A parking analysis method based on a big data platform

Abstract

The application provides a parking analysis method based on a big data platform, comprising the following steps: acquiring a parking lot layout map in a target range and a parking policy matched with each parking place in the parking lot layout map; matching each parking entrance and parking exit in a single structure map of a same parking lot with a corresponding parking policy, determining a first entering condition of each parking entrance and a second exiting condition of each parking exit in the same parking lot; constructing a parking guidance strategy of the same parking lot; capturing a first driving track of each surrounding vehicle of the parking lot and a second driving track of an in-parking-lot vehicle of the parking lot; constructing a current vehicle flow map of the same parking lot; based on the current vehicle flow map and the corresponding parking guidance strategy, deploying a current planning parking scheme of the corresponding parking lot, and then obtaining a range planning parking scheme of the target range; and transmitting to a user end for display. The parking difficulty is effectively relieved, and the parking experience is improved.

Description

Technical Field

[0001] This invention relates to the field of big data technology, and in particular to a parking analysis method based on a big data platform. Background Technology

[0002] With the increasing number of cars on the road, the traffic flow in large parking lots is also increasing. Currently, more and more parking lots are integrating networked smart parking systems to improve management efficiency. However, most parking lots are currently underground, and navigation typically only leads to the entrance. Although advancements in autonomous driving technology have improved how autonomous vehicles intelligently select parking lot entrances and exits and allocate parking spaces to users, users are still unfamiliar with the internal structure of the parking lot and the location of their assigned spaces. They must drive around the parking lot to find their way, which undoubtedly increases the difficulty of parking. Therefore, intelligent parking management is necessary.

[0003] Therefore, this invention proposes a parking analysis method based on a big data platform. Summary of the Invention

[0004] This invention provides a parking analysis method based on a big data platform. By acquiring parking lot layout maps and parking policies, it determines parking guidance strategies and constructs traffic flow maps by analyzing driving trajectories inside and around the parking lot. This allows for the planning of parking schemes, which are then transmitted to the user terminal for display. This facilitates intelligent management of parking lots, effectively alleviates parking difficulties, and improves the parking experience.

[0005] This invention provides a parking analysis method based on a big data platform, comprising:

[0006] Step 1: Obtain the parking lot layout map within the target area and the parking policy matched for each parking lot in the parking lot layout map;

[0007] Step 2: Match each parking entrance and parking exit in a single construction diagram of the same parking lot with the corresponding parking policy. Based on the matching results, determine the first entry condition for each parking entrance and the second exit condition for each parking exit in the same parking lot.

[0008] Step 3: Based on the first entry condition and the second exit condition, construct a parking guidance strategy for the same parking lot;

[0009] Step 4: Capture the first driving trajectory of vehicles surrounding each parking lot within the target area and the second driving trajectory of vehicles within the parking lot itself;

[0010] Step 5: Based on the first driving trajectory and the second driving trajectory, construct the current traffic flow map of the same parking lot;

[0011] Step 6: Based on the current traffic flow map and the corresponding parking guidance strategy, deploy the current planned parking scheme for the corresponding parking lot, and then obtain the range planned parking scheme for the target area;

[0012] Step 7: Transmit the planned parking scheme within the target area to the user terminal that needs to use the parking space within the target area for display.

[0013] Preferably, based on the matching results, the first entry condition for each parking entrance and the second exit condition for each parking exit in the same parking lot are determined, including:

[0014] Based on the matching results, the first limiting factor for each parking entrance in the same parking lot is extracted, and the first entry condition is constructed.

[0015] Simultaneously, based on the matching results, a second limiting factor is extracted for each parking exit in the same parking lot, and a second exit condition is constructed.

[0016] Preferably, based on the first entry condition and the second exit condition, a parking guidance strategy for the same parking lot is constructed, including:

[0017] Obtain all first entry conditions and all second exit conditions for the same parking lot;

[0018] Establish a total restricted entry set for all first entry conditions and a total restricted exit set for all second exit conditions;

[0019] The total restricted inbound set and the total restricted outbound set are mapped to obtain a mapping table;

[0020] Extract the mapping arrays from the mapping table, and analyze the in-field vehicle routes corresponding to each mapping array and the route usage probability of the corresponding in-field vehicle routes;

[0021] Based on the permitted route probability, configure the permitted entry probability for each parking entrance and the permitted exit probability for each parking exit;

[0022] Based on the vehicle routes within the same parking lot and the probabilities of allowed entry and exit, a parking guidance strategy for the same parking lot is constructed.

