Intelligent park space management method and system

Abstract

The invention relates to the technical field of park management, in particular to an intelligent park space management method and system. The method comprises the following steps: acquiring parking information and non-motorized movement data of vehicles in a park; analyzing the parking information, and determining illegal parking vehicles; determining a space-time conflict area according to the non-motorized movement data and the illegal parking vehicle; obtaining a park road layout map, and performing dynamic parking division on the space-time conflict area according to the park road layout map to obtain a dynamic parking area; determining dynamic start-stop time according to the non-maneuvering mobile data; and controlling the opening and closing of the dynamic parking area according to the dynamic starting and stopping time. The system is beneficial to maintaining the traffic order in the park, preventing traffic jam and accidents, improving the utilization rate of parking spaces and the traffic efficiency of roads, flexibly adapting to traffic demands in different time periods, and reducing resource waste. By controlling the opening and closing of the dynamic parking area, more parking spaces are provided in peak periods, parking resources are released in low peak periods, and the space utilization efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of park management, in particular to an intelligent park space management method and system. BACKGROUND

[0002] In the field of intelligent park space management, with the roads in the park being mostly narrow and not finely planned, problems such as random parking of vehicles and detours of non-motorized mobile devices occur frequently, leading to chaotic traffic order in the park and affecting normal traffic and parking in the park.

[0003] In some intelligent parks, due to limited space, complex road layout and lack of effective planning, parking spaces and driving lanes often lack reasonable layout, resulting in narrow roads, insufficient parking spaces and driving difficulties. How to optimize the management of park space through intelligent means has become a key problem in current park management. SUMMARY

[0004] The present application provides an intelligent park space management method and system to solve the above problems.

[0005] In a first aspect, the present application provides an intelligent park space management method, which comprises: acquiring parking information of vehicles in the park and non-motorized mobile data; analyzing the parking information to determine vehicles parked in violation, and determining a time-space conflict area according to the non-motorized mobile data and the vehicles parked in violation; acquiring a park road layout map, and dynamically dividing the time-space conflict area according to the park road layout map to obtain a dynamic parking area; determining a dynamic start-stop time according to the non-motorized mobile data; controlling the opening and closing of the dynamic parking area according to the dynamic start-stop time.

[0006] Through this scheme, real-time monitoring can accurately grasp the parking and movement of vehicles and non-motorized vehicles in the park. Identifying vehicles parked in violation helps to maintain the traffic order in the park, and determining the time-space conflict area can prevent traffic congestion and accidents. The division of the dynamic parking area can be flexibly adjusted according to the actual traffic situation, improving the utilization rate of parking spaces and the traffic efficiency of roads. The determination of the dynamic start-stop time can make the use of the parking area more flexible, adapt to the traffic demand at different times, and reduce resource waste. By controlling the opening and closing of the dynamic parking area, more parking spaces can be provided during peak periods, and parking resources can be released during off-peak periods, improving the space utilization efficiency.

[0007] Optionally, the dynamic parking area is obtained by dividing the time-space conflict area according to the park road layout map, comprising: analyzing the park road layout map, determining the bend layout of the space-time conflict area; determining the bend radius according to the bend layout; calling preset vehicle information, analyzing the preset vehicle information, and determining the average visual field blind area; According to the bend radius and the average visual field blind area, the space-time conflict area is dynamically divided, and the dynamic parking area is obtained.

[0008] Through this scheme, by analyzing the road layout map, potential traffic bottlenecks and dangerous areas can be identified. Determining the bend radius helps to evaluate the turning safety of vehicles and avoid traffic congestion and accidents caused by too small bend. Analyzing vehicle information can determine the visual field blind area of different vehicle types at the bend, so as to avoid these areas when parking and improve driving safety. Combined with the bend radius and the visual field blind area, the parking area can be more reasonably divided, reducing the impact on driving safety and improving the availability of parking spaces. The division of dynamic parking area can flexibly adjust according to real-time traffic conditions, improve the utilization rate of parking spaces and the efficiency of road traffic, and reduce the risk of traffic congestion and accidents.

[0009] Optionally, according to the non-motorized movement data and the illegal parking vehicle, the space-time conflict area is determined, including: analyzing the parking information to determine the position coordinate set and parking time of the illegal parking vehicle; According to the position coordinate set and the parking time, a parking heat map is generated; Analyzing the non-motorized data, determining the bypass density according to the parking heat map and non-motorized analysis results; According to the bypass density, the space-time conflict area is determined.

[0010] Through this scheme, the specific position and time of the illegal parking vehicle can be accurately identified. Through the heat map, the distribution of illegal parking vehicles can be intuitively displayed, and the high-density area indicates the area where the parking problem is the most serious. Combined with non-motorized data, the traffic flow in the park can be more comprehensively analyzed, and the determination of bypass density helps to identify areas with frequent non-motorized vehicle flow. Through the bypass density, the space-time conflict area can be effectively identified, which is the source of traffic congestion or the high-risk area of traffic safety hazards.

[0011] Optionally, the bend radius is determined according to the bend layout, including: determining the bend layout radius according to the bend layout; analyzing the parking information to determine the vehicle turning radius; According to the bend layout radius and the vehicle turning radius, a bend buffer zone is determined, and the bend buffer zone is analyzed to determine the bend radius.

[0012] This scheme provides preliminary radius design for bends in the park, ensures the basic safety and functionality of the bends, and helps prevent rollover or collision accidents caused by excessive speed or insufficient turning radius of vehicles at bends. By analyzing vehicle parking information, the turning needs of different types of vehicles are identified to provide a basis for determining a reasonable bend radius to ensure safe turning of vehicles. Traffic congestion or accidents caused by improper turning radius are avoided. A buffer zone is set around the bend to provide additional safety space for vehicle operation at the bend, reducing traffic accidents caused by emergency avoidance or operational errors. It also helps to reduce potential threats to non-motor vehicles and pedestrians. By analyzing the buffer zone, the bend radius is adjusted to better meet actual traffic needs and safety standards, optimizing the driving experience of vehicles at bends.

[0013] Optionally, the control of the opening and closing of the dynamic parking area according to the dynamic start-stop time comprises: Identify the vehicle information of the current traveling vehicle; analyze the vehicle information to determine the expected destination; According to the non-motor mobile data, determine the target parking point; According to the target parking point and the expected destination, determine the parking intention; According to the dynamic start-stop time, determine the currently startable parking area; According to the parking intention, control the opening and closing of the currently startable parking area.

