A parking space supply and demand space-time balancing method

Abstract

This invention provides a method for balancing the spatial and temporal supply and demand of parking spaces, comprising: obtaining the changing patterns of parking space supply and demand in different areas based on historical traffic data and vehicle parking conditions within a target area; classifying all areas based on these patterns, and formulating corresponding parking space balancing methods for temporary parking space openings and shared parking space combinations based on the classification results; evaluating the mitigation effect of the parking space balancing method on the regional parking space supply and demand imbalance, and adjusting the scope of the parking space balancing method for areas where the mitigation effect is lower than expected. This method can effectively formulate appropriate parking space balancing methods for different areas, better solving the problem of spatial and temporal imbalance of parking space supply and demand.

Description

Technical Field

[0001] This invention relates to the field of technology, and in particular to a method for balancing the supply and demand of parking spaces in time and space. Background Technology

[0002] Currently, the number of motor vehicles is growing rapidly, but the construction of parking facilities has not kept pace, resulting in a serious imbalance between the supply and demand of parking spaces. This imbalance is also reflected in the spatial and temporal disparities in parking space supply. Specifically, during working hours, the supply of parking spaces in work areas is far less than the demand, while in residential areas, the supply far exceeds the demand. The opposite is true during rest periods. This situation not only means that parking resources are not being fully utilized, but also leads to problems such as illegal parking, parking difficulties, and parking encroaching on roads.

[0003] Therefore, the present invention provides a method for balancing the supply and demand of parking spaces in time and space. Summary of the Invention

[0004] This invention provides a method for balancing the supply and demand of parking spaces in time and space. It obtains the changing patterns of parking space supply and demand in different areas, classifies the areas according to these patterns, formulates corresponding parking space balancing methods based on the classification results, and adjusts the scope of the parking space balancing methods for areas where the mitigation effect is lower than expected. This method can effectively formulate appropriate parking space balancing methods for different areas and better solve the problem of the spatial and temporal imbalance of parking space supply and demand.

[0005] This invention provides a method for balancing the supply and demand of parking spaces in time and space, comprising:

[0006] Step 1: Based on historical traffic data and vehicle parking conditions within the target area, obtain the changing patterns of parking space supply and demand in different areas;

[0007] Step 2: Classify all areas based on the changing patterns of parking space supply and demand, and formulate corresponding parking space balancing methods for temporary parking space opening and shared parking space combinations based on the classification results of the areas;

[0008] Step 3: Evaluate the effect of the parking space balancing method on alleviating the imbalance between parking space supply and demand in the area, and adjust the scope of the parking space balancing method for areas where the alleviation effect is lower than expected.

[0009] Preferably, based on historical traffic data and vehicle parking conditions within the target area, the supply and demand patterns of parking spaces in different areas are obtained, including:

[0010] Obtain the locations of all parking lots within the target area and divide the target area into regions;

[0011] Obtain the parking space usage information for each parking lot, draw a parking space usage map for each parking lot, and perform periodicity and saturation analysis;

[0012] Acquire the first historical traffic data within the target area and the second historical traffic data within each segmented area. Based on the big data platform, distinguish between regular vehicles and temporary vehicles in the corresponding segmented areas, and obtain the first travel patterns of regular vehicles and the first travel characteristics of temporary vehicles in the corresponding segmented areas, as well as the second travel patterns of regular vehicles and the second travel characteristics of temporary vehicles in the target area.

[0013] Based on the patterns and characteristics of first-trip travel, the vehicle flow patterns of the corresponding designated areas are determined;

[0014] Based on the traffic flow patterns of all vehicles, determine the demand pattern for the first parking space within the target area.

[0015] Based on the patterns and characteristics of second-trip travel, the demand patterns for second parking spaces within the target area are determined;

[0016] The vehicle flow pattern is adjusted based on the demand patterns for the first and second parking spaces.

[0017] Based on the analysis results of the periodicity and saturation of parking spaces in each parking lot within each division area, as well as the results of the pattern adjustment, the supply and demand change patterns of parking spaces in the corresponding division area are determined.

