Public parking resource management method and system based on big data technology

Abstract

The application discloses a public parking resource management method and system based on big data technology and relates to the field of public parking resource management. The parking resource information set of the parking resource and the parking demand information matrix are constructed by acquiring the parking resource information published by the resource end user providing the parking space, the basic information and the parking demand information of the demand end user with parking demand at the current t moment within the time threshold T, the resource-demand matching model is constructed, the parking demand information and the parking resource information at the current t moment are matched by using the model, the first recommendation strategy of the cost priority and the second recommendation strategy of the distance priority of the demand end user are generated according to the matching result, the selectable parking resource information under the recommendation strategy is acquired, the selectable parking resource is selected by the demand end user, and the parking resource information matrix and the parking demand information set are dynamically updated according to the selection result of the demand end user.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of public parking resource management, in particular to a public parking resource management method and system based on big data technology. BACKGROUND

[0002] In most cities in China, the phenomenon of insufficient utilization of parking resources is widespread, and parking resources are severely wasted. Among them, the main manifestation is that parking demand is concentrated in the work area during the day and in the residential area at night, and this imbalance in time and space makes it possible to share urban parking spaces. The current problems of urban shared parking spaces in practice are: 1) unreserved vehicles entering the city and occupying parking spaces; 2) reserved vehicles entering the city and not parking in the reserved parking spaces. Therefore, from the perspective of complementary parking resources, how to integrate fragmented and limited parking resources to solve the time and space imbalance of urban parking demand is of great significance to the efficient use of urban dedicated parking spaces.

[0003] There have been many experts and scholars in the field of shared parking spaces in existing technologies who have conducted theoretical and applied research: Xu Xin (2018) designed an intelligent ground lock and proposed a community parking space sharing platform, which provides a reservation management system for parking space managers, maintenance personnel and parking space owners, and can realize idle parking space information publishing, parking reservation and use; Lu Danping (2019) designed a WeChat applet for self-service parking based on a network cloud server, which optimizes the user management mode to reduce users' malicious reservation and occupation of parking spaces; Zhang Heng (2022) designed a shared parking space cloud platform based on NB-lot, which provides parking lock management functions for private parking space owners through the WeChat applet. Parking owners can remotely control the parking lock through the applet and share the parking space with friends and visitors. Chen Jun et al. (2023) used parking arrival and departure, parking and traffic data to propose a time and space resource sharing method for parking spaces based on single land use measures and combined land use facilities.

[0004] In summary, although there have been a large number of literatures and applications related to shared parking spaces in parking lots, there are still some deficiencies in the design of urban shared parking spaces. The main manifestations are as follows: in the technical aspect, although intelligent ground locks, shared parking space cloud platforms, and time and space resource sharing of parking spaces have achieved remarkable results in public parking lots, they have not been able to integrate fragmented and limited parking resources, making it difficult to adapt to the increasingly complex urban parking demand. Therefore, we propose a public parking resource management method and system based on big data technology. SUMMARY

[0005] The main purpose of the present application is to provide a public parking resource management method and system based on big data technology, which can effectively solve the problems in the background art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] Public parking resource management methods based on big data technology include:

[0008] Get time threshold The current state within At any given time, parking space resource information published by users providing parking spaces constitutes the first... A collection of parking space resource information. Organize and collect Get Parking space resource information matrix at any time = ,in, For the present At any given time, the number of parking spaces available, and ∈ ;

[0009] The parking space resource information includes parking space location, parking space type, vacancy duration, and charging information; The expression for the set of parking space resource information for each parking space is: ={ , , , }, where, for Time of the first Parking space location information for each parking space resource; for Time of the first Parking space type information for each parking space resource; for Time of the first Information on the available time of each parking space; for Time of the first The functional relationship between parking fees and time for each parking space.

[0010] Get current At any given time, the basic information of users with parking needs and their parking space requirements are used to construct the first... A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time = ,in, For the present At any given moment, the number of users with parking needs, and ∈ ;

[0011] The basic information includes the location where the vehicle is located, the type of the vehicle; the parking space demand information includes the parking duration; the expression of the parking space demand information set of the first demand end user is: { , , , }, wherein, is the location information of the vehicle of the first demand end user at the moment; is the type information of the vehicle of the first demand end user at the moment; is the parking duration information of the first demand end user at the moment.