[0014] Through this scheme, real-time vehicle information in the park is obtained. The driving destination of the vehicle is predicted, which helps to plan parking resources in advance and reduce invalid driving and congestion of vehicles in the park. Combined with non-motor mobile data, the selection of parking points is optimized to ensure that non-motor vehicles also have suitable parking positions and reduce random parking. By combining vehicle destination and parking point information, the parking needs of vehicles are accurately determined to provide a basis for the management of dynamic parking areas. According to the dynamic start-stop schedule of the parking area, parking resources are reasonably allocated to improve the efficiency of the parking area. Real-time information about the use of the parking area, including the vacancy of parking spaces and the entry and exit of vehicles, is obtained to provide real-time data for dynamic adjustment. The parking needs of vehicles are matched with the real-time status of the parking area to ensure that vehicles can quickly find suitable parking spaces. The availability of the parking area is dynamically adjusted to optimize the use efficiency of the parking area and reduce traffic congestion.

[0015] Optionally, the determination of the parking intention according to the target parking point and the expected destination comprises: determine an interval distance according to the target parking point and the expected destination; determine an average moving distance according to the non-motorized moving data; determine a willingness attenuation coefficient according to the average moving distance; calculate the parking willingness according to the interval distance, the willingness attenuation coefficient, and the following formula: ; wherein, represents the parking willingness; represents the willingness attenuation coefficient; represents the interval distance.

[0016] By this scheme, by calculating the distance between the target parking point and the expected destination, a reference for the parking position of the vehicle can be provided, which helps the driver to make a parking decision. By analyzing the moving habits and needs of non-motorized vehicles, the layout of the parking area can be optimized, and the utilization rate of the parking spaces can be improved. By calculating the willingness attenuation coefficient, a quantitative index for the calculation of the parking willingness can be provided, which helps the park manager to more accurately identify the parking preferences of the driver. By calculating the parking willingness through the formula , the park manager can predict the preference degree of the vehicle driver for the parking space, so as to better plan and manage the parking resources.

[0017] Optionally, according to the bend radius and the average visual field blind area, the time-space conflict area is dynamically divided into a dynamic parking area, and the method further comprises the following steps: analyzing the park road layout to determine a straight lane of the time-space conflict area; obtaining and analyzing the environmental information of the straight lane within a preset distance range; and determining a one-way driving edge condition according to the environmental analysis result; according to the one-way driving edge condition, dynamically dividing the time-space conflict area into a best driving area; determining a bend driving area according to the bend radius and the average visual field blind area; determining the best driving area and the bend driving area as the driving area of the time-space conflict area.

[0018] By this scheme, by analyzing the park road layout, the time-space conflict area and the straight driving lane can be identified. Collecting the environmental information around the straight driving lane helps to analyze the actual situation when the vehicle is driving. By analyzing the environmental information, the edge condition of the vehicle during driving can be determined, such as whether there is an obstacle, whether the field of view is limited, etc., which helps to ensure driving safety. Based on the one-way driving edge condition, the time-space conflict area is divided, and the best driving area can be obtained, which helps to improve the driving efficiency and safety of the vehicle. Considering the radius of the curve and the average visual blind area, the curve driving area is determined, which can reduce the safety hidden danger of the vehicle at the curve and improve the driving stability. By combining the best driving area and the curve driving area, the driving area of the time-space conflict area is determined, which provides clear boundaries and basis for dynamic parking division.

[0019] Optionally, the method further comprises: determining the meteorological condition of the dynamic start-stop time according to the environmental analysis result; According to the meteorological condition, the historical non-motor moving data is retrieved; according to the historical non-motor moving data, the non-motor moving change of the dynamic start-stop time is determined; determining the enabling range of the dynamic parking area according to the non-motor moving change; controlling the switch of the dynamic parking area according to the enabling range.

[0020] By this scheme, by analyzing the environmental data, the meteorological condition affecting the dynamic start-stop time can be identified, such as the increase of parking demand caused by rain. According to the meteorological condition, the historical non-motor moving data can be retrieved. By analyzing the historical data, the non-motor moving change in the current dynamic start-stop time can be predicted, so as to better plan the parking resources. According to the predicted non-motor moving change, it can be determined which parking area needs to be enabled or closed to meet the current parking demand, so as to optimize the allocation of parking resources. Through the intelligent parking management system, the switch of the dynamic parking area can be controlled in real time, such as automatically opening or closing the entrance and exit of the parking area to adapt to the changing parking demand.

[0021] Optionally, the method further comprises: based on the radius of the curve, analyzing the preset vehicle information to determine the lateral acceleration of different vehicle types driving under the radius of the curve; analyzing the meteorological condition to determine the road safety threshold under different meteorological conditions; comparing the lateral acceleration with the road safety threshold under the corresponding meteorological condition, if the lateral acceleration is greater than the road safety threshold under the corresponding meteorological condition, the dynamic parking area is closed.

[0022] By the scheme, the dynamic characteristics of different vehicle models when driving on a curve can be provided. It helps to identify the stability and maneuverability of the vehicle when driving on a curve, and provides protection for vehicle and pedestrian safety. Analyzing the safety threshold of the road under different weather conditions helps to develop a reasonable parking area management strategy to ensure the safety of vehicles driving in bad weather. By comparison, the safety of the current vehicle when driving on a curve can be determined to provide real-time basis for dynamic adjustment of the parking area and avoid decision-making errors caused by subjective judgment. According to the real-time data and the preset standard, the parking area is automatically adjusted to improve the management efficiency and response speed and reduce the error caused by human intervention. Prevent traffic accidents caused by excessive lateral acceleration when driving on a curve to improve the traffic safety level of the park.

[0023] In a second aspect, the application provides an intelligent park space management system, which comprises: An information acquisition module for acquiring parking information and non-motorized movement data of vehicles in the park; An information analysis module for analyzing the parking information to determine illegal parking vehicles, and determining a time-space conflict area according to the non-motorized movement data and the illegal parking vehicles; A region division module for acquiring a park road layout map, dynamically dividing the time-space conflict area according to the park road layout map, and obtaining a dynamic parking area; A time determination module for determining a dynamic start-stop time according to the non-motorized movement data; A switch control module for controlling the opening and closing of the dynamic parking area according to the dynamic start-stop time.

[0024] Optionally, when the region division module dynamically divides the time-space conflict area according to the park road layout map to obtain a dynamic parking area, it is used for: Analyzing the park road layout map to determine the curve layout of the time-space conflict area; Determining the curve radius according to the curve layout; Retrieving preset vehicle information, analyzing the preset vehicle information, and determining the average visual blind area; According to the curve radius and the average visual blind area, the time-space conflict area is dynamically divided to obtain a dynamic parking area.

