752A
CN111126752A CN201911087242.8A CN201911087242A CN111126752A CN 111126752 A CN111126752 A CN 111126752A CN 201911087242 A CN201911087242 A CN 201911087242A CN 111126752 A CN111126752 A CN 111126752A
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station
information
target vehicle
vehicle
vehicle station
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杨磊
伍克远
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Shanghai Junzheng Network Technology Co Ltd
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Shanghai Junzheng Network Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/40Business processes related to the transportation industry
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract

The application relates to a vehicle station management method, a vehicle station management device, a computer device and a storage medium. The method comprises the following steps: acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information; generating station point quantitative data of a target vehicle station point according to the station point information; and managing the target vehicle station according to the station quantitative data. By adopting the method, the rationality of the setting of the existing vehicle station or the vehicle station to be newly built can be improved, the management efficiency of the vehicle station is further improved, and the operation and maintenance cost of an operator is reduced.

Description

Vehicle station management method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for managing a vehicle station, a computer device, and a storage medium.
Background
The shared vehicle is a vehicle sharing service provided by an enterprise in a campus, a subway station, a bus station, a residential area, a commercial area, a public service area and the like, is a time-sharing rental mode, and is a novel green and environment-friendly shared economy. Compared with traditional trip modes such as public transport trip and subway trip, the shared vehicle does not need to be handled with cards or fixed-point taking, the effect that the destination can be reached by getting off the vehicle is achieved, and convenience is brought to the trip of a user.
In order to solve the problem of city management caused by random parking and the problem that operation and maintenance personnel need to exchange power uniformly for special shared vehicles, vehicle stations need to be arranged at all places of a city so as to be used for parking various shared vehicles. In order to ensure convenience of users in using shared vehicles, operators generally need to establish booster vehicle stations on a large scale so as to improve the distribution density of the vehicle stations.
However, this approach can greatly increase the operation and maintenance costs for the operator.
Disclosure of Invention
In view of the above, it is necessary to provide a vehicle station management method, apparatus, computer device and storage medium for addressing the above technical problems.
In a first aspect, an embodiment of the present invention provides a vehicle station management method, where the method includes:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station quantitative data of the target vehicle station according to the station information;
and managing the target vehicle station according to the station quantitative data.
In an embodiment of the application, the obtaining of the station information of the target vehicle station includes:
determining a target area to which the target vehicle station belongs;
acquiring historical vehicle driving data in the target area;
and acquiring the passing vehicle information and the flow information of the target vehicle station according to the historical vehicle driving data.
In one embodiment of the present application, the obtaining of the traffic information of the target vehicle station according to the historical vehicle driving data includes:
acquiring station position information corresponding to a plurality of vehicle stations in the target area;
generating a station classification tree according to station position information corresponding to each vehicle station and a nearest node algorithm;
acquiring unlocking position information and locking position information corresponding to each running information in the historical vehicle running data;
inputting unlocking position information and locking position information corresponding to each piece of driving information into the station classification tree to obtain vehicle stations to which each piece of unlocking position information and each piece of locking position information belong;
and counting the quantity of the unlocking position information and the locking position information corresponding to the target vehicle station, and generating the flow information of the target vehicle station.
In one embodiment of the present application, the acquiring the passing vehicle information of the target vehicle station according to the historical vehicle driving data includes:
obtaining a plurality of locking position information corresponding to the target vehicle station;
and acquiring the passing area vehicle information of the target vehicle station according to the locking position information corresponding to the target vehicle station and the geographic position of the target vehicle station.
In one embodiment of the present application, the nearby station information includes information about the number of nearby stations and the distance to the nearby stations, and the acquiring the station information of the target vehicle station includes:
determining a target area to which the target vehicle station belongs, and acquiring station position information of a plurality of vehicle stations in the target area;
determining at least one nearby station in each vehicle station according to the geographic position of the target vehicle station and a preset statistical radius, and performing statistics to obtain the number of the nearby stations;
and generating the distance information of the nearby stations according to the distance between each nearby station and the target vehicle station.