[0023] Preferably, based on the first driving trajectory and the second driving trajectory, a current traffic flow map of the same parking lot is constructed, including:

[0024] Based on all the first driving trajectories captured around the same parking lot, the first extraction of overlapping points is performed, and the second extraction of overlapping points is performed according to the coverage frequency of the driving trajectories, and an initial traffic flow map is obtained.

[0025] Based on the second driving trajectory of vehicles in the same parking lot itself, construct the in-park trajectory map for the same unit time period, and obtain the trajectory coverage of the in-park trajectory map.

[0026] Based on the coverage of all trajectories, a first analysis is performed on the usage of the same parking lot to obtain the current busy trajectory of the same parking lot, which is then appended to the initial traffic flow map to obtain the current traffic flow map.

[0027] Preferably, based on the current traffic flow map and the corresponding parking guidance strategy, a current planned parking scheme for the corresponding parking lot is deployed to obtain a range-based planned parking scheme for the target area, including:

[0028] Based on the parking guidance strategy, busy parking spaces, vacant parking spaces, and continuously occupied parking spaces in the current traffic flow map are determined, and the parking space type of busy parking spaces, vacant parking spaces, and continuously occupied parking spaces are determined, thereby determining the current planned parking scheme for each vacant parking space and the current planned parking scheme for each busy parking space.

[0029] Based on all currently planned parking schemes, a planned parking scheme for the target area is obtained.

[0030] Preferably, transmitting the planned parking scheme to the user terminal that needs to use parking spaces within the target area for display includes:

[0031] Determine the sub-planning scheme for each parking lot in the range planning parking scheme, and display the planned driving routes of the sub-planning scheme in a single-plane layout;

[0032] For each displayed single-plane layout, a multi-plane layout is constructed according to the location distribution of the corresponding parking lot within the corresponding target range;

[0033] The multi-plane layout is transmitted to the user terminal that needs to use the parking space within the target area for display.

[0034] Preferably, after transmitting the planned parking scheme to the user terminal that needs to use parking spaces within the target area, the method further includes:

[0035] Based on the usage information requiring parking space use within the target area, specific locations on the planned parking scheme within the area will be prominently displayed, specifically including:

[0036] Constraint factors under different conditions are extracted from the usage information according to preset constraints;

[0037] The constraint factors are sorted in a first order according to the user's wishes on the user terminal;

[0038] Simultaneously, the constraint deviation of each constraint factor from the corresponding constraint center is obtained, and the constraint factors are sorted in a second order.

[0039] Based on the first and second sorting results, obtain the final sorting value F for the same constraint factor;

[0040]

[0041] in, Indicates the current position corresponding to the same constraint factor. The constraint distance to the corresponding constraint center s0; This indicates the degree of constraint deviation corresponding to the same constraint factor; Indicates the total number of constraint factors; This indicates the current index of the corresponding constraint factor in the second sort, and the index is 1, 2, ..., m1; This indicates the current index of the corresponding constraint factor in the first sort, and the index is 1, 2, ..., m1; This represents the strongest willingness value obtained from the user's willingness corresponding to all constraint factors; This represents the desired value matched for the same constraint factor;

[0042] Based on the final sorting value F, the constraint factors are labeled, and based on the labeling results and the range planning parking scheme, parking locations are planned, and the main constraint factors of each parking location are prominently represented.

[0043] Based on the saliency representation results, determine the location recommendation level of the corresponding parking location;

[0044] Specific location points are selected based on the recommended location level and then displayed prominently.