[0025] Optionally, when the information analysis module determines the time-space conflict area according to the non-motorized movement data and the illegal parking vehicles, it is used for: Analyzing the parking information to determine the position coordinate set and parking time of the illegal parking vehicles; Generating a parking heat map according to the position coordinate set and the parking time; analyzing the non-motorized data, determining the bypass density according to the parking heat map and the non-motorized analysis result; determining the space-time conflict area according to the bypass density.

[0026] Optionally, when the region division module determines the bend radius according to the bend layout, it is used for: determining the bend layout radius according to the bend layout; analyzing the parking information to determine the vehicle turning radius; determining the bend buffer zone according to the bend layout radius and the vehicle turning radius, and analyzing the bend buffer zone to determine the bend radius.

[0027] Optionally, when the switch control module controls the switch of the dynamic parking area according to the dynamic start-stop time, it is used for: identifying the vehicle information of the current traveling vehicle; analyzing the vehicle information to determine the expected destination; determining the target parking point according to the non-motorized moving data; determining the parking willingness according to the target parking point and the expected destination; determining the currently startable parking area according to the dynamic start-stop time; controlling the switch of the currently startable parking area according to the parking willingness.

[0028] Optionally, when the switch control module determines the parking willingness according to the target parking point and the expected destination, it is used for: determining the interval distance according to the target parking point and the expected destination; determining the average moving distance according to the non-motorized moving data; determining the willingness attenuation coefficient according to the average moving distance; calculating the parking willingness according to the interval distance and the willingness attenuation coefficient by using the following formula: ; wherein, represents the parking willingness; represents the willingness attenuation coefficient; represents the interval distance.

[0029] Optionally, the intelligent park space management system further comprises a region determination module, which is used for: analyzing the park road layout map to determine the straight lane of the space-time conflict area; obtaining and analyzing the environmental information of the straight lane within a preset distance range; determining the one-way driving edge condition according to the environmental analysis result; According to the one-way driving edge case, the time-space conflict area is dynamically divided into a driving area, and an optimal driving area is obtained; According to the curve radius and the average visual field blind area, a curve driving area is determined; The optimal driving area and the curve driving area are determined as the driving area of the time-space conflict area.

[0030] Optionally, the switch control module controls the opening and closing of the dynamic parking area according to the dynamic start-stop time, for: According to the environmental analysis result, the meteorological condition of the dynamic start-stop time is determined; According to the meteorological condition, historical non-motorized movement data is retrieved; and according to the historical non-motorized movement data, non-motorized movement changes of the dynamic start-stop time are determined; According to the non-motorized movement changes, the activation range of the dynamic parking area is determined; According to the activation range, the opening and closing of the dynamic parking area is controlled.

[0031] Optionally, the intelligent park space management system further comprises a region closing module, configured to: Based on the curve radius, the preset vehicle information is analyzed to determine the lateral acceleration of different vehicle types driving under the curve radius; The meteorological condition is analyzed to determine the road safety threshold under different meteorological conditions; The lateral acceleration is compared with the road safety threshold under the corresponding meteorological condition, and if the lateral acceleration is greater than the road safety threshold under the corresponding meteorological condition, the dynamic parking area is closed. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0033] Figure 1 An application scenario schematic diagram provided by an embodiment of the present application; Figure 2 A flowchart of an intelligent park space management method provided by an embodiment of the present application; Figure 3 A structure schematic diagram of an intelligent park space management system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purposes, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0035] In addition, the term "and / or" in the present application only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in the present application generally represents an "or" relationship between the front and rear associated objects unless otherwise specified.

[0036] The embodiments of the present application will be described in further detail below with reference to the drawings of the specification.

[0037] In some intelligent parks, due to limited space, complex road layout, and lack of effective planning, parking spaces and driving lanes often lack reasonable layout, causing narrow roads, insufficient parking spaces, and driving difficulties. How to optimize the management of park space through intelligent means has become a key problem in current park management.

[0038] Based on this, the present application provides an intelligent park space management method and system, acquires parking information and non-motorized moving data of vehicles in the park; analyzes the parking information to determine the illegally parked vehicles; and determines the space-time conflict area according to the non-motorized moving data and the illegally parked vehicles; acquires the road layout map of the park, and dynamically divides the space-time conflict area according to the road layout map of the park to obtain a dynamic parking area; determines the dynamic start-stop time according to the non-motorized moving data; and controls the opening and closing of the dynamic parking area according to the dynamic start-stop time. Through real-time monitoring, the parking and moving conditions of vehicles and non-motorized vehicles in the park can be accurately mastered. Identifying illegally parked vehicles helps to maintain the traffic order in the park, and determining the space-time conflict area can prevent traffic congestion and accidents. The division of the dynamic parking area can be flexibly adjusted according to the actual traffic conditions, improving the utilization rate of parking spaces and the traffic efficiency of roads. The determination of the dynamic start-stop time can make the use of the parking area more flexible, adapt to the traffic demand of different periods, and reduce resource waste. By controlling the opening and closing of the dynamic parking area, more parking spaces can be provided during peak periods, and parking resources can be released during off-peak periods, improving the space utilization efficiency.

[0039] Figure 1 An application scenario provided by the present application is shown in the following figure. When managing a park, the method provided by the present application is applied.

[0040] Specifically, the method provided by the application is applied to any server, the server interacts with a monitoring device, through real-time monitoring of the monitoring device, parking information and non-motor mobile data of vehicles in the park are obtained, a vehicle parked in violation is identified, which helps to maintain the traffic order in the park, and a time-space conflict area is determined, which can prevent traffic congestion and accidents. The division of the dynamic parking area can be flexibly adjusted according to the actual traffic situation, improving the utilization rate of parking spaces and the traffic efficiency of the road. The determination of the dynamic start-stop time can make the use of the parking area more flexible, adapt to the traffic demand of different periods, and reduce resource waste. By controlling the opening and closing of the dynamic parking area, more parking spaces can be provided during peak periods, and parking resources can be released during low peak periods, improving the space utilization efficiency. The specific implementation mode can refer to the following embodiments.

[0041] Figure 2 The flowchart of the intelligent park space management method provided by an embodiment of the application, the method of the embodiment can be applied to the server in the above scenarios. As shown in the figure, Figure 2 The method comprises the following steps: S201, obtaining parking information and non-motor mobile data of vehicles in the park; The parking information can be the data record of the position, time and related state of the vehicle parked in the park.