In an embodiment of the application, the generating station quantitative data of the target vehicle station according to the station information includes:
taking the creating time length, the site area, the geographic position, the super-region vehicle information, the flow information and the nearby site information as constraint factors of the target vehicle site;
acquiring a weight value corresponding to each constraint factor;
and obtaining the site quantized data according to each constraint factor and the weight value corresponding to each constraint factor.
In an embodiment of the present application, the managing the target vehicle station according to the station quantitative data includes:
judging whether the site quantized data is larger than a preset quantized threshold value;
and if the station quantized data are smaller than a preset quantized threshold value, managing the target vehicle station.
In one embodiment of the present application, the managing the target vehicle station includes:
obtaining a quantization value corresponding to each constraint factor according to each constraint factor and a weight value corresponding to each constraint factor;
determining at least one constraint factor to be modified according to each quantized value and a quantization threshold corresponding to each quantized value;
and managing the target vehicle station according to the at least one constraint factor to be modified.
In a second aspect, an embodiment of the present invention provides a vehicle station management apparatus, including:
the station information acquisition module is used for acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
the quantization module is used for generating station point quantization data of the target vehicle station point according to the station point information;
and the management module is used for managing the target vehicle station according to the station quantitative data.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the following steps when executing the computer program:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station quantitative data of the target vehicle station according to the station information;
and managing the target vehicle station according to the station quantitative data.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station quantitative data of the target vehicle station according to the station information;
and managing the target vehicle station according to the station quantitative data.
According to the vehicle station management method, the vehicle station management device, the computer equipment and the storage medium, the station information of the target vehicle station is obtained; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information; generating station point quantitative data of a target vehicle station point according to the station point information; and managing the target vehicle station according to the station quantitative data. According to the vehicle station management method provided by the embodiment of the application, station information of the target vehicle station is obtained, station quantitative data representing the reasonable degree of the target vehicle station setting is generated according to the station information, and the target vehicle station is managed according to the station quantitative data, so that the setting rationality of the existing vehicle station or the vehicle station to be newly built can be improved, the management efficiency of the vehicle station is improved, and the operation and maintenance cost of an operator is reduced.
Drawings
Fig. 1 is an implementation environment diagram of a vehicle station management method according to an embodiment of the present application;
FIG. 2 is a flow chart of a vehicle station management method according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 4 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 5 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 6 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 7 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 8 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
FIG. 9 is a flow chart of another vehicle station management method provided by an embodiment of the present application;
fig. 10 is a block diagram of a vehicle station management device according to an embodiment of the present application;
fig. 11 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The vehicle station management method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers. The server 104 may store data such as historical vehicle travel data and vehicle site information, and a vehicle site manager may access the data such as historical vehicle travel data and vehicle site information stored in the server 104 through the terminal 102 and manage the target vehicle site according to the data.
Referring to fig. 2, it shows a vehicle station management method provided in this embodiment, which is described by taking the application of the method to the terminal in fig. 1 as an example, and includes the following steps:
step 202, acquiring station information of a target vehicle station; the station information includes at least one of creation time length, station area, geographical position, super-zone vehicle information, traffic information, and nearby station information.
In an embodiment of the application, the terminal receives a selection instruction carrying the identification of the target vehicle station, and after receiving the selection instruction, the terminal triggers a quantitative management operation on the target vehicle station. Specifically, the terminal sends a station information acquisition request of a target vehicle station to the server, so that the server queries station information of the target vehicle station and sends a response message carrying the station information. Optionally, when the station information of the target vehicle station is stored in the terminal, the terminal may directly obtain the stored station information of the target vehicle station.
In one embodiment of the present application, the site information may include at least one of creation time, site area, geographical location, super zone vehicle information, traffic information, and nearby site information. Wherein the creation time duration represents a time interval from a setup time to a current system time for the target vehicle station; the site area represents a footprint of the target vehicle site plan; the geographic position can comprise position coordinates of the target vehicle station, a Geohash code and Geohash precision, and POI data of a surrounding area; the vehicle information of the passing area indicates the number of vehicles which stop in the service range of the target vehicle station but do not stop in the planned occupied area of the target vehicle station, and the number of the vehicles of the passing area can be the sum of the number of the vehicles of the passing area in a specific time period, and can also be a daily average value, a monthly average value and the like; the traffic information indicates the number of vehicles locked within the service range of the target vehicle station, and may further include the number of vehicles unlocked within the service range of the target vehicle station, and the traffic information may be the sum of the number of vehicles unlocked and locked within a specific time period, or may be a daily average, a monthly average, or the like; the nearby station information may include the number of vehicle stations nearby the target vehicle station, and the distance to the nearby vehicle stations.