[0045] Preferably, based on the saliency representation results, the location recommendation degree of the corresponding parking location is determined, including:

[0046] in, The saliency representation result represents the first... The representation value of a significant marker, and the value range is [0, 1]; This represents the weight value of the j2th saliency marker in the saliency representation result, where, ; This indicates the number of salient markers in the salient representation result; The recommendation factor represents the j2th significant marker in the significant representation results; max represents the sign of the maximum function; The symbol for an exponential function; This represents the location recommendation coefficient corresponding to the saliency representation result; This represents the recommendation impact coefficient corresponding to the saliency representation result; This indicates the degree of recommendation of the location corresponding to the significant representation result.

[0047] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0048] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0049] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0050] Figure 1 This is a flowchart of a parking analysis method based on a big data platform, as described in an embodiment of the present invention. Detailed Implementation

[0051] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0052] This invention provides a parking analysis method based on a big data platform, such as... Figure 1 As shown, it includes:

[0053] Step 1: Obtain the parking lot layout map within the target area and the parking policy matched for each parking lot in the parking lot layout map;

[0054] Step 2: Match each parking entrance and parking exit in a single construction diagram of the same parking lot with the corresponding parking policy. Based on the matching results, determine the first entry condition for each parking entrance and the second exit condition for each parking exit in the same parking lot.

[0055] Step 3: Based on the first entry condition and the second exit condition, construct a parking guidance strategy for the same parking lot;

[0056] Step 4: Capture the first driving trajectory of vehicles surrounding each parking lot within the target area and the second driving trajectory of vehicles within the parking lot itself;

[0057] Step 5: Based on the first driving trajectory and the second driving trajectory, construct the current traffic flow map of the same parking lot;

[0058] Step 6: Based on the current traffic flow map and the corresponding parking guidance strategy, deploy the current planned parking scheme for the corresponding parking lot, and then obtain the range planned parking scheme for the target area;

[0059] Step 7: Transmit the planned parking scheme within the target area to the user terminal that needs to use the parking space within the target area for display.

[0060] In this embodiment, the target range is the area comprising several parking lots.

[0061] In this embodiment, each parking lot has its corresponding entrance and exit, as well as its corresponding parking policy. For example, parking spaces 1-100 are VIP parking spaces, parking spaces 101-200 are temporary parking spaces, parking lot entrance 1 is for temporary vehicles, and parking lot entrance 2 is for VIP vehicles.

[0062] In this embodiment, the parking lot layout map refers to the parking lot layout map within the target area, and it is pre-set. It is mainly used to determine the parking lots within the area that can accommodate vehicles. The individual structural map refers to the structural structure of the corresponding parking lot, which can effectively display the overall structure. For example, if the parking lot has two underground levels, the parking entrance and parking exit can be determined through the structural map, so as to match with the policy and determine which vehicles are used by different parking entrances and which vehicles are used by different parking exits, which facilitates further planning.

[0063] In this embodiment, the first entry condition refers to the conditions for entering through the entrance, such as the entry time period, entry fee standard, and vehicle type. The second exit condition is also related to the exit time period and vehicle type.

[0064] In this embodiment, the parking guidance strategy refers to determining which vehicle needs to drive through which entrance in the same parking lot based on the first entry condition and the second exit condition, and the parking guidance strategy is to provide a guidance reference for the trajectory route formed by the entrance and exit.

[0065] In this embodiment, the first driving trajectory refers to the trajectory of the vehicle driving around the parking lot, such as the trajectory of a vehicle that tends to enter the parking lot, or the trajectory of the vehicle corresponding to the request to park within the target range is captured by the big data platform and then used as the first driving trajectory.

[0066] In this embodiment, the second driving trajectory refers to the trajectory inside the parking lot, such as the trajectory from the parking entrance to the parking space, the trajectory from the parking space to the parking exit, the trajectory from one parking space to another, etc. Any vehicle movement route generated inside the parking lot can be regarded as the second driving trajectory.

[0067] In this embodiment, a traffic flow map of the parking lot can be effectively constructed based on the first driving trajectory and the second driving trajectory. The traffic flow map refers to a map of the roads occupied by the vehicle movement trajectory, or a map of the flow density of each location point corresponding to the vehicle movement trajectory.

[0068] In this embodiment, the current planned parking scheme refers to the parking spaces that can be parked when a temporary vehicle enters the parking lot. In other words, it is to obtain the planned route from the entrance to the corresponding parking space. This means that all parking spaces that can be parked in the same parking lot can be planned, thereby obtaining the route planning of all parking lots within the target range.