[0042] The non-motor mobile data can be the movement of non-motor vehicles, people or animals, that is, the movement data of all movable objects except motor vehicles.

[0043] Specifically, the monitoring device is used to automatically record the parking information such as parking time and position of the vehicle. The flow, use frequency and parking position of the non-motor mobile device (bicycle, electric vehicle, etc.) are collected.

[0044] S202, analyzing the parking information to determine the vehicle parked in violation, and determining the time-space conflict area according to the non-motor mobile data and the vehicle parked in violation; The vehicle parked in violation can be a vehicle parked in a specified area or in a specified manner without following the regulations.

[0045] The time-space conflict area can be an area in which traffic congestion or potential conflict is caused by the behavior of vehicles and non-motor vehicles in a certain time period and space range.

[0046] Specifically, the collected vehicle parking information is analyzed to identify the vehicle parked in violation and determine its position coordinate set and parking time. In combination with the non-motor mobile data, the dynamic distribution of vehicles and non-motor devices is analyzed to determine the time-space conflict area.

[0047] S203, obtaining a park road layout map, dynamically dividing the time-space conflict area according to the park road layout map, and obtaining a dynamic parking area; The park road layout map can be a detailed layout map of all roads in the park, including road direction, lane number, turning radius, intersection position, etc.

[0048] The dynamic parking area can be a parking space area dynamically divided according to real-time traffic data and demand.

[0049] Specifically, the road layout map containing the road direction, turning radius, lane width, etc. of the park is obtained from the park planning department. According to the road layout map and the real-time collected vehicle parking information, the time-space conflict area is identified. The time-space conflict area is analyzed to determine which areas have conflicts between parking and driving. According to the analysis result, the dynamic parking area is divided in the time-space conflict area to determine which areas need to be set as parking areas and which areas need to be kept as driving lanes. Thus, the dynamic parking area is obtained.

[0050] S204, determining the dynamic start-stop time according to the non-motor mobile data; The dynamic start-stop time can be the time when the parking area is started and closed dynamically according to the traffic flow, parking space usage, etc.

[0051] Specifically, the non-motor mobile data is analyzed to determine the peak period and the low peak period, as well as the parking area of the non-motor mobile device. According to the non-motor mobile data, the dynamic start-stop time is determined, i.e. when to start or close the dynamic parking area.

[0052] S205, controlling the opening and closing of the dynamic parking area according to the dynamic start-stop time.

[0053] Specifically, in the intelligent parking management, the automatic opening and closing logic of the parking area is set according to the dynamic start-stop time. Through intelligent parking management, the opening and closing state of the dynamic parking area is automatically controlled according to the programmed logic.

[0054] Through this scheme, through real-time monitoring, the parking and moving conditions of vehicles and non-motor vehicles in the park can be accurately mastered. Identifying the illegal parking vehicles helps to maintain the traffic order in the park, and determining the time-space conflict area can prevent traffic congestion and accidents. The division of the dynamic parking area can be flexibly adjusted according to the actual traffic conditions, improving the utilization rate of parking spaces and the traffic efficiency of roads. The determination of the dynamic start-stop time can make the use of the parking area more flexible, adapt to the traffic demand at different times, and reduce resource waste. By controlling the opening and closing of the dynamic parking area, more parking spaces can be provided during the peak period, and parking resources can be released during the low peak period, improving the space utilization efficiency.

[0055] In some embodiments, the garden road layout is analyzed to determine the layout of the bend in the space-time conflict area; according to the layout of the bend, the radius of the bend is determined; the preset vehicle information is called, the preset vehicle information is analyzed, and the average visual blind area is determined; according to the bend radius and the average visual blind area, the space-time conflict area is dynamically divided into parking areas to obtain the dynamic parking area.

[0056] The layout of the bend can be the number, position, curvature size, etc. of the bend in the road in the garden. The turning radius and the visual blind area are considered where the turning occurs, and not only the length and width of the vehicle body are considered, but also the extreme feeling of the driver sitting in the car (as if feeling about to crash, but actually far away), to make the turning more comfortable.

[0057] The bend radius can be the curvature radius of the bend, that is, the distance from the center point of the bend to any point on the bend.

[0058] The preset vehicle information can be the predetermined vehicle type, size, turning radius, etc. in the garden, including the vehicle type information and the driving data of the corresponding vehicle type in the garden, which is pre-stored in the server and called when used.

[0059] The average visual blind area can be an area on the bend where the driver's vision is limited due to the structure and design of the vehicle.

[0060] Specifically, the road layout of the garden is collected, including the road layout, the number of lanes, the radius of the bend, the position of the intersection, etc. The position of the illegally parked vehicle in the space-time conflict area and the moving track of the non-motor vehicle are collected. Analyze the garden road layout to identify the layout of the bend in the space-time conflict area. According to the layout of the bend, the radius of each bend is measured and determined. The preset vehicle type, size, turning radius, etc. are called. According to the preset vehicle information and the bend radius, the size of the average visual blind area is calculated. Combined with the bend radius and the average visual blind area, the space-time conflict area is dynamically divided into parking areas to determine which areas can be set as parking spaces and which areas need to be reserved as driving areas. Thus, the dynamic parking area is obtained.

[0061] Through the scheme, by analyzing the road layout, potential traffic bottlenecks and dangerous areas can be identified. Determining the bend radius helps to evaluate the turning safety of vehicles and avoid traffic congestion and accidents caused by too small bends. Analyzing vehicle information can determine the visual blind area of different vehicle types at the bend, so as to avoid these areas when dividing parking areas and improve driving safety. Combined with the bend radius and the visual blind area, the parking area can be more reasonably divided to reduce the impact on driving safety and improve the availability of parking spaces. The dynamic division of the parking area can be flexibly adjusted according to the real-time traffic situation to improve the utilization rate of the parking space and the traffic efficiency of the road, and reduce the risk of traffic congestion and accidents.

[0062] In some embodiments, the parking information is analyzed to determine a position coordinate set and a parking time of the illegally parked vehicle; a parking heat map is generated according to the position coordinate set and the parking time; the non-motorized data is analyzed to determine a bypass density according to the parking heat map and the non-motorized analysis result; and a time-space conflict area is determined according to the bypass density.

[0063] The position coordinate set can be a set of X and Y coordinates describing the illegally parked vehicle on the campus plan.

[0064] The parking time can be the start and end time of the position parking of the illegally parked vehicle.

[0065] The parking heat map can be a data visualization tool that represents the parking density of the illegally parked vehicle at different positions in the campus by color depth.