And step 204, generating station quantitative data of the station of the target vehicle according to the station information.
In an embodiment of the application, the site quantitative data is used for representing the reasonable degree of the target vehicle site setting, the site information received by the terminal includes at least one of creation time, site area, geographic position, vehicle information of a super-zone, flow information and nearby site information, wherein each type of site information is used for reflecting the reasonable degree of the target vehicle site setting, by combining various types of site information, comprehensive quantitative data of the target vehicle can be obtained, and the comprehensive quantitative data can accurately reflect the reasonable degree of the target vehicle site setting.
And step 206, managing the target vehicle station according to the station quantitative data.
In an embodiment of the present application, the terminal may set a corresponding management interval for the site quantization data, and set a corresponding management operation for each management interval. And acquiring management operation corresponding to the station quantitative data of the target vehicle station according to the station quantitative data of the target vehicle station, and executing the corresponding management operation to manage the target vehicle station. For example, 3 management intervals may be set, including a deletion operation interval, a modification operation interval, and a qualified interval, and when it is determined that the station quantized data is in the deletion management interval, a deletion instruction is sent to the corresponding vehicle station deletion system, so as to delete the target vehicle station; when the station quantitative data is judged to be in the modification management interval, sending a modification instruction to a corresponding vehicle station modification system, wherein the modification instruction is used for modifying station information of the target vehicle station, and the station information comprises adjustment of the area, position and the like of the station; and when the station quantitative data is judged to be in the qualified interval, the station setting of the target vehicle is reasonable, and no operation is performed.
In an embodiment of the present application, the target vehicle station may also be a vehicle station to be newly created, and after the relevant station information of the vehicle station to be newly created is input and the corresponding station quantized data is obtained, it is determined whether to further establish the vehicle station according to the station quantized data, or the vehicle station is established after the vehicle station information. For example, 3 management intervals can be set, including a deletion operation interval, a modification operation interval and a qualified interval, and when it is determined that the station quantized data is in the deletion management interval, a deletion instruction is sent to a corresponding vehicle station deletion system for deleting the vehicle station to be newly created; when the station quantized data are judged to be in the modification management interval, sending a modification instruction to a corresponding vehicle station modification system, and establishing a modified vehicle station after modifying the vehicle station to be newly built; and when the station quantitative data is judged to be in the qualified interval, the station setting of the vehicle to be newly built is reasonable, and the vehicle station to be newly built is immediately newly built.
In the vehicle station management method provided by the embodiment of the application, station information of a target vehicle station is acquired; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information; generating station point quantitative data of a target vehicle station point according to the station point information; and managing the target vehicle station according to the station quantitative data. According to the vehicle station management method provided by the embodiment of the application, station information of the target vehicle station is obtained, station quantitative data representing the reasonable degree of the target vehicle station setting is generated according to the station information, and the target vehicle station is managed according to the station quantitative data, so that the setting rationality of the existing vehicle station or the vehicle station to be newly built can be improved, the management efficiency of the vehicle station is improved, and the operation and maintenance cost of an operator is reduced.
Referring to fig. 3, a flowchart of another vehicle station management method provided in the present embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. On the basis of the embodiment shown in fig. 2, the step 202 may specifically include the following steps:
step 302, determining a target area to which the target vehicle station belongs.
In one embodiment of the present application, the target area may be set as a geographical area divided by administrative areas, for example, the province, city, and district where the target vehicle station is located may be used as the target area. The size of the target area may be determined by the attributes of the target vehicle station, for example, if the target vehicle station is used to park a conventional bicycle, the target area may be set as the zone-level area where the target vehicle station is located; if the target vehicle station is used for parking electric bicycles and mopeds, the target area can be set as the city area where the target vehicle station is located; if the target vehicle station is used for parking an automobile or an electric automobile, the target area may be set as the provincial area where the target vehicle station is located.
In step 304, historical vehicle travel data within the target area is obtained.