[0012] A resource-demand matching model is constructed, the model is used to match the parking space demand information and the parking space resource information at the current moment, and a parking space recommendation strategy for the demand end user is generated according to the matching result, including a first recommendation strategy of cost priority and a second recommendation strategy of distance priority.

[0013] The resource-demand matching model is specifically:

[0014] ;

[0015] ;

[0016] In the formula, , is a weighted coefficient.

[0017] The selectable parking space resource information under the recommendation strategy is obtained, the selectable parking space resource is selected by the demand end user, and the parking space resource information matrix and the parking space demand information set are dynamically updated according to the selection result of the demand end user.

[0018] The dynamic update frequency of the parking space resource information matrix and the parking space demand information set is determined according to the following principles:

[0019] Principle one: within a time threshold , when any of the demand end users performs a selection behavior, the parking space resource information matrix and the parking space demand information set ​​​​​​​Update;

[0020] Principle Two: If within the time threshold If no user with any of the aforementioned demands makes a selection, then the parking space resource information matrix is ​​processed at a fixed time frequency λ. and parking space demand information collection Update, where 0 < λ ≤ .

[0021] The method further includes:

[0022] Based on the information on selectable parking spaces obtained under the recommendation strategy, calculate the distance between the user and the selectable parking space and the parking fee when any selectable parking space is selected.

[0023] Arrange the obtained distance values ​​in ascending order, which is the second recommended strategy based on distance priority;

[0024] Arranging the obtained parking fees in ascending order constitutes the first recommended strategy prioritizing fees.

[0025] A public parking resource management system based on big data technology includes:

[0026] The user-side module is used for parking space resource information published by resource-side users who provide parking spaces, as well as basic information and parking space demand information of demand-side users who have parking needs.

[0027] The parking space resource information acquisition module is used to obtain time thresholds. The current state within At any given time, parking space resource information published by users providing parking spaces constitutes the first... A collection of parking space resource information. Organize and collect Get Parking space resource information matrix at any time = ,in, For the present At any given time, the number of parking spaces available, and ∈ ;

[0028] The demand-side user information acquisition module is used to obtain the current user information. At any given time, the system constructs the first [database / database] based on the basic information of users with parking needs and their parking space requirements. A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time = ,in, For the present At any given moment, the number of users with parking needs, and ∈ ;

[0029] The matching model building module is used to construct a resource-demand matching model, and to use the model to match the current... The system matches real-time parking demand information with parking resource information, and generates parking recommendation strategies for users with demand based on the matching results, including a first recommendation strategy that prioritizes cost and a second recommendation strategy that prioritizes distance.

[0030] The information update module is used to dynamically update the parking space resource information matrix based on the selection results of the demand-side users. and parking space demand information collection .

[0031] The system also includes a memory, a processor, and a computer program stored in the memory and executable on the processor.

[0032] The present invention has the following beneficial effects:

[0033] Compared with existing technologies, by obtaining time thresholds The current state within At any given time, parking space resource information published by users providing parking spaces constitutes the first... A collection of parking space resource information. Organize and collect Get Parking space resource information matrix at any time Get the current At any given time, the basic information of users with parking needs and their parking space requirements are used to construct the first... A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time Construct a resource-demand matching model, and use the model to match current needs. The system matches current parking demand information with parking resource information, generates parking recommendation strategies for users based on the matching results, including a first recommendation strategy prioritizing cost and a second recommendation strategy prioritizing distance. It then obtains available parking resource information under each recommendation strategy, allows users to select available parking resources, and dynamically updates the parking resource information matrix based on the users' selections. and parking space demand information collection , can be integrated to fragmented, limited parking resources, idle parking resources are optimized by using matching model, make full use of public parking resources, so as to improve the status of urban parking resource shortage, uneven distribution. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 Flowchart of the present application based on big data technology public parking resource management method;

[0035] Figure 2 Structure block diagram of the present application based on big data technology public parking resource management system. DETAILED DESCRIPTION

[0036] The present application will be further described below in conjunction with specific embodiments, wherein the drawings are only used for exemplary description, and the representation is only a schematic diagram, not a physical diagram, and cannot be understood as a limitation of the present application, in order to better illustrate the specific embodiments of the present application, some components of the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product.