[0066] The non-motorized data can be movement data of non-motorized vehicles in the campus, such as movement trajectory, speed, and movement time.

[0067] The non-motorized analysis result can be the processing and analysis result of information such as traffic statistics, peak use period, commonly used path, and potential conflict point of non-motorized vehicles.

[0068] The bypass density can be the bypass travel density of non-motorized vehicles to motor vehicles.

[0069] Specifically, the parking information is analyzed to determine the position coordinate set and the parking time of the illegally parked vehicle. The movement data of non-motorized vehicles, such as travel trajectory, speed, and traffic, is integrated. According to the position coordinate set and the parking time of the illegally parked vehicle, a parking heat map is generated to visualize the distribution density of the illegally parked vehicle. The type, movement trajectory, speed, and other non-motorized movement data of non-motorized vehicles are analyzed. The bypass density, i.e. the flow frequency of non-motorized vehicles in a specific area, is calculated by combining the parking heat map and the non-motorized data analysis result. According to the bypass density, the time-space conflict area is identified.

[0070] Through the scheme, the specific position and time of the illegally parked vehicle can be accurately identified. The distribution of the illegally parked vehicle can be intuitively displayed through the heat map, and the high-density area indicates the area where the parking problem is the most serious. Combined with the non-motorized data, the traffic flow in the campus can be more comprehensively analyzed, and the determination of the bypass density helps to identify the area where non-motorized vehicles flow frequently, which has potential traffic conflicts. The time-space conflict area can be effectively identified through the bypass density, which is the source of traffic congestion or a high-risk area of traffic safety hazards.

[0071] In some embodiments, the layout of the curve is determined to determine the curve layout radius; the parking information is analyzed to determine the vehicle turning radius; the curve buffer area is determined according to the curve layout radius and the vehicle turning radius, and the curve buffer area is analyzed to determine the curve radius.

[0072] The bend layout radius can be the minimum radius value set for the bend when designing the park road.

[0073] The vehicle turning radius can be the minimum radius required by the vehicle when turning.

[0074] The bend buffer zone can be a certain range of area set near the bend to provide additional safety space.

[0075] Specifically, the layout of the bend is analyzed to identify the specific location and shape of each bend. According to the shape of the bend and design standards, the layout radius of each bend is determined. The parking information of vehicles in the park is collected and analyzed. According to the vehicle type and design standards, the turning radius of different vehicles at the bend is determined. Combining the bend layout radius and the vehicle turning radius, the range of the bend buffer zone is calculated to ensure that the vehicle has enough safety space when turning. The bend buffer zone is analyzed in detail, considering factors such as traffic flow, vehicle type and driving speed. According to the analysis results of the bend buffer zone, the final bend radius is determined.

[0076] Through this scheme, the preliminary radius design for the bends in the park is provided to ensure the basic safety and functionality of the bends, which helps to prevent rollover or collision accidents caused by excessive speed or insufficient turning radius of vehicles at the bends. By analyzing the vehicle parking information, the turning requirements of different types of vehicles are identified to provide a basis for determining a reasonable bend radius to ensure that vehicles can safely turn. Traffic congestion or accidents caused by improper turning radius are avoided. A buffer zone is set around the bend to provide additional safety space for vehicle operation at the bend, reducing traffic accidents caused by emergency avoidance or operational errors. At the same time, it also helps to reduce the potential threat to non-motor vehicles and pedestrians. Through the analysis of the buffer zone, the bend radius is adjusted to make it more in line with actual traffic demand and safety standards, optimizing the driving experience of vehicles at the bend.

[0077] In some embodiments, vehicle information of a currently traveling vehicle is identified; the vehicle information is analyzed to determine a desired destination; a target parking point is determined according to non-motor movement data; a parking willingness is determined according to the target parking point and the desired destination; a currently startable parking area is determined according to a dynamic start-stop time; and the currently startable parking area is controlled to be turned on or off according to the parking willingness.

[0078] The currently traveling vehicle can be a vehicle that is currently driving in the park.

[0079] The vehicle information can be various data such as license plate number, vehicle type, vehicle size, vehicle color, and vehicle driving trajectory of the currently traveling vehicle.

[0080] The expected destination can be a place where the vehicle driver can eventually go, which can be obtained by analyzing historical monitoring data, i.e., where the driver generally goes at a historical moment.

[0081] The target parking point can be a place where the vehicle driver has the highest probability to park at present.

[0082] The parking willingness can be a preference or demand of the vehicle driver for a parking position.

[0083] The currently startable parking area can be a parking area available for the vehicle to park in a current time period.

[0084] Specifically, the vehicle information in the park is automatically identified by using license plate recognition, sensors, etc. The expected destination of the vehicle is predicted by analyzing the vehicle information combined with the driving trajectory of the vehicle. The target parking point is determined by using non-motor mobile data. The parking willingness of the vehicle is determined by comprehensively considering the availability of the expected destination of the vehicle and the target parking point. According to the dynamic start-stop schedule of the parking area, it is determined which dynamic parking area is available in the current time period to obtain the currently startable parking area. The most suitable parking area is determined according to the parking willingness of the vehicle. Therefore, the opening and closing of the dynamic parking area is controlled through intelligent parking management.

[0085] Through the scheme, the vehicle information in the park is obtained in real time. The driving destination of the vehicle is predicted, which helps to plan the parking resources in advance and reduce the invalid driving and congestion of the vehicle in the park. Combined with non-motor mobile data, the selection of the parking point is optimized to ensure that the non-motor vehicle also has a suitable parking position and reduce the phenomenon of random parking. The parking demand of the vehicle is accurately judged by comprehensively considering the vehicle destination and the parking point information, which provides a basis for the management of the dynamic parking area. According to the dynamic start-stop schedule of the parking area, the parking resources are reasonably allocated to improve the use efficiency of the parking area. The use of the parking area is mastered in real time, including the idle condition of the parking space and the vehicle in-out condition, which provides real-time data for dynamic adjustment. The parking demand of the vehicle is matched with the real-time state of the parking area to ensure that the vehicle can quickly find a suitable parking space. The availability of the parking area is dynamically adjusted to optimize the use efficiency of the parking area and reduce traffic congestion.

[0086] In some embodiments, according to the target parking point and the expected destination, an interval distance is determined; according to the non-motor mobile data, an average moving distance is determined; according to the average moving distance, a willingness attenuation coefficient is determined; according to the interval distance and the willingness attenuation coefficient, the parking willingness is calculated by using the following formula (1): (1) wherein, represents the parking willingness; represents the willingness attenuation coefficient; represents the interval distance.