In one embodiment of the present application, after the target area is obtained, information of each vehicle operated in the target area is further obtained, and historical vehicle traveling data corresponding to the information of each vehicle is obtained according to the information of each vehicle, and the historical vehicle traveling data includes traveling records of the vehicle when the vehicle is used, such as unlocking time, unlocking position, traveling time, traveling track, locking time, locking position and the like.
And step 306, acquiring the passing vehicle information and the flow information of the target vehicle station according to the historical vehicle driving data.
In an embodiment of the application, whether the traffic information is in the service range of the target vehicle station can be judged through the unlocking position and the locking position of each driving record in the historical vehicle driving data, and the number of the driving records of which the unlocking positions or the locking positions are in the service range of the target vehicle station is counted and is used as the traffic information of the target vehicle station.
In one embodiment of the present application, the number of driving records with the locking position within the service range of the target vehicle station but not within the planned occupation range of the target vehicle station is counted as the passing-zone vehicle information of the target vehicle station.
In the vehicle station management method provided by the embodiment of the application, a target area to which a target vehicle station belongs is determined; acquiring historical vehicle driving data in a target area; and acquiring the passing vehicle information and the flow information of the target vehicle station according to the historical vehicle driving data. According to the vehicle station management method provided by the embodiment of the application, the passing vehicle information and the flow information of the target vehicle station are determined by acquiring the historical vehicle riding data. The accuracy of the station information of the target vehicle station can be guaranteed, a foundation is provided for judging the reasonable setting degree of the target vehicle station, and then more suitable management measures can be adopted for the target vehicle station, the practicability of the target vehicle station is improved, and the operation cost of an operator is also reduced.
Referring to fig. 4, a flowchart of another vehicle station management method provided in this embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. On the basis of the embodiment shown in fig. 3, the step 306 may specifically include the following steps:
step 402, obtaining station position information corresponding to a plurality of vehicle stations in a target area.
In an embodiment of the application, after a target area to which the target vehicle station belongs is obtained, a plurality of vehicle stations included in the target area are searched in a database of a server, where the searched vehicle stations necessarily include the target vehicle station. Specifically, the station position information corresponding to each of the plurality of vehicle stations is obtained, and the station position information may be a station coordinate of the vehicle station or a station position range of the vehicle station.
And step 404, generating a station classification tree according to the station position information corresponding to each vehicle station and the nearest node algorithm.
In one embodiment of the present application, the nearest node algorithm may be one of a KD-tree (K-dimension tree) or a ball tree (Balltree). Specifically, the site location information corresponding to each vehicle site may be combined with the initial nearest node algorithm to obtain the site classification tree. The station classification tree is used for determining which vehicle station the location information belongs to based on the input location information.
And step 406, acquiring unlocking position information and locking position information corresponding to each driving information in the historical vehicle driving data.
In one embodiment of the present application, each historical vehicle driving data includes unlocking position information and locking position information, where the unlocking position information and the locking position information may be longitude and latitude information of corresponding positions.
And step 408, inputting the unlocking position information and the locking position information corresponding to each driving information into the station classification tree to obtain the vehicle stations to which the unlocking position information and the locking position information belong.
And step 410, counting the number of unlocking position information and locking position information corresponding to the target vehicle station, and generating flow information of the target vehicle station.
In an embodiment of the present application, the unlocking position information and the locking position information in each driving information are input into the station classification tree, so that a vehicle station to which each unlocking position information and each locking position information belong can be obtained, wherein the unlocking position information and the locking position information in the same driving information can belong to different vehicle stations. And counting the number of the unlocking position information and the locking position information belonging to the target vehicle station, and taking the sum of the unlocking position information and the locking position information as the flow information of the target vehicle station.
In the vehicle station management method provided by the embodiment of the application, station position information corresponding to a plurality of vehicle stations in a target area is acquired; generating a station classification tree according to station position information corresponding to each vehicle station and a nearest node algorithm; acquiring unlocking position information and locking position information corresponding to each running information in historical vehicle running data; inputting unlocking position information and locking position information corresponding to each driving information into a station classification tree to obtain vehicle stations to which each unlocking position information and each locking position information belong; and counting the quantity of unlocking position information and locking position information corresponding to the target vehicle station, and generating flow information of the target vehicle station. According to the vehicle station management method provided by the embodiment of the application, the station classification tree is generated, the unlocking position information and the locking position information in each driving data can be rapidly classified into the vehicle stations, the classification time is shortened, the calculation amount in classification is reduced, the classification efficiency is improved, and the calculation efficiency of station quantitative data is further improved.