[0037] In this embodiment, a technical solution is provided, by designing an intelligent parking lock and a client application program, the resource end user can publish parking resource information through the client background management interface after installing the intelligent parking lock, and set the parking state, which can be divided into shared state and busy state, in the shared state, the parking can accept the reservation from the demand end user.

[0038] After the demand end user logs in the client, he can query the shared parking near the destination by himself, browse the information such as specification, location, reservation period, etc., and reserve the parking independently. He can also publish parking demand information through the client, and the platform can allocate parking resources uniformly through the resource-demand matching model.

[0039] After the reservation is completed, the demand end user will get dynamic unlocking password and other information, after the parking management personnel information verification and confirmation of the existence of the reservation order, he can drive into the parking area at a specific time, input the password to unlock the intelligent parking lock, and park the vehicle. After the use is completed, the user needs to pay the fee according to the regulation, drive away from the parking area, and complete the use. If the demand end user exceeds the time or uses the parking in an unstandard way, he will be punished.

[0040] The specific implementation process includes the following steps:

[0041] Step 1: the resource end user publishes parking resource information through the client background management interface, and the background obtains the current time threshold The parking resource information published by the resource end user providing the parking at the current time in the time threshold is used to construct the first parking resource information set of the parking resource information of the parking resource ​​ Organize and collect Get Parking space resource information matrix at any time = ,in, For the present At any given time, the number of parking spaces available, and ∈ ;

[0042] The parking space resource information includes the location, type, vacancy period, and pricing details; The expression for the set of parking space resource information for each parking space is: ={ , , , }, where, for Time of the first Parking space location information for each parking space resource; for Time of the first Parking space type information for each parking space resource; for Time of the first Information on the available time of each parking space; for Time of the first The functional relationship between parking fees and time for each parking space.

[0043] Step 2: Users on the demand side publish parking space demand information through the client's backend management interface and obtain current information. At any given time, the basic information of users with parking needs and their parking space requirements are used to construct the first... A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time = ,in, For the present At any given moment, the number of users with parking needs, and ∈ ;

[0044] Basic information includes vehicle location and vehicle type; parking space demand information includes parking duration; The expression for the set of parking space demand information of a user on the demand side is: ={ , , wherein, is the vehicle type information of the nth demand-side user at the moment; is is the vehicle type information of the nth demand-side user at the moment; is is the parking duration information of the nth demand-side user at the moment.

[0045] Step 3: constructing a resource-demand matching model, using the model to match the parking space demand information and the parking space resource information at the current moment, and generating a parking space recommendation strategy for the demand-side user according to the matching result, including a first recommendation strategy of cost priority and a second recommendation strategy of distance priority; the resource-demand matching model is specifically:

[0046]

[0047]

[0048] wherein, , is a weighted coefficient.

[0049] Step 4: obtaining the selectable parking space resource information under the recommendation strategy, selecting the selectable parking space resource by the demand-side user, and dynamically updating the parking space resource information matrix and the parking space demand information set according to the selection result of the demand-side user.

[0050] The dynamic update frequency of the parking space resource information matrix and the parking space demand information set is determined according to the following principles:

[0051] Principle one: within a time threshold , when any demand-side user performs a selection behavior, the parking space resource information matrix and the parking space demand information set are updated.

[0052] Principle two: if there is no selection behavior of any demand-side user within the time threshold , the parking space resource information matrix and the parking space demand information set are updated at a fixed time frequency λ, wherein 0 < λ ≤ .

[0053] ​​​​Step 5: according to the acquired selectable parking resource information under the recommended strategy, the distance value between the demand side user and the selectable parking resource and the generated parking fee when selecting any selectable parking resource are calculated respectively;

[0054] The acquired distance value is arranged from small to large in turn, that is, the distance priority second recommended strategy.

[0055] The acquired parking fee is arranged from low to high in turn, that is, the fee priority first recommended strategy.