[0087] The interval distance can be the distance between the target parking point of the vehicle and the desired destination, which can be a straight-line distance or an actual driving distance.

[0088] The average moving distance can be the average distance of the non-motor vehicle moving in the park.

[0089] The willingness attenuation coefficient can be a coefficient for measuring the weakening of the parking willingness with the increase of the distance.

[0090] Specifically, the moving data of the non-motor vehicle, such as traffic flow, speed and path, are collected by sensors, cameras and other devices. According to the non-motor moving data, the target parking point of the vehicle is determined. The vehicle information is analyzed to determine the desired destination of the vehicle. The driving distance between the target parking point and the desired destination is calculated using map services or positioning technology. The average moving distance of the non-motor vehicle in the park is calculated by analyzing the non-motor moving data. According to the average moving distance and related factors such as traffic congestion and parking supply and demand relationship, the willingness attenuation coefficient is determined by mathematical analysis . The interval distance and the willingness attenuation coefficient are substituted into the formula to calculate the parking willingness .

[0091] Through the scheme, the distance between the target parking point and the desired destination is calculated to provide a reference for the parking position of the vehicle, which helps the driver to make a parking decision. The moving habits and needs of the non-motor vehicle are analyzed to help optimize the layout of the parking area and improve the utilization rate of the parking space. By calculating the willingness attenuation coefficient, a quantitative index for calculating the parking willingness is provided, which helps the park manager to more accurately identify the parking preferences of the driver. The parking willingness is calculated by the formula , which helps the park manager to predict the preference degree of the vehicle driver for the parking space, so as to better plan and manage the parking resources.

[0092] In some embodiments, the park road layout is analyzed to determine the straight driving lane of the time-space conflict area; the environmental information of the straight driving lane within a preset distance range is obtained and analyzed; the one-way driving edge condition is determined according to the environmental analysis result; the dynamic driving area of the time-space conflict area is divided according to the one-way driving edge condition to obtain the best driving area; the curve driving area is determined according to the curve radius and the average visual blind area; and the best driving area and the curve driving area are determined as the driving area of the time-space conflict area.

[0093] The straight driving lane can be a relatively straight and non-curved driving road in the park road.

[0094] The preset distance range can be a distance range preset when collecting and analyzing the environment information, which can affect driving. The preset distance range is stored in the server in advance and called when used.

[0095] The environment information can be various data and information related to traffic signs, traffic lights, road conditions, surrounding buildings, green belts, and traffic flow on a straight driving lane.

[0096] The environment analysis result can be a result obtained by analyzing the collected environment information.

[0097] The one-way driving edge condition can be a condition of a road edge when a vehicle drives on a straight driving lane, such as whether there is an obstacle, whether there is sufficient visibility, and a shape of the road edge.

[0098] The optimal driving area can be an optimal path or area planned for a vehicle to drive in a time-space conflict area according to the environment analysis result and the one-way driving edge condition.

[0099] The curved driving area can be a curved portion in the time-space conflict area, and the curved driving area is determined according to a radius of the curved portion and an average visibility blind area.

[0100] The driving area can be an area divided for a vehicle to drive and park in the time-space conflict area.

[0101] Specifically, a GIS or a professional road design software is used to analyze a road layout map of a park to determine positions of a time-space conflict area and a straight driving lane. A reasonable preset distance range is set according to characteristics of the road of the park and traffic management requirements. Sensors, cameras, and other devices installed on the road and the surrounding area collect environment information of the straight driving lane within the preset distance range. The collected environment information, such as traffic signs, road conditions, surrounding buildings, and traffic flow, is analyzed. According to the environment analysis result, one-way driving edge conditions, such as obstacles and visibility limitations, when a vehicle drives on the straight driving lane are determined. According to the one-way driving edge conditions, a dynamic driving area of the time-space conflict area is divided to determine an optimal driving area. A radius of a curved portion in the park is determined through field measurement or design drawings. An average visibility blind area when a vehicle drives on the curved portion is determined through simulation or actual measurement. The curved driving area is determined according to the radius of the curved portion and the average visibility blind area. The driving area of the time-space conflict area is determined by combining the optimal driving area and the curved driving area.

[0102] By this scheme, by analyzing the park road layout, the time-space conflict area and the straight driving lane can be identified. Collecting the environmental information around the straight driving lane helps to analyze the actual situation when the vehicle is driving. By analyzing the environmental information, the edge condition of the vehicle during driving can be determined, such as whether there are obstacles, whether the field of view is limited, etc., which helps to ensure driving safety. Based on the one-way driving edge condition, the time-space conflict area is divided, and the best driving area can be obtained, which helps to improve the driving efficiency and safety of the vehicle. Considering the radius of the curve and the average visual blind area, the curve driving area is determined, which can reduce the safety hidden danger of the vehicle at the curve and improve the driving stability. By combining the best driving area and the curve driving area, the driving area of the time-space conflict area is determined, which provides clear boundaries and basis for dynamic parking division.

[0103] In some embodiments, according to the environmental analysis result, the meteorological condition of the dynamic start-stop time is determined; according to the meteorological condition, the historical non-motor mobile data is retrieved; according to the historical non-motor mobile data, the non-motor mobile change of the dynamic start-stop time is determined; according to the non-motor mobile change, the enabling range of the dynamic parking area is determined; and according to the enabling range, the opening and closing of the dynamic parking area is controlled.

[0104] The meteorological condition can be a weather factor such as temperature, humidity, wind speed, rainfall, etc. that affects the dynamic start-stop time.

[0105] The historical non-motor mobile data can be the movement record of non-motor mobile equipment in the park within a certain period of time in the past.

[0106] The non-motor mobile change can be the change trend of non-motor mobile equipment activity predicted according to the historical non-motor mobile data and real-time meteorological conditions.

[0107] The enabling range can be the specific area of the parking area determined according to the non-motor mobile change and the dynamic start-stop time.

[0108] Specifically, using a meteorological sensor, real-time meteorological data such as temperature, humidity, wind speed, rainfall, etc. is collected. The collected meteorological data is processed and analyzed to determine the meteorological condition affecting the dynamic start-stop time. According to the determined meteorological condition, the historical non-motor mobile data under the corresponding meteorological condition is identified and retrieved from the database. The historical non-motor mobile data is statistically analyzed to identify the rules and trends of non-motor mobile under the meteorological condition. Based on the analysis result of the historical data, combined with the current meteorological condition, the non-motor mobile change within the dynamic start-stop time is predicted. According to the predicted non-motor mobile change, it is determined which parking areas need to be enabled or closed. According to the dynamic start-stop time, the opening and closing time of the parking area is determined, and the entrance and exit switches of the parking area are automatically controlled.