[0018] Preferably, all areas are classified based on the changing patterns of parking space supply and demand, including:

[0019] Based on the characteristics of the parking space supply and demand change patterns, all areas are classified into a first category.

[0020] Obtain the first classification result, determine the supply-demand ratio of the corresponding area during peak hours based on the parking space supply-demand change pattern, and classify the same category areas into a second category according to the supply-demand ratio and area type.

[0021] Preferably, a second classification is performed on regions of the same category based on the supply-demand ratio and region type, including:

[0022] The same category of regions is graded according to the supply-demand ratio, including:

[0023] When the supply-demand ratio is greater than or equal to the first preset ratio, the corresponding area will be rated as the first level.

[0024] When the supply-demand ratio is greater than or equal to the second preset ratio and less than the first preset ratio, the corresponding area will be rated as the second level.

[0025] When the supply-demand ratio is greater than or equal to the third preset ratio and less than the second preset ratio, the corresponding area will be rated as the third level.

[0026] When the supply-demand ratio is less than the third preset ratio, the corresponding region will be rated as the fourth level.

[0027] Among them, the first preset ratio > the second preset ratio > the third preset ratio;

[0028] The impact of area type on parking demand:

[0029]

[0030] Where Y represents the impact of area type on parking demand in areas of the same category; θ i1 θ represents the number of vehicles that have been parked for an extended period of time in the i-th block of the region; i2 This represents the number of vehicles that stopped briefly in the i-th block of the region; x i This represents the number of permanent employees in the i-th block of the region; m i This represents the building area of ​​the i-th block in the region; n represents the number of blocks in the region.

[0031] The area classification is adjusted based on the impact of parking demand, and the areas in the same category are then classified into a second category based on the adjusted area classification.

[0032] Preferably, a parking space balancing method is formulated based on the classification results of the area, including:

[0033] The first time period for balancing parking spaces in all areas is determined based on the first classification results of the areas.

[0034] The primary and secondary roles of the parking space balancing method for the corresponding area are determined based on the first time period.

[0035] The primary and secondary importance of the parking space balancing method for the corresponding area is adjusted based on the results of the second classification of the area.

[0036] If temporary parking spaces are the primary focus, determine the street information for each area, and perform a first screening of the streets based on the street information;

[0037] Obtain historical traffic flow data for the streets in the first filter, and determine the second time period when the traffic flow of the corresponding street is lower than the preset traffic flow.

[0038] Based on the first time period and the second time period, a second filter is performed on the streets selected in the first filter.

[0039] The streets selected for the second screening are identified as temporary parking spaces, and street data for these temporary parking spaces is obtained.

[0040] Determine the type and proportion of parked vehicles in the area where temporary parking streets are set up, and plan the number and size of parking spaces in the temporary parking streets based on the street data.

[0041] The parking period for the temporary parking spaces shall be the second period during which the street is temporarily opened up for the aforementioned parking spaces;

[0042] If shared parking spaces are the primary feature, then obtain the parking space occupancy rate of all parking lots in the area during the corresponding first time period;

[0043] Parking lots with occupancy rates below the preset rate will be designated as backup parking lots. Vacant parking spaces in these backup parking lots will be designated as shared parking spaces based on the authorization of the parking space owners, and a shared parking space database for the area will be established.

[0044] Obtain the demand information of parking space users in the region, combine it with the shared parking space database of the corresponding region, and perform optimal matching based on the principle of long-term stability.

[0045] Preferably, determining the primary and secondary roles of the parking space balancing method for the corresponding area based on the first time period includes:

[0046] If the first time period is during the daytime on a weekday, then shared parking spaces will be the primary priority, while temporary parking spaces will be secondary.

[0047] If the first time period is at night, temporary parking spaces will be the primary priority, while shared parking spaces will be the secondary priority.

[0048] If the first time period is during the daytime on a non-working day, then temporary parking spaces and shared parking spaces will be the main options.

[0049] Preferably, the street information for each location within the area is determined, and a first filtering of the streets is performed based on the street information, including:

[0050] Obtain information on streets in various locations and exclude main urban roads;

[0051] Based on the number of streets and roads, one-way streets and two-lane streets in both directions are excluded;

[0052] Obtain the remaining streets as pre-selected streets.