[0056] The basic principle and main features of the present application and the advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A public parking resource management method based on big data technology, characterized in that, include: Get time threshold The current state within At any given time, parking space resource information published by users providing parking spaces constitutes the first... A collection of parking space resource information. Organize and collect Get Parking space resource information matrix at any time = ,in, For the present At any given time, the number of parking spaces available, and ∈ ; Get current At any given time, the basic information of users with parking needs and their parking space requirements are used to construct the first... A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time = ,in, For the present At any given moment, the number of users with parking needs, and ∈ ; Construct a resource-demand matching model, and use the model to match the current... The system matches parking space demand information with parking space resource information at any given time, and generates selectable parking space resource information for users with demand based on the matching results; it calculates the distance and parking fee between the selectable parking space resources and the corresponding users with demand; it generates a distance-first second recommendation strategy based on the distance, and a fee-first first recommendation strategy based on the parking fee. The system obtains information on selectable parking spaces under the recommended strategy, allows users to select available parking spaces, and dynamically updates the parking space information matrix based on the users' selections. and parking space demand information collection ; The resource-demand matching model is specifically as follows: ； ； In the formula, , These are weighting coefficients; The parking space resource information includes parking space location, parking space type, vacancy duration, and charging information; The expression for the set of parking space resource information for each parking space is: ={ , , , }, where, for Time of the first Parking space location information for each parking space resource; for Time of the first Parking space type information for each parking space resource; for Time of the first Information on the available time of each parking space; for Time of the first The functional relationship between parking fees and time for each parking space; The basic information includes the vehicle's location and vehicle type; the parking space requirement information includes parking duration; the... The expression for the set of parking space demand information of a user on the demand side is: ={ , , }, where, for Time of the first Location information of vehicles of each demand-side user; for Time of the first Vehicle type information for each demand-side user; for Time of the first Parking duration information for each user on the demand side.

2. The public parking resource management method based on big data technology according to claim 1, characterized in that, Parking space resource information matrix and parking space demand information collection The dynamic update frequency is determined based on the following principles: Principle 1: Within the time threshold Within this context, when any of the aforementioned demand-side users makes a selection, the parking space resource information matrix is ​​then updated. and parking space demand information collection Update; Principle Two: If within the time threshold If no user with any of the aforementioned demands makes a selection, then the parking space resource information matrix is ​​processed at a fixed time frequency λ. and parking space demand information collection Update, where 0 < λ ≤ .

3. The public parking resource management method based on big data technology according to claim 1, characterized in that, The method further includes: Based on the information on selectable parking spaces obtained under the recommendation strategy, calculate the distance between the user and the selectable parking space and the parking fee when any selectable parking space is selected. Arrange the obtained distance values ​​in ascending order, which is the second recommended strategy based on distance priority; Arranging the obtained parking fees in ascending order constitutes the first recommended strategy prioritizing fees.

4. A public parking resource management system based on big data technology, characterized in that: The system is used to implement the steps of the public parking resource management method based on big data technology as described in any one of claims 1-3, including: The user-side module is used for parking space resource information published by resource-side users who provide parking spaces, as well as basic information and parking space demand information of demand-side users who have parking needs. The parking space resource information acquisition module is used to obtain time thresholds. The current state within At any given time, parking space resource information published by users providing parking spaces constitutes the first... A collection of parking space resource information. Organize and collect Get Parking space resource information matrix at any time = ,in, For the present At any given time, the number of parking spaces available, and ∈ ; The demand-side user information acquisition module is used to obtain the current user information. At any given time, the system constructs the first [database / database] based on the basic information of users with parking needs and their parking space requirements. A collection of parking space demand information from individual users. Organize and collect Get Parking demand information matrix at any time = ,in, For the present At any given moment, the number of users with parking needs, and ∈ ; The matching model building module is used to construct a resource-demand matching model, and to use the model to match the current... The system matches parking space demand information with parking space resource information at any given time, and generates selectable parking space resource information for users with demand based on the matching results; it calculates the distance and parking fee between the selectable parking space resources and the corresponding users with demand; it generates a distance-first second recommendation strategy based on the distance, and a fee-first first recommendation strategy based on the parking fee. The information update module is used to dynamically update the parking space resource information matrix based on the selection results of the demand-side users. and parking space demand information collection .

5. The public parking resource management system based on big data technology according to claim 4, characterized in that, The system further includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, is able to implement the steps of the public parking resource management method based on big data technology as described in any one of claims 1-3.

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