[0109] By this solution, by analyzing environmental data, meteorological conditions that affect dynamic start-stop time can be identified, such as rainy days leading to increased parking demand. According to meteorological conditions, historical non-motorized movement data can be retrieved. By analyzing historical data, non-motorized movement changes within the current dynamic start-stop time can be predicted, so that parking resources can be better planned. According to the predicted non-motorized movement changes, it can be determined which parking areas need to be enabled or closed to meet the current parking demand, so that the allocation of parking resources can be optimized. Through the intelligent parking management system, the opening and closing of dynamic parking areas can be controlled in real time, such as automatically opening or closing the entrances and exits of parking areas to adapt to changing parking demand.

[0110] In some embodiments, based on the bend radius, the preset vehicle information is analyzed to determine the lateral acceleration of different vehicle types driving at the bend radius; the meteorological conditions are analyzed to determine the road safety threshold under different meteorological conditions; the lateral acceleration is compared with the road safety threshold under the corresponding meteorological conditions, and if the lateral acceleration is greater than the road safety threshold under the corresponding meteorological conditions, the dynamic parking area is closed.

[0111] The lateral acceleration can be the acceleration of the vehicle in the horizontal direction, describing the size of the centrifugal force experienced by the vehicle when turning.

[0112] The road safety threshold can be the maximum lateral acceleration or speed that the road can withstand under certain meteorological conditions to ensure the safety of vehicles and pedestrians.

[0113] Specifically, by vehicle recognition, sensors or manual input, the vehicle size, weight, speed and other information of different vehicle types in the park are collected. The radius value of the bend is obtained from the park road layout map. According to the vehicle information and the bend radius, the lateral acceleration of different vehicle types driving at the bend radius is calculated. Real-time temperature, humidity, wind speed, rainfall and other meteorological data are obtained using meteorological sensors. According to the meteorological data and road conditions, the road safety threshold under different meteorological conditions is determined, i.e. the maximum safe lateral acceleration of the vehicle driving under a specific meteorological condition. The calculated lateral acceleration is compared with the road safety threshold under the corresponding meteorological conditions to evaluate whether the safety limit is exceeded. If the lateral acceleration is greater than the road safety threshold under the corresponding meteorological conditions, the dynamic parking area is closed through intelligent parking management.

[0114] By the scheme, the dynamic characteristics of different vehicle models when driving on a curve can be provided. It helps to identify the stability and maneuverability of the vehicle when driving on a curve, and provides protection for vehicle and pedestrian safety. Analyzing the safety threshold of the road under different weather conditions helps to develop a reasonable parking area management strategy to ensure the safety of vehicles driving in bad weather. By comparison, the safety of the current vehicle when driving on a curve can be determined to provide real-time basis for dynamic adjustment of the parking area and avoid decision-making errors caused by subjective judgment. According to the real-time data and the preset standard, the parking area is automatically adjusted to improve the management efficiency and response speed and reduce the error caused by human intervention. Prevent traffic accidents caused by excessive lateral acceleration when driving on a curve to improve the traffic safety level of the park.

[0115] Figure 3 The structural diagram of an intelligent park space management system provided by an embodiment of the present application is shown in Figure 3 The intelligent park space management system 300 of the embodiment includes an information acquisition module 301, an information analysis module 302, a region division module 303, a time determination module 304, and a switch control module 305.

[0116] The information acquisition module 301 is configured to acquire parking information and non-motor moving data of vehicles in the park. The information analysis module 302 is configured to analyze the parking information to determine a vehicle that is illegally parked, and determine a time-space conflict area according to the non-motor moving data and the vehicle that is illegally parked. The region division module 303 is configured to acquire a park road layout map, and perform dynamic parking division on the time-space conflict area according to the park road layout map to obtain a dynamic parking area. The time determination module 304 is configured to determine a dynamic start-stop time according to the non-motor moving data. The switch control module 305 is configured to control the opening and closing of the dynamic parking area according to the dynamic start-stop time.

[0117] Optionally, when the region division module 303 performs dynamic parking division on the time-space conflict area according to the park road layout map to obtain a dynamic parking area, the region division module 303 is configured to: analyze the park road layout map to determine a curve layout of the time-space conflict area; determine a curve radius according to the curve layout; retrieve preset vehicle information, analyze the preset vehicle information, and determine an average visual blind area; perform dynamic parking division on the time-space conflict area according to the curve radius and the average visual blind area to obtain a dynamic parking area.

[0118] Optionally, when the information analysis module 302 determines the space-time conflict area according to the non-motorized moving data and the illegal parking vehicle, it is used for: analyzing the parking information to determine the position coordinate set and parking time of the illegal parking vehicle; generating a parking heat map according to the position coordinate set and the parking time; analyzing the non-motorized data, determining the bypass density according to the parking heat map and the non-motorized analysis result; determining the space-time conflict area according to the bypass density.

[0119] Optionally, when the area division module 303 determines the bend radius according to the bend layout, it is used for: determining the bend layout radius according to the bend layout; analyzing the parking information to determine the vehicle turning radius; determining the bend buffer zone according to the bend layout radius and the vehicle turning radius, and analyzing the bend buffer zone to determine the bend radius.

[0120] Optionally, when the switch control module 305 controls the switch of the dynamic parking area according to the dynamic start-stop time, it is used for: identifying the vehicle information of the current traveling vehicle; analyzing the vehicle information to determine the expected destination; determining the target parking point according to the non-motorized moving data; determining the parking willingness according to the target parking point and the expected destination; determining the current startable parking area according to the dynamic start-stop time; controlling the switch of the current startable parking area according to the parking willingness.

[0121] Optionally, when the switch control module 305 determines the parking willingness according to the target parking point and the expected destination, it is used for: determining the interval distance according to the target parking point and the expected destination; determining the average moving distance according to the non-motorized moving data; determining the willingness attenuation coefficient according to the average moving distance; calculating the parking willingness according to the interval distance, the willingness attenuation coefficient, and the following formula: ; wherein, represents the parking willingness; represents the willingness attenuation coefficient; represents the interval distance.