[0053] Preferably, the evaluation of the mitigation effect of the parking space supply-demand imbalance in the area based on the parking space balancing method includes:

[0054] The parking space balancing method can be used to determine the number of parking spaces added to a corresponding area.

[0055] Predict changes in the supply-demand ratio based on the increased number of parking spaces and the corresponding supply-demand ratio in the area;

[0056] The mitigation effect is evaluated based on the prediction results.

[0057] Preferably, the range of the parking space balancing method is adjusted for areas where the mitigation effect is less than expected, including:

[0058] Acquire areas where the relief effect is lower than expected, as well as surrounding areas;

[0059] Select areas in the surrounding region where parking spaces were not scarce in the first time period, even though the relief effect was lower than expected, as supplementary areas;

[0060] The parking spaces in the area are supplemented by filling the parking space vacancies in the area.

[0061] 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.

[0062] 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

[0063] 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:

[0064] Figure 1 This is a flowchart of a method for balancing the supply and demand of parking spaces in time and space according to an embodiment of the present invention;

[0065] Figure 2 This is a flowchart of Embodiment 5 in the present invention. Detailed Implementation

[0066] 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.

[0067] Example 1

[0068] This invention provides a method for balancing the supply and demand of parking spaces in time and space, such as... Figure 1 As shown, it includes:

[0069] Step 1: Based on historical traffic data and vehicle parking conditions within the target area, obtain the changing patterns of parking space supply and demand in different areas;

[0070] Step 2: Classify all areas based on the changing patterns of parking space supply and demand, and formulate corresponding parking space balancing methods for temporary parking space opening and shared parking space combinations based on the classification results of the areas;

[0071] Step 3: Evaluate the effect of the parking space balancing method on alleviating the imbalance between parking space supply and demand in the area, and adjust the scope of the parking space balancing method for areas where the alleviation effect is lower than expected.

[0072] In this embodiment, historical traffic data refers to vehicle travel trajectories, vehicle parking status is obtained through the parking space usage of parking lots within the target area, and the parking space supply and demand change pattern refers to the change pattern of the ratio of parking space supply and demand over time.

[0073] In this embodiment, the classification is based on the characteristics of the parking space supply and demand change pattern, the supply and demand ratio, and the impact of regional type on parking demand. Temporary parking space opening refers to the use of streets in the area to open temporary parking spaces to alleviate parking pressure, which is a parking space balancing method. Shared parking spaces refer to the parking space balancing method based on private parking spaces and parking lot vacant spaces as shared parking spaces, which are provided to parking space demanders.

[0074] In this embodiment, the assessment of the mitigation effect is obtained by predicting changes in the supply-demand ratio, and the range adjustment refers to the expansion of the area range of the parking space balancing method.

[0075] The beneficial effects of the above technical solution are: by obtaining the changing patterns of parking space supply and demand in different areas, the areas are classified according to the changing patterns of parking space supply and demand, and corresponding parking space balancing methods are formulated based on the classification results. For areas where the mitigation effect is lower than expected, the scope of the parking space balancing method is adjusted. This can effectively formulate appropriate parking space balancing methods for different areas and better solve the problem of spatial and temporal imbalance between parking space supply and demand.

[0076] Example 2

[0077] Based on Example 1, and using historical traffic data and vehicle parking conditions within the target area, the supply and demand patterns of parking spaces in different areas are obtained, including:

[0078] Obtain the locations of all parking lots within the target area and divide the target area into regions;

[0079] Obtain the parking space usage information for each parking lot, draw a parking space usage map for each parking lot, and perform periodicity and saturation analysis;

[0080] Acquire the first historical traffic data within the target area and the second historical traffic data within each segmented area. Based on the big data platform, distinguish between regular vehicles and temporary vehicles in the corresponding segmented areas, and obtain the first travel patterns of regular vehicles and the first travel characteristics of temporary vehicles in the corresponding segmented areas, as well as the second travel patterns of regular vehicles and the second travel characteristics of temporary vehicles in the target area.