Referring to fig. 5, a flowchart of another vehicle station management method provided in this embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. On the basis of the embodiment shown in fig. 4, the step 306 may specifically include the following steps:
step 502, obtaining a plurality of locking position information corresponding to the target vehicle station.
In one embodiment of the subject application, after step 408, a plurality of locking location information attributed to the target vehicle site is obtained, each locking location information including latitude and longitude information for each locking location. The locking position information corresponding to the target vehicle station is in the service range of the target vehicle station, wherein the locking position information is in the planned occupation range of the target vehicle station, and the locking position information is in the service range of the target vehicle station but out of the planned occupation range of the target vehicle station.
And step 504, acquiring the passing-area vehicle information of the target vehicle station according to the locking position information corresponding to the target vehicle station and the geographic position of the target vehicle station.
In an embodiment of the application, the geographic location of the target vehicle station is an area coverage range including the planned area coverage of the target vehicle station, and the number of the locking position information outside the planned area coverage of the target vehicle station is counted according to the longitude and latitude information of each locking position information and is used as the passing vehicle information of the target vehicle station.
In the vehicle station management method provided by the embodiment of the application, a plurality of locking position information corresponding to a target vehicle station is obtained; and acquiring the passing-area vehicle information of the target vehicle station according to the locking position information corresponding to the target vehicle station and the geographical position of the target vehicle station. According to the vehicle station management method provided by the embodiment of the application, the accuracy of the vehicle information in the passing area of the target vehicle station can be guaranteed, and meanwhile, the data acquisition efficiency is improved.
Referring to fig. 6, a flowchart of another vehicle station management method provided in this embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. Based on the embodiment shown in fig. 2, the nearby station information includes the number of nearby stations and the distance information between the nearby stations, and the station information of the target vehicle station is obtained, where the step 202 may specifically include the following steps:
step 602, determining a target area to which a target vehicle station belongs, and acquiring station position information of a plurality of vehicle stations in the target area.
In one embodiment of the present application, the target area may be set as a geographical area divided by administrative areas, for example, the province, city, and district where the target vehicle station is located may be used as the target area. The size of the target area may be determined by the attributes of the target vehicle station, for example, if the target vehicle station is used to park a conventional bicycle, the target area may be set as the zone-level area where the target vehicle station is located; if the target vehicle station is used for parking electric bicycles and mopeds, the target area can be set as the city area where the target vehicle station is located; if the target vehicle station is used for parking an automobile or an electric automobile, the target area may be set as the provincial area where the target vehicle station is located.
In an embodiment of the application, after a target area to which the target vehicle station belongs is obtained, a plurality of vehicle stations included in the target area are searched in a database of a server, where the searched vehicle stations necessarily include the target vehicle station. Specifically, the station position information corresponding to each of the plurality of vehicle stations is obtained, and the station position information may be a station coordinate of the vehicle station or a station position range of the vehicle station.
And step 604, determining at least one nearby station in each vehicle station according to the geographic position of the target vehicle station and a preset statistical radius, and performing statistics to obtain the number of the nearby stations.
In an embodiment of the application, when the location information of the target vehicle station is a longitude and latitude coordinate point, a circle center area with a preset statistical radius as a radius is obtained by taking the coordinate point as a circle center, and the circle area is taken as an adjacent area of the target vehicle station; in another embodiment of the present application, when the position information of the target vehicle station is a position range, the preset statistical radius is used as an expansion radius, the position range is expanded, and the expanded position range is used as a neighboring area of the target vehicle station.
In one embodiment of the present application, it is determined whether each vehicle station is located in the neighboring area, the vehicle station located in the neighboring area is taken as a neighboring station of the target vehicle station, and the number of the neighboring stations is counted and obtained.
Step 606, generating nearby station distance information based on the distance between each nearby station and the target vehicle station.