[0069] The parking plan displayed on the display terminal is shown in layers. For example, there are three types of parking in the target area: VIP parking, temporary parking, and semi-open parking. Each parking method corresponds to a display interface, which mainly shows the planning status of different parking lots in the target area for that parking method. The display is carried out layer by layer by switching between different modes.

[0070] In this embodiment, the user terminal can refer to a mobile phone, laptop, etc.

[0071] The beneficial effects of the above technical solution are: by acquiring the parking lot layout map and parking policy, a parking guidance strategy can be determined, and by analyzing the driving trajectory inside the parking lot and the driving trajectory around it, a traffic flow map can be constructed, and then a parking plan can be planned. The parking plan is then transmitted to the user terminal for display, which facilitates the intelligent management of the parking lot, effectively alleviates the difficulty of parking, and improves the parking experience.

[0072] This invention provides a parking analysis method based on a big data platform, which determines, based on matching results, a first entry condition for each parking entrance and a second exit condition for each parking exit in the same parking lot, including:

[0073] Based on the matching results, the first limiting factor for each parking entrance in the same parking lot is extracted, and the first entry condition is constructed.

[0074] Simultaneously, based on the matching results, a second limiting factor is extracted for each parking exit in the same parking lot, and a second exit condition is constructed.

[0075] In this embodiment, the first limiting factor and the second limiting factor are related to the type of vehicle parking, the parking time, etc.

[0076] The beneficial effects of the above technical solution are: by extracting the limiting factors of the entrance and exit, it is easier to construct the corresponding conditions, which provides an effective reference for subsequent planning and avoids parking errors due to failure to consider limiting factors.

[0077] This invention provides a parking analysis method based on a big data platform, which constructs a parking guidance strategy for the same parking lot based on a first entry condition and a second exit condition, including:

[0078] Obtain all first entry conditions and all second exit conditions for the same parking lot;

[0079] Establish a total restricted entry set for all first entry conditions and a total restricted exit set for all second exit conditions;

[0080] The total restricted inbound set and the total restricted outbound set are mapped to obtain a mapping table;

[0081] Extract the mapping arrays from the mapping table, and analyze the in-field vehicle routes corresponding to each mapping array and the route usage probability of the corresponding in-field vehicle routes;

[0082] Based on the permitted route probability, configure the permitted entry probability for each parking entrance and the permitted exit probability for each parking exit;

[0083] Based on the vehicle routes within the same parking lot and the probabilities of allowed entry and exit, a parking guidance strategy for the same parking lot is constructed.

[0084] In this embodiment, since the same parking lot may have multiple entrances and multiple exits, all first entry conditions and all second exit conditions are obtained.

[0085] In this embodiment, the total restricted entry set refers to all the restrictions at each entrance, and the total restricted exit set refers to all the restrictions at each exit.

[0086] In this embodiment, the restriction mapping is mainly to reasonably match the exit and the entrance. For example, entrance 1 is VIP, entrance 2 is temporary, and exit 1 and exit 2 are both VIP and temporary. Therefore, the restriction mapping is the mapping between VIP and VIP, and between temporary. The resulting mapping table includes entrance 1, entrance 2, exit 1, and exit 2. For example: entrance 1 - exit 1, 2, entrance 2 - exit 1, 2.

[0087] The mapping array is 1-12, 2-12. Then, the routes 1-1, 1-2, 2-1, and 2-2 and their corresponding probabilities are obtained respectively. The probability is obtained by comparing the number of trips on the route with the total number of trips on the routes 1-1, 1-2, 2-1, and 2-2 corresponding to the parking lot.

[0088] In this embodiment, the allowed entry probability and allowed exit probability are determined based on the entry and exit frequencies, providing a basis for determining the guidance strategy for the entrance and exit.

[0089] The beneficial effects of the above technical solution are: by determining the entry and exit conditions of the parking lot and performing restriction mapping, the probability of permitted use of different routes can be determined, thereby constructing a parking guidance strategy for the parking lot and providing an effective and reasonable basis for subsequent parking space planning.