[0081] Based on the patterns and characteristics of first-trip travel, the vehicle flow patterns of the corresponding designated areas are determined;

[0082] Based on the traffic flow patterns of all vehicles, determine the demand pattern for the first parking space within the target area.

[0083] Based on the patterns and characteristics of second-trip travel, the demand patterns for second parking spaces within the target area are determined;

[0084] The vehicle flow pattern is adjusted based on the demand patterns for the first and second parking spaces.

[0085] Based on the analysis results of the periodicity and saturation of parking spaces in each parking lot within each division area, as well as the results of the pattern adjustment, the supply and demand change patterns of parking spaces in the corresponding division area are determined.

[0086] In this embodiment, the area can be divided based on streets, such as selecting several streets and roads within a target area to divide it.

[0087] In this embodiment, parking space usage refers to the change in the ratio of parking spaces used to total parking spaces over time. The parking space usage chart is a curve plotted based on parking space usage, with time on the horizontal axis and the number of parking spaces used on the vertical axis. The periodic analysis is a periodic analysis of the parking space usage chart on a daily basis, and the saturation analysis is an analysis of the time when parking spaces are saturated.

[0088] In this embodiment, the first historical traffic data refers to the travel trajectories of vehicles within the target area. The second historical traffic data is similar to the first historical traffic data. Regular vehicles refer to vehicles that frequently appear in the corresponding area, while temporary vehicles refer to vehicles that appear less frequently in the corresponding area. The first travel pattern is the travel pattern of regular vehicles in the corresponding area. For example, the vehicles of residents in a residential area are regular vehicles in that area, and the travel pattern of these regular vehicles in the residential area is the first travel pattern. The second travel pattern refers to the travel pattern of regular vehicles within the target area. The first travel characteristic refers to the travel characteristic of temporary vehicles within the corresponding area, and the second travel characteristic refers to the travel characteristic of temporary vehicles within the target area.

[0089] In this embodiment, vehicle flow pattern refers to the regular changes in vehicle flow in the corresponding area.

[0090] In this embodiment, the demand pattern for the first parking space is the changing pattern of parking space demand within the target area.

[0091] In this embodiment, the demand pattern for the second parking space is the changing pattern of parking space demand across the entire target area.

[0092] In this embodiment, the adjustment of vehicle flow patterns is determined by using the demand patterns of the first and second parking spaces to determine the vehicle flow patterns of the entire target area.

[0093] In this embodiment, the parking space supply and demand pattern is determined based on the analysis results of the periodicity and saturation of parking spaces in each parking lot in the area to determine the parking space supply, and combined with the pattern adjustment results to determine the parking space demand pattern.

[0094] The beneficial effects of the above technical solution are: by obtaining the travel patterns and characteristics of regular and temporary vehicles, the traffic flow pattern can be determined and adjusted. Combined with the analysis results of the periodicity and saturation of parking spaces, the supply and demand change pattern of parking spaces can be determined more accurately, laying the foundation for subsequent classification of areas.

[0095] Example 3

[0096] Based on Example 1, all areas are classified according to the changing patterns of parking space supply and demand, including:

[0097] Based on the characteristics of the parking space supply and demand change patterns, all areas are classified into a first category.

[0098] Obtain the first classification result, determine the supply-demand ratio of the corresponding area during peak hours based on the parking space supply-demand change pattern, and classify the same category areas into a second category according to the supply-demand ratio and area type.

[0099] In this embodiment, the first classification divides the area into three categories: Category A, where the parking space supply and demand change from small to large during the day and night (e.g., work areas); Category B, where the parking space supply and demand change from large to small during the day and night (e.g., residential areas); and Category C, where the parking space supply and demand change with holidays (e.g., amusement areas).

[0100] In this embodiment, the supply-demand ratio refers to the ratio of parking supply to demand. The second classification determines the regional level of the same category based on the supply-demand ratio, and then adjusts the regional level based on the impact of parking demand obtained through the regional type. The classification is then carried out based on the adjusted regional level.