In one embodiment of the present application, after obtaining each nearby station, distance information between the target vehicle station and each nearby station is further calculated, and the nearby station distance information is generated according to the obtained distance information. Optionally, the sum of the obtained multiple pieces of distance information may be used as the distance information of the nearby station; the average value of the obtained plurality of distance information may be used as the distance information of the nearby station; the minimum value of the obtained plurality of distance information may be used as the nearby station distance information.
In the vehicle station management method provided by the embodiment of the application, station position information of a plurality of vehicle stations in a target area is obtained by determining the target area to which the target vehicle station belongs; determining at least one nearby station in each vehicle station according to the geographic position of the target vehicle station and a preset statistical radius, and performing statistics to obtain the number of the nearby stations; and generating the distance information of the nearby stations according to the distance between each nearby station and the target vehicle station. According to the vehicle station management method provided by the embodiment of the application, the accuracy of the station information of the target vehicle station can be ensured, a foundation is provided for judging the reasonable setting degree of the target vehicle station, and then more appropriate management measures can be adopted for the target vehicle station, so that the practicability of the target vehicle station is improved, and the operation cost of an operator is also reduced.
Referring to fig. 7, a flowchart of another vehicle station management method provided in this embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. On the basis of the embodiment shown in fig. 2, the step 204 may specifically include the following steps:
step 702, the creating time length, the site area, the geographic position, the vehicle information of the super-region, the flow information and the information of the nearby sites are used as constraint factors of the target vehicle sites.
Step 704, obtaining weight values corresponding to the constraint factors.
Step 706, obtaining site quantization data according to each constraint factor and the weight value corresponding to each constraint factor.
In one embodiment of the present application, the creation time, the site area, the geographic location, the over-the-road vehicle information, the traffic information, and the nearby sites may be setPoint information as constraint factor X of target vehicle stationiAnd the weight value corresponding to each constraint factor is recorded as kiAt this time, for n constraint factors, the station quantized data F is:
Figure BDA0002265787310000151
in an embodiment of the present application, at least one nearby station corresponding to the target vehicle station may also be obtained, and a flow information average value T of the at least one nearby station is calculated, where for n constraint factors, the station quantized data F is:
Figure BDA0002265787310000152
in the vehicle station management method provided by the embodiment of the application, the creation time, the station area, the geographical position, the vehicle information of the super-region, the flow information and the information of the nearby stations are used as constraint factors of the target vehicle station; acquiring a weight value corresponding to each constraint factor; and obtaining site quantization data according to each constraint factor and the weight value corresponding to each constraint factor. According to the vehicle station management method provided by the embodiment of the application, the station quantized data obtained by the method comprise quantized values of all the constraint factors, and the station quantized data can comprehensively and comprehensively reflect the reasonable degree of the target vehicle station setting.
Referring to fig. 8, a flowchart of another vehicle station management method provided in this embodiment is shown, which can be applied to the terminal 102 in the implementation environment described above. On the basis of the embodiment shown in fig. 7, the step 206 may specifically include the following steps:
step 802, determining whether the station quantized data is greater than a preset quantized threshold.
And step 804, if the station quantized data are greater than or equal to a preset quantized threshold value, outputting a quantized result of the target vehicle station, wherein the quantized result is used for representing that the target vehicle station is reasonably set.
And 806, if the station quantized data are smaller than a preset quantized threshold value, managing the target vehicle station.
In an embodiment of the application, the preset quantization threshold is used for representing that the degree of reasonability of the corresponding vehicle station setting just meets the requirement, when the station quantization data is greater than or equal to the preset quantization threshold, the target vehicle station setting is reasonable, and a quantization result of the target vehicle station is output. When the station quantized data are smaller than the preset quantized threshold value, the reasonable setting degree of the target vehicle station is not met, and the target vehicle station needs to be managed, including operations such as deletion and modification.
In an embodiment of the present application, the step of managing the target vehicle station may refer to fig. 9, which shows a flowchart of another vehicle station management method provided in this embodiment, and the vehicle station management method may be applied to the terminal 102 in the implementation environment described above, and specifically includes the steps of:
step 902, obtaining a quantization value corresponding to each constraint factor according to each constraint factor and a weight value corresponding to each constraint factor.
Step 904, determining at least one constraint factor to be modified according to each quantization value and the quantization threshold corresponding to each quantization value.