[0090] This invention provides a parking analysis method based on a big data platform, which constructs a current traffic flow map of the same parking lot based on a first driving trajectory and a second driving trajectory, including:

[0091] Based on all the first driving trajectories captured around the same parking lot, the first extraction of overlapping points is performed, and the second extraction of overlapping points is performed according to the coverage frequency of the driving trajectories, and an initial traffic flow map is obtained.

[0092] Based on the second driving trajectory of vehicles in the same parking lot itself, construct the in-park trajectory map for the same unit time period, and obtain the trajectory coverage of the in-park trajectory map.

[0093] Based on the coverage of all trajectories, a first analysis is performed on the usage of the same parking lot to obtain the current busy trajectory of the same parking lot, which is then appended to the initial traffic flow map to obtain the current traffic flow map.

[0094] In this embodiment, overlapping points refer to overlapping locations on the trajectory, and coverage frequency refers to the number of times the same route is repeatedly traveled. An initial traffic flow map is obtained through two extractions, which mainly focuses on the driving situation around the parking lot.

[0095] In this embodiment, the second driving trajectory of the vehicles in the parking lot is the driving trajectory between different entrances to exits, entrances to parking spaces, parking spaces to exits, etc., so the trajectory coverage under the corresponding unit time period can be obtained, that is, the coverage of the same driving route. The longer the coverage route and the more times the coverage occurs, the greater the corresponding coverage.

[0096] In this embodiment, the unit time period refers to once every 10 seconds, which means that the driving situation inside the parking lot needs to be updated in real time to ensure that the route planning is up-to-date.

[0097] In this embodiment, the currently busy trajectory refers to a trajectory line with high coverage. By attaching this line to the traffic flow map, the current traffic flow map can be obtained.

[0098] The beneficial effects of the above technical solution are: by capturing the driving trajectory and extracting points twice, it is easy to obtain the initial traffic flow map; and by determining the trajectory coverage of the second driving trajectory, it is easy to extract the current busy trajectory and attach it to the initial traffic flow map, thus providing a real-time current traffic flow map for the planning scheme.

[0099] This invention provides a parking analysis method based on a big data platform. Based on the current traffic flow map and corresponding parking guidance strategies, it deploys a current planned parking scheme for the corresponding parking lot, thereby obtaining a range-based planned parking scheme for the target area, including:

[0100] Based on the parking guidance strategy, busy parking spaces, vacant parking spaces, and continuously occupied parking spaces in the current traffic flow map are determined, and the parking space type of busy parking spaces, vacant parking spaces, and continuously occupied parking spaces are determined, thereby determining the current planned parking scheme for each vacant parking space and the current planned parking scheme for each busy parking space.

[0101] Based on all currently planned parking schemes, a planned parking scheme for the target area is obtained.

[0102] In this embodiment, a busy parking space refers to a space where a vehicle leaves but is subsequently occupied by another vehicle; an vacant parking space refers to a space that was not occupied in the time period before the current moment; and a continuously occupied parking space refers to a parking space that is constantly occupied by the same vehicle.

[0103] In this embodiment, the parking space type can be a car, a minivan, or the like.

[0104] The beneficial effects of the above technical solution are: by determining different parking spaces and their corresponding types, the current planned parking scheme can be effectively determined, thereby obtaining a range-based planned parking scheme and alleviating parking difficulties.

[0105] This invention provides a parking analysis method based on a big data platform, which transmits the planned parking scheme within a specified range to a user terminal that needs to use parking spaces within the target range for display, including:

[0106] Determine the sub-planning scheme for each parking lot in the range planning parking scheme, and display the planned driving routes of the sub-planning scheme in a single-plane layout;

[0107] For each displayed single-plane layout, a multi-plane layout is constructed according to the location distribution of the corresponding parking lot within the corresponding target range;

[0108] The multi-plane layout is transmitted to the user terminal that needs to use the parking space within the target area for display.

[0109] In this embodiment, each parking lot has its corresponding parking planning scheme, and each parking lot has its corresponding single-plane layout.

[0110] In this embodiment, a multi-plane layout refers to a layout in which multiple single-plane layouts are joined together to form a single plane.