[0101] The beneficial effects of the above technical solution are: classifying areas based on the characteristics of parking space supply and demand changes, and further subdividing areas of the same category based on supply and demand ratio and area type, can improve the accuracy of area classification and lay the foundation for subsequent development of parking space balancing methods suitable for each area.

[0102] Example 4

[0103] Based on Example 3, a second classification is performed on regions of the same category according to the supply-demand ratio and region type, including:

[0104] The same category of regions is graded according to the supply-demand ratio, including:

[0105] When the supply-demand ratio is greater than or equal to the first preset ratio, the corresponding area will be rated as the first level.

[0106] When the supply-demand ratio is greater than or equal to the second preset ratio and less than the first preset ratio, the corresponding area will be rated as the second level.

[0107] When the supply-demand ratio is greater than or equal to the third preset ratio and less than the second preset ratio, the corresponding area will be rated as the third level.

[0108] When the supply-demand ratio is less than the third preset ratio, the corresponding region will be rated as the fourth level.

[0109] Among them, the first preset ratio > the second preset ratio > the third preset ratio;

[0110] The impact of area type on parking demand:

[0111]

[0112] Where Y represents the impact of area type on parking demand in areas of the same category; θ i1 θ represents the number of vehicles that have been parked for an extended period of time in the i-th block of the region; i2 This represents the number of vehicles that stopped briefly in the i-th block of the region; x i This represents the number of permanent employees in the i-th block of the region; m i This represents the building area of ​​the i-th block in the region; n represents the number of blocks in the region.

[0113] The area classification is adjusted based on the impact of parking demand, and the areas in the same category are then classified into a second category based on the adjusted area classification.

[0114] In this embodiment, adjusting the area level means that if the impact of parking demand is greater than the preset impact, the level is adjusted upward; if it is less than the preset impact, the level is adjusted downward. The preset impact is set in advance.

[0115] The beneficial effects of the above technical solution are: by assessing the grade of the same category of areas according to the supply-demand ratio, determining the impact of area type on parking demand, adjusting the area grade according to the impact, and classifying the same category of areas based on the adjusted area grade, the accuracy of area classification can be improved.

[0116] Example 5

[0117] Based on Example 1, a parking space balancing method is formulated according to the regional classification results, including temporary parking space creation and shared parking space combinations. Figure 2 As shown, it includes:

[0118] Step 01: Determine the first time period for balancing parking spaces in all areas based on the first classification result of the area;

[0119] Step 02: Determine the primary and secondary roles of the parking space balancing method for the corresponding area based on the first time period;

[0120] Step 03: Adjust the primary and secondary status of the parking space balancing method for the corresponding area based on the second classification results of the area;

[0121] Step 04: If the temporary opening of parking spaces is the primary focus, determine the street information for each area, and perform a first screening of the streets based on the street information;

[0122] Step 05: Obtain historical traffic flow data for the streets in the first filter, and determine the second time period when the traffic flow of the corresponding street is lower than the preset traffic flow.

[0123] Step 06: Based on the first time period and the second time period, perform a second filter on the streets selected in the first filter;

[0124] Step 07: Determine the streets in the second filter as temporary parking spaces, and obtain the street data for the temporary parking spaces.

[0125] Step 08: Determine the type and proportion of parked vehicles in the area where the temporary street is located, and plan the number and size of the parking spaces in the temporary street based on the street data;

[0126] Step 09: The parking time for the temporary parking space shall be the second time period during which the street is temporarily opened up for the parking space;

[0127] Step 010: If shared parking spaces are the primary feature, obtain the parking space occupancy rate of all parking lots in the area during the corresponding first time period;

[0128] Step 011: Designate parking lots with occupancy rates lower than the preset rate as backup parking lots, and based on the authorization of the parking space owners, designate the vacant parking spaces in the backup parking lots as shared parking spaces, and establish a shared parking space database for the area.

[0129] Step 012: Obtain the demand information of parking space demanders in the area, combine it with the shared parking space database of the corresponding area, and perform optimal matching based on the principle of long-term stability.