Step 906, managing the target vehicle station according to the at least one constraint factor to be modified.
In one embodiment of the present application, for the ith constraint factor, the corresponding quantization value is Xi·kiObtaining the quantization threshold T corresponding to the ith constraint factoriSequentially judging Xi·kiAnd TiWhen X is greater than or equal toi·kiLess than TiAnd then, taking the constraint factor as a constraint factor to be modified, and managing the target vehicle station according to at least one constraint factor to be modified.
For example, when the constraint factor corresponding to the station area is the constraint factor to be modified, a modification instruction is sent to the corresponding vehicle station modification system, and the modification instruction is used for modifying the station area of the target vehicle station; and when the constraint factor corresponding to the vehicle information in the super region is the constraint factor to be modified, sending a modification instruction to a corresponding vehicle station modification system, wherein the modification instruction is used for adjusting the geographic position of the target vehicle station.
In the vehicle station management method provided by the embodiment of the application, whether station quantized data are larger than a preset quantized threshold value is judged; and if the station quantized data are smaller than a preset quantized threshold value, managing the target vehicle station. Managing a target vehicle site, comprising: obtaining a quantization value corresponding to each constraint factor according to each constraint factor and a weight value corresponding to each constraint factor; determining at least one constraint factor to be modified according to each quantization value and a quantization threshold corresponding to each quantization value; and managing the target vehicle station according to at least one constraint factor to be modified. According to the vehicle station management method provided by the embodiment of the application, the target vehicle station can be managed according to the station quantitative data, the corresponding station information which needs to be specifically modified can be determined, and the management efficiency of the vehicle station is improved.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
Referring to fig. 10, a block diagram of a vehicle station management device 1000 according to an embodiment of the present application is shown. As shown in fig. 10, the vehicle station management apparatus 1000 may include: a station information obtaining module 1001, a quantifying module 1002, and a management module 1003, wherein:
in an embodiment of the present application, the station information obtaining module 1001 is specifically configured to:
determining a target area to which a target vehicle station belongs;
acquiring historical vehicle driving data in a target area;
and acquiring the passing vehicle information and the flow information of the target vehicle station according to the historical vehicle driving data.
In an embodiment of the present application, the station information obtaining module 1001 is further specifically configured to:
acquiring station position information corresponding to a plurality of vehicle stations in a target area;
generating a station classification tree according to station position information corresponding to each vehicle station and a nearest node algorithm;
acquiring unlocking position information and locking position information corresponding to each running information in historical vehicle running data;
inputting unlocking position information and locking position information corresponding to each driving information into a station classification tree to obtain vehicle stations to which each unlocking position information and each locking position information belong;
and counting the quantity of unlocking position information and locking position information corresponding to the target vehicle station, and generating flow information of the target vehicle station.
In an embodiment of the present application, the station information obtaining module 1001 is further specifically configured to:
acquiring a plurality of locking position information corresponding to a target vehicle station;
and acquiring the passing-area vehicle information of the target vehicle station according to the locking position information corresponding to the target vehicle station and the geographical position of the target vehicle station.
In an embodiment of the present application, the station information obtaining module 1001 is further specifically configured to:
determining a target area to which a target vehicle station belongs, and acquiring station position information of a plurality of vehicle stations in the target area;
determining at least one nearby station in each vehicle station according to the geographic position of the target vehicle station and a preset statistical radius, and performing statistics to obtain the number of the nearby stations;
and generating the distance information of the nearby stations according to the distance between each nearby station and the target vehicle station.
In an embodiment of the present application, the quantization module 1002 is specifically configured to:
the creating time length, the site area, the geographic position, the vehicle information of the super region, the flow information and the information of nearby sites are used as constraint factors of the target vehicle sites;
acquiring a weight value corresponding to each constraint factor;
and obtaining site quantization data according to each constraint factor and the weight value corresponding to each constraint factor.
In an embodiment of the present application, the management module 1002 is specifically configured to:
judging whether the station quantized data is larger than a preset quantized threshold value;
and if the station quantized data are smaller than a preset quantized threshold value, managing the target vehicle station.