[0111] The beneficial effects of the above technical solution are: by displaying the route of each parking lot in a single-plane layout and then implementing a multi-plane layout, it is easier to provide effective reminders and reduce the difficulty of parking.

[0112] This invention provides a parking analysis method based on a big data platform. After transmitting the planned parking scheme to the user terminal that needs to use parking spaces within the target area, the method further includes:

[0113] Based on the usage information requiring parking space use within the target area, specific locations on the planned parking scheme within the area will be prominently displayed, specifically including:

[0114] Constraint factors under different conditions are extracted from the usage information according to preset constraints;

[0115] The constraint factors are sorted in a first order according to the user's wishes on the user terminal;

[0116] Simultaneously, the constraint deviation of each constraint factor from the corresponding constraint center is obtained, and the constraint factors are sorted in a second order.

[0117] Based on the first and second sorting results, obtain the final sorting value F for the same constraint factor;

[0118]

[0119] in, Indicates the current position corresponding to the same constraint factor. The constraint distance to the corresponding constraint center s0; This indicates the degree of constraint deviation corresponding to the same constraint factor; Indicates the total number of constraint factors; This indicates the current index of the corresponding constraint factor in the second sort, and the index is 1, 2, ..., m1; This indicates the current index of the corresponding constraint factor in the first sort, and the index is 1, 2, ..., m1; This represents the strongest willingness value obtained from the user's willingness corresponding to all constraint factors; This represents the desired value matched for the same constraint factor;

[0120] Based on the final sorting value F, the constraint factors are labeled, and based on the labeling results and the range planning parking scheme, parking locations are planned, and the main constraint factors of each parking location are prominently represented.

[0121] Based on the saliency representation results, determine the location recommendation level of the corresponding parking location;

[0122] Specific location points are selected based on the recommended location level and then displayed prominently.

[0123] In this embodiment, user preference refers to where and how a user wants to park their car. Therefore, factors can be sorted according to preference.

[0124] In this embodiment, the preset constraints refer to the conventional parking constraints within the target range, such as parking type and parking location. Therefore, the constraint center of the conventional parking constraints can be obtained.

[0125] In this embodiment, the constraint factors are extracted based on user usage information, and a second ranking is performed by analyzing the deviation from the corresponding constraint center.

[0126] In this embodiment, the usage information refers to what kind of parking space the user wants and where to park.

[0127] In this embodiment, the final sort value is used to re-sort all constraint factors, and the label setting is used to determine the important role of the constraint factor in subsequent route planning.

[0128] In this embodiment, the parking location refers to a location where the user's vehicle can be parked.

[0129] In this embodiment, saliency means that since the parking location is determined based on a combination of different constraint factors, the degree of recommendation can be determined through saliency, making it easier for users to select.

[0130] The beneficial effects of the above technical solution are: by determining the user's intention and the degree of constraint deviation, it is convenient to sort the constraint factors twice, and calculate the final ranking value of the same constraint factor based on the two sorts. This makes it convenient to recommend the best parking location to the user while satisfying the user's intention, and the prominent display ensures effective reminders to the user, further reducing the difficulty of parking.

[0131] This invention provides a parking analysis method based on a big data platform, which determines the location recommendation degree of a corresponding parking spot based on saliency representation results, including:

[0132] in, The saliency representation result represents the first... The representation value of a significant marker, and the value range is [0, 1]; This represents the weight value of the j2th saliency marker in the saliency representation result, where, ; This indicates the number of salient markers in the salient representation result; The recommendation factor represents the j2th significant marker in the significant representation results; max represents the sign of the maximum function; The symbol for an exponential function; This represents the location recommendation coefficient corresponding to the saliency representation result; This represents the recommendation impact coefficient corresponding to the saliency representation result; This indicates the degree of recommendation of the location corresponding to the significant representation result.

[0133] The beneficial effects of the above technical solution are: by performing recommendation calculations on the salient markers in the salient representation results, it is easier to effectively determine the location recommendation degree of the corresponding parking location, providing a basis for recommending suitable parking locations to users, and further reducing the difficulty of parking.