[0130] In this embodiment, the first time period is determined based on the first classification result. For example, the first time period for category A is the daytime working hours.

[0131] In this embodiment, the primary and secondary status is determined by the primary and secondary status of temporary parking space creation and shared parking as two methods.

[0132] In this embodiment, the adjustment of primary and secondary status is based on the regional level of the second classification result. For example, if the temporary opening of parking spaces is determined to be primary and the shared parking spaces to be secondary based on the first time period, and then the regional level is determined to be the first level based on the second classification result, then the shared parking spaces are determined to be primary and the temporary opening of parking spaces is determined to be secondary.

[0133] In this embodiment, the first screening is to exclude streets that do not meet the preliminary requirements based on street information, such as urban main roads, one-way streets, etc.

[0134] In this embodiment, the preset traffic flow is set in advance, which can be the traffic flow corresponding to when the road is clear.

[0135] In this embodiment, the second filtering is to exclude streets that do not match the first time period and the second time period.

[0136] In this embodiment, the type of parked vehicle refers to cars, trucks, etc., and the street data refers to the length of the street, the intersections, the number of lanes, etc. The planning is based on the street data to determine the plannable street length and the number of lanes, and the proportion of different-sized parking spaces is determined by the proportion of vehicle types, thereby determining the specific number of parking spaces.

[0137] In this embodiment, the parking space occupancy rate is obtained based on the parking space usage in the parking lot.

[0138] In this embodiment, the preset rate is set in advance, and the shared parking space database includes information such as the location of the shared parking space, the sharing time, and whether there is a vehicle charging function.

[0139] In this embodiment, the demand information can be obtained through a shared parking space APP. The long-term stability principle means that the demand side and the supply side are both long-term demand and supply, and priority is given to matching them.

[0140] The beneficial effects of the above technical solution are as follows: the primary and secondary roles of parking space balancing methods are determined by the regional classification results. If the temporary opening of parking spaces is the primary role, then the regional streets are screened to obtain streets where parking spaces are temporarily opened. Parking spaces are planned according to the type and proportion of parked vehicles and street data. If shared parking spaces are the primary role, then backup parking lots are determined, a shared parking space database is established, and matching is performed with parking space demanders. Different parking space balancing methods are selected for different regions, achieving the optimal choice for parking space balancing in different regions.

[0141] Example 6

[0142] Based on Embodiment 5, the primary and secondary roles of the parking space balancing method for the corresponding area are determined based on the first time period, including:

[0143] If the first time period is during the daytime on a weekday, then shared parking spaces will be the primary priority, while temporary parking spaces will be secondary.

[0144] If the first time period is at night, temporary parking spaces will be the primary priority, while shared parking spaces will be the secondary priority.

[0145] If the first time period is during the daytime on a non-working day, then temporary parking spaces and shared parking spaces will be the main options.

[0146] The beneficial effects of the above technical solution are: by determining the time of the first time period, the primary and secondary status of the parking space balancing method can be determined according to the different time periods, and the primary and secondary status can be initially established, which facilitates subsequent adjustments.

[0147] Example 7

[0148] Based on Example 5, street information for each location in the area is determined, and a first screening of the streets is performed based on the street information, including:

[0149] Obtain information on streets in various locations and exclude main urban roads;

[0150] Based on the number of streets and roads, one-way streets and two-lane streets in both directions are excluded;

[0151] Obtain the remaining streets as pre-selected streets.

[0152] In this embodiment, street information refers to the number of one-way and two-way lanes, the length of the street, etc.

[0153] The beneficial effects of the above technical solution are: by obtaining street information, urban main roads, one-way streets, and two-way two-lane roads are excluded, and the remaining lane positions are pre-selected, thus narrowing down the range of lanes for the second screening.

[0154] Example 8

[0155] Based on Example 1, the evaluation of the mitigation effect of the parking space supply-demand imbalance in the area according to the parking space balancing method includes:

[0156] The parking space balancing method can be used to determine the number of parking spaces added to a corresponding area.