In an embodiment of the present application, the management module 1002 is further specifically configured to:
obtaining a quantization value corresponding to each constraint factor according to each constraint factor and a weight value corresponding to each constraint factor;
determining at least one constraint factor to be modified according to each quantization value and a quantization threshold corresponding to each quantization value;
and managing the target vehicle station according to at least one constraint factor to be modified.
For specific limitations of the vehicle station management device, reference may be made to the above limitations of the vehicle station management method, which are not described herein again. The respective modules in the above vehicle station management apparatus may be entirely or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a vehicle station management method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station point quantitative data of a target vehicle station point according to the station point information;
and managing the target vehicle station according to the station quantitative data.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station point quantitative data of a target vehicle station point according to the station point information;
and managing the target vehicle station according to the station quantitative data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (11)

1. A vehicle station management method, characterized in that the method comprises:
acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
generating station quantitative data of the target vehicle station according to the station information;
and managing the target vehicle station according to the station quantitative data.
2. The method of claim 1, wherein the obtaining station information for the target vehicle station comprises:
determining a target area to which the target vehicle station belongs;
acquiring historical vehicle driving data in the target area;
and acquiring the passing vehicle information and the flow information of the target vehicle station according to the historical vehicle driving data.
3. The method of claim 2, wherein the obtaining traffic information for the target vehicle site from the historical vehicle travel data comprises:
acquiring station position information corresponding to a plurality of vehicle stations in the target area;
generating a station classification tree according to station position information corresponding to each vehicle station and a nearest node algorithm;
acquiring unlocking position information and locking position information corresponding to each running information in the historical vehicle running data;
inputting unlocking position information and locking position information corresponding to each piece of driving information into the station classification tree to obtain vehicle stations to which each piece of unlocking position information and each piece of locking position information belong;
and counting the quantity of the unlocking position information and the locking position information corresponding to the target vehicle station, and generating the flow information of the target vehicle station.
4. The method of claim 3, wherein the obtaining of the passing vehicle information for the target vehicle station from the historical vehicle travel data comprises:
obtaining a plurality of locking position information corresponding to the target vehicle station;
and acquiring the passing area vehicle information of the target vehicle station according to the locking position information corresponding to the target vehicle station and the geographic position of the target vehicle station.
5. The method according to claim 1, wherein the nearby station information includes information on the number of nearby stations and the distance to the nearby stations, and the acquiring the station information of the target vehicle station includes:
determining a target area to which the target vehicle station belongs, and acquiring station position information of a plurality of vehicle stations in the target area;
determining at least one nearby station in each vehicle station according to the geographic position of the target vehicle station and a preset statistical radius, and performing statistics to obtain the number of the nearby stations;
and generating the distance information of the nearby stations according to the distance between each nearby station and the target vehicle station.
6. The method of claim 1, wherein the generating station quantitative data for the target vehicle station from the station information comprises:
taking the creating time length, the site area, the geographic position, the super-region vehicle information, the flow information and the nearby site information as constraint factors of the target vehicle site;
acquiring a weight value corresponding to each constraint factor;
and obtaining the site quantized data according to each constraint factor and the weight value corresponding to each constraint factor.
7. The method of claim 6, wherein managing the target vehicle site based on the site quantification data comprises:
judging whether the site quantized data is larger than a preset quantized threshold value;
and if the station quantized data are smaller than a preset quantized threshold value, managing the target vehicle station.
8. The method of claim 7, wherein said managing the target vehicle station comprises:
obtaining a quantization value corresponding to each constraint factor according to each constraint factor and a weight value corresponding to each constraint factor;
determining at least one constraint factor to be modified according to each quantized value and a quantization threshold corresponding to each quantized value;
and managing the target vehicle station according to the at least one constraint factor to be modified.
9. A vehicle station management apparatus, characterized in that the apparatus comprises:
the station information acquisition module is used for acquiring station information of a target vehicle station; the station information comprises at least one of creation time length, station area, geographical position, super-region vehicle information, flow information and nearby station information;
the quantization module is used for generating station point quantization data of the target vehicle station point according to the station point information;
and the management module is used for managing the target vehicle station according to the station quantitative data.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
CN201911087242.8A 2019-11-08 2019-11-08 Vehicle station management method and device, computer equipment and storage medium Pending CN111126752A (en)

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