[0122] Optionally, the intelligent park space management system further comprises a region determination module 306, configured to: analyze the park road layout to determine a straight lane of the space-time conflict region; acquire and analyze environmental information of the straight lane within a preset distance range; and determine a one-way driving edge condition according to the environmental analysis result; perform dynamic driving region division on the space-time conflict region according to the one-way driving edge condition to obtain an optimal driving area; determine a curve driving area according to the curve radius and the average visual field blind area; determine the optimal driving area and the curve driving area as the driving area of the space-time conflict region.

[0123] Optionally, the switch control module 305 controls the opening and closing of the dynamic parking area according to the dynamic start-stop time, and is configured to: determine a meteorological condition of the dynamic start-stop time according to the environmental analysis result; retrieve historical non-motorized movement data according to the meteorological condition; and determine a non-motorized movement change of the dynamic start-stop time according to the historical non-motorized movement data; determine an activation range of the dynamic parking area according to the non-motorized movement change; control the opening and closing of the dynamic parking area according to the activation range.

[0124] Optionally, the intelligent park space management system further comprises a region closing module 307, configured to: analyze the preset vehicle information based on the curve radius to determine a lateral acceleration of different vehicle types under the curve radius; analyze the meteorological condition to determine a road safety threshold under different meteorological conditions; compare the lateral acceleration with the road safety threshold under the corresponding meteorological condition, and if the lateral acceleration is greater than the road safety threshold under the corresponding meteorological condition, close the dynamic parking area.

[0125] The system of the embodiment can be used to execute the method of any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

Claims

1. An intelligent park space management method, characterized in that, include: Obtain parking information for vehicles in the park and data on the movement of non-motorized vehicles; Analyze the parking information to identify illegally parked vehicles; Based on the non-motorized movement data and the illegally parked vehicles, the spatiotemporal conflict area is determined; Obtain the park road layout map, and dynamically divide the spatiotemporal conflict area into parking zones based on the park road layout map to obtain dynamic parking areas; Based on the non-motorized movement data, determine the dynamic start-stop time; The on / off state of the dynamic parking area is controlled according to the dynamic start / stop time.

2. The method according to claim 1, characterized in that, The dynamic parking area is obtained by dynamically dividing the spatiotemporal conflict area according to the park road layout map, including: Analyze the park road layout map to determine the curve layout of the spatiotemporal conflict area; Determine the curve radius based on the curve layout; Retrieve preset vehicle information, analyze the preset vehicle information, and determine the average blind spot. Based on the curve radius and the average blind spot, the spatiotemporal conflict area is dynamically divided into parking zones to obtain dynamic parking areas.

3. The method according to claim 1, characterized in that, The step of determining the spatiotemporal conflict zone based on the non-motorized movement data and the illegally parked vehicles includes: Analyze the parking information to determine the location coordinates and parking time of the illegally parked vehicles; A parking heatmap is generated based on the location coordinate set and the parking time; Analyze the non-motorized vehicle data, and determine the detour density based on the parking heat map and the non-motorized vehicle analysis results; Based on the bypass density, the spatiotemporal conflict region is determined.

4. The method according to claim 2, characterized in that, Determining the curve radius based on the curve layout includes: Based on the aforementioned curve layout, determine the curve radius; Analyze the parking information to determine the vehicle's turning radius; Based on the curve layout radius and the vehicle turning radius, a curve buffer zone is determined, and the curve buffer zone is analyzed to determine the curve radius.

5. The method according to claim 1, characterized in that, The step of controlling the opening and closing of the dynamic parking area based on the dynamic start-stop time includes: Identify the vehicle information of the currently moving vehicle; analyze the vehicle information to determine the desired destination; Based on the non-motorized movement data, the target parking point is determined; Based on the target parking spot and the desired destination, determine the parking intention; Based on the dynamic start-stop time, determine the currently available parking area; Based on the stated parking intention, the currently available parking area is switched on or off.

6. The method according to claim 5, characterized in that, The step of determining parking intention based on the target parking spot and the desired destination includes: Determine the interval distance based on the target parking point and the desired destination; Based on the non-motorized movement data, determine the average movement distance; The intention attenuation coefficient is determined based on the average travel distance. Based on the interval distance and the willingness attenuation coefficient, the parking willingness is calculated using the following formula: ； in, This indicates the intention to park; This represents the intention decay coefficient; This indicates the interval distance.

7. The method according to claim 2, characterized in that, Before the step of dynamically dividing the spatiotemporal conflict area into dynamic parking zones based on the curve radius and the average blind spot, the method further includes: Analyze the park road layout map to determine the straight lanes in the spatiotemporal conflict area; Acquire and analyze environmental information of the straight driving lane within a preset distance range; determine the one-way driving edge situation based on the environmental analysis results; Based on the unidirectional driving edge situation, the spatiotemporal conflict area is dynamically divided into driving areas to obtain the optimal driving area; The driving area on the curve is determined based on the curve radius and the average blind spot. The optimal driving area and the curved driving area are defined as the driving areas of the spatiotemporal conflict area.

8. The method according to claim 7, characterized in that, The step of controlling the opening and closing of the dynamic parking area based on the dynamic start-stop time includes: Based on the environmental analysis results, the meteorological conditions for the dynamic start-stop time are determined; Based on the meteorological conditions, retrieve historical non-motorized vehicle movement data; based on the historical non-motorized vehicle movement data, determine the changes in non-motorized vehicle movement at the dynamic start-stop time; The activation range of the dynamic parking area is determined based on the changes in non-motorized movement. The on / off state of the dynamic parking area is controlled according to the activation range.

9. The method according to claim 8, characterized in that, The method further includes: Based on the curve radius, the preset vehicle information is analyzed to determine the lateral acceleration of different vehicle models when traveling at the curve radius; Analyze the meteorological conditions to determine the road safety thresholds under different meteorological conditions; The lateral acceleration is compared with the road safety threshold under the corresponding weather conditions. If the lateral acceleration is greater than the road safety threshold under the corresponding weather conditions, the dynamic parking area is closed.

10. An intelligent park space management system, characterized in that, The method applied to any one of claims 1-9 includes: The information acquisition module is used to acquire parking information of vehicles and non-motorized vehicle movement data in the park. The information analysis module is used to analyze the parking information, identify illegally parked vehicles, and determine the spatiotemporal conflict area based on the non-motorized vehicle movement data and the illegally parked vehicles. The area division module is used to obtain a park road layout map and dynamically divide the spatiotemporal conflict area into parking areas based on the park road layout map to obtain dynamic parking areas. The time determination module is used to determine the dynamic start and stop time based on the non-motorized movement data; The switch control module is used to control the opening and closing of the dynamic parking area according to the dynamic start-stop time.

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