[0157] Predict changes in the supply-demand ratio based on the increased number of parking spaces and the corresponding supply-demand ratio in the area;

[0158] The mitigation effect is evaluated based on the prediction results.

[0159] In this embodiment, the prediction of changes in the supply-demand ratio is based on a prediction model, which is pre-trained based on the original supply-demand ratio and the increase in the number of parking spaces.

[0160] In this embodiment, the assessment of the mitigation effect is based on a comparison between the predicted change in the supply-demand ratio and a preset value, which is set in advance.

[0161] The beneficial effects of the above technical solution are: by obtaining the number of increased parking spaces, the change in the regional supply-demand ratio can be predicted, and then the mitigation effect can be evaluated based on the prediction results, laying the foundation for adjusting the scope of areas where the mitigation effect is lower than expected.

[0162] Example 9

[0163] Based on Example 1, the range of the parking space balancing method is adjusted for areas where the mitigation effect is lower than expected, including:

[0164] Acquire areas where the relief effect is lower than expected, as well as surrounding areas;

[0165] Select areas in the surrounding region where parking spaces were not scarce in the first time period, even though the relief effect was lower than expected, as supplementary areas;

[0166] The parking spaces in the area are supplemented by filling the parking space vacancies in the area.

[0167] In this embodiment, the surrounding area refers to the adjacent area.

[0168] In this embodiment, areas with no parking shortages are determined by assessing the usage of parking lots in those areas during a first time period.

[0169] The beneficial effects of the above technical solution are: by identifying areas where the mitigation effect is lower than expected and surrounding areas, and selecting areas in the surrounding areas that can serve as supplementary areas to supplement parking spaces, the parking pressure in the area can be effectively alleviated, and parking resources can be fully utilized.

[0170] 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 space supply and demand space-time balancing method, characterized in that, The method comprises the following steps: Step 1: Based on historical traffic data and vehicle parking conditions in the target range, obtain the parking space supply and demand change law of different regions; Step 2: Classify all regions based on the parking space supply and demand change law, and formulate the parking space balancing method of temporary parking space opening and shared parking space combination according to the classification results of the regions; Step 3: Evaluate the mitigation effect of the parking space supply and demand imbalance of the region according to the parking space balancing method, and adjust the range of the parking space balancing method for the region with a lower-than-expected mitigation effect; Classify all regions based on the parking space supply and demand change law, which comprises: Classify all regions based on the characteristics of the parking space supply and demand change law; Obtain the first classification result, determine the supply and demand ratio of the peak period of the corresponding region based on the parking space supply and demand change law, and classify the regions in the same classification according to the supply and demand ratio and the region type; Formulate the parking space balancing method of temporary parking space opening and shared parking space combination according to the classification results of the regions, which comprises: Determine the first time period of all regions that need to balance the parking space according to the first classification result of the region; Determine the primary and secondary positions of the parking space balancing method of the corresponding region based on the first time period; Adjust the primary and secondary positions of the parking space balancing method of the corresponding region according to the second classification result of the region; If the temporary parking space opening is the primary position, determine the street information of the region, and perform the first screening on the streets based on the street information; Obtain the historical traffic data of the first screened streets, determine the second time period in which the traffic volume of the corresponding street is lower than the preset traffic volume; Perform the second screening on the first screened streets based on the first time period and the second time period; Determine the second screened streets as the temporary parking space opening streets, and obtain the street data of the temporary parking space opening streets; Determine the type and proportion of the parking vehicles in the region where the temporary parking space opening streets are located, and plan the number and size of the parking spaces of the temporary parking space opening streets in combination with the street data; Take the second time period of the temporary parking space opening streets as the parking time period of the temporary parking spaces; If the shared parking space is the primary position, obtain the parking space occupancy rate of all parking lots in the region in the corresponding first time period; Take the parking lot with a parking space occupancy rate lower than the preset rate as a standby parking lot, and authorize the empty parking spaces in the standby parking lot as shared parking spaces to set up a shared parking space library of the region; Obtain the demand information of the parking space demand side in the region, combine the shared parking space library of the corresponding region, and perform optimal matching based on the long-term stability principle.