[0134] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A parking analysis method based on a big data platform, characterized in that, include: Step 1: Obtain the parking lot layout map within the target area and the parking policy matched for each parking lot in the parking lot layout map; Step 2: Match each parking entrance and parking exit in a single construction diagram of the same parking lot with the corresponding parking policy. Based on the matching results, determine the first entry condition for each parking entrance and the second exit condition for each parking exit in the same parking lot. Step 3: Based on the first entry condition and the second exit condition, construct a parking guidance strategy for the same parking lot; Step 4: Capture the first driving trajectory of vehicles surrounding each parking lot within the target area and the second driving trajectory of vehicles within the parking lot itself; Step 5: Based on the first driving trajectory and the second driving trajectory, construct the current traffic flow map of the same parking lot; Step 6: Based on the current traffic flow map and the corresponding parking guidance strategy, deploy the current planned parking scheme for the corresponding parking lot, and then obtain the range planned parking scheme for the target area; Step 7: Transmit the planned parking scheme within the target area to the user terminal that needs to use the parking space within the target area for display; Based on the first entry condition and the second exit condition, a parking guidance strategy for the same parking lot is constructed, including: Obtain all first entry conditions and all second exit conditions for the same parking lot; Establish a total restricted entry set for all first entry conditions and a total restricted exit set for all second exit conditions; The total restricted inbound set and the total restricted outbound set are mapped to obtain a mapping table; Extract the mapping arrays from the mapping table, and analyze the in-field vehicle routes corresponding to each mapping array and the route usage probability of the corresponding in-field vehicle routes; Based on the permitted route probability, configure the permitted entry probability for each parking entrance and the permitted exit probability for each parking exit; Based on the vehicle routes within the same parking lot and the probabilities of allowed entry and exit, a parking guidance strategy for the same parking lot is constructed.

2. The parking analysis method based on a big data platform as described in claim 1, characterized in that, Based on the matching results, the first entry condition for each parking entrance and the second exit condition for each parking exit in the same parking lot are determined, including: Based on the matching results, the first limiting factor for each parking entrance in the same parking lot is extracted, and the first entry condition is constructed. Simultaneously, based on the matching results, a second limiting factor is extracted for each parking exit in the same parking lot, and a second exit condition is constructed.

3. The parking analysis method based on a big data platform as described in claim 1, characterized in that, Based on the first and second driving trajectories, a current traffic flow map for the same parking lot is constructed, including: Based on all the first driving trajectories captured around the same parking lot, the first extraction of overlapping points is performed, and the second extraction of overlapping points is performed according to the coverage frequency of the driving trajectories, and an initial traffic flow map is obtained. Based on the second driving trajectory of vehicles in the same parking lot itself, construct the in-park trajectory map for the same unit time period, and obtain the trajectory coverage of the in-park trajectory map. Based on the coverage of all trajectories, a first analysis is performed on the usage of the same parking lot to obtain the current busy trajectory of the same parking lot, which is then appended to the initial traffic flow map to obtain the current traffic flow map.

4. The parking analysis method based on a big data platform as described in claim 1, characterized in that, Based on the current traffic flow map and the corresponding parking guidance strategy, the current planned parking scheme for the corresponding parking lot is deployed, thereby obtaining the range-based planned parking scheme for the target area, including: Based on the parking guidance strategy, busy parking spaces, vacant parking spaces, and continuously occupied parking spaces in the current traffic flow map are determined, and the parking space type of busy parking spaces, vacant parking spaces, and continuously occupied parking spaces are determined, thereby determining the current planned parking scheme for each vacant parking space and the current planned parking scheme for each busy parking space. Based on all currently planned parking schemes, a planned parking scheme for the target area is obtained.

5. The parking analysis method based on a big data platform as described in claim 1, characterized in that, Transmitting the planned parking scheme within the target area to the user terminal for display, including: Determine the sub-planning scheme for each parking lot in the range planning parking scheme, and display the planned driving routes of the sub-planning scheme in a single-plane layout; For each displayed single-plane layout, a multi-plane layout is constructed according to the location distribution of the corresponding parking lot within the corresponding target range; The multi-plane layout is transmitted to the user terminal that needs to use the parking space within the target area for display.

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