2. The method of claim 1, wherein, Based on historical traffic data and vehicle parking conditions in the target range, obtain the parking space supply and demand change law of different regions, which comprises: Obtain the positions of all parking lots in the target range, and divide the target range into regions; Obtain the parking space usage of each parking lot, draw the parking space usage diagram of each parking lot, and perform periodic and saturation analysis; Acquire first historical traffic data in the target range and second historical traffic data in each division area, and based on the big data platform, distinguish regular vehicles and temporary vehicles in the corresponding division area, acquire the first travel rule of regular vehicles and the first travel characteristics of temporary vehicles in the corresponding division area, and the second travel rule of regular vehicles and the second travel characteristics of temporary vehicles in the target range; Based on the first travel rule and the first travel characteristics, determine the vehicle flowability rule of the corresponding division area; Based on all the vehicle flowability rules, determine the first parking space demand rule in the target range; Based on the second travel rule and the second travel characteristics, determine the second parking space demand rule in the target range; Adjust the vehicle flowability rule based on the first parking space demand rule and the second parking space demand rule; According to the parking space periodicity and saturation analysis results of each parking lot in each division area and the rule adjustment results, determine the parking space supply and demand change rule of the corresponding division area.

3. The method of claim 1, wherein the parking space supply and demand is balanced in time and space. According to the supply and demand ratio and the area type, second classify the same classification area, including: According to the supply and demand ratio, grade the same classification area, including: When the supply and demand ratio is greater than or equal to the first preset ratio, the corresponding area is rated as the first grade; When the supply and demand ratio is greater than or equal to the second preset ratio and less than the first preset ratio, the corresponding area is rated as the second grade; When the supply and demand ratio is greater than or equal to the third preset ratio and less than the second preset ratio, the corresponding area is rated as the third grade; When the supply and demand ratio is less than the third preset ratio, the corresponding area is rated as the fourth grade; Wherein, the first preset ratio> the second preset ratio> the third preset ratio; Acquire the influence of the area type on parking demand: Y represents the influence of the zone type on the parking demand of the same classification zone; represents the number of vehicles in the i-th subzone of the zone that park for a long time; represents the number of vehicles in the i-th subzone of the zone that park for a short time; represents the number of resident workers in the i-th subzone of the zone; represents the building area of the i-th subzone of the zone; n represents the number of subzones of the zone; According to the influence of parking demand, adjust the area grade, and second classify the same classification area according to the adjusted area grade.

4. The method of claim 1, wherein the parking space supply and demand is balanced in time and space. Determine the primary and secondary positions of the parking space balancing method of the corresponding area based on the first time period, including: If the first time period is daytime on weekdays, the shared parking space is the primary position, and the temporary parking space is the secondary position; If the first time period is night, the temporary parking space is the primary position, and the shared parking space is the secondary position; If the first time period is daytime on non-working days, both the temporary parking space and the shared parking space are the primary positions.

5. The method of claim 1, wherein the parking space supply and demand is balanced in time and space. Determine the street information of each area, and based on the street information, first screen the streets, including: Acquire the street information of each area, and exclude the city trunk road; Based on the number of street roads, exclude the one-way street and the two-lane street; Acquire the remaining streets as preselected streets.

6. The method of claim 1, wherein the parking space supply and demand is balanced in time and space. Evaluate the mitigation effect of the parking space supply and demand imbalance of the area according to the parking space balancing method, including: Acquire the number of parking spaces that can be increased in the corresponding area by the parking space balancing method; Based on the increased number of parking spaces and the supply and demand ratio of the corresponding area, predict the change of the supply and demand ratio; Based on the prediction result, evaluate the mitigation effect.

7. The method of claim 1, wherein the parking space supply and demand is balanced in time and space. Adjust the range of the parking space balancing method for the area whose mitigation effect is lower than expected, including: Acquire the area whose mitigation effect is lower than expected and the surrounding area; Select a region in the peripheral region where the parking space is not tight in the first time period of the region whose relief effect is lower than expected as a supplementary region; Take the vacancy of the parking space in the supplementary region as the parking space supplement of the region.

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