Method and system for evaluating the impact of parking lot access activities on road capacity

Abstract

The application belongs to the technical field of urban traffic management, and provides a method and system for evaluating the influence of parking lot access activities on road traffic capacity. In order to solve the problem of quantitative evaluation of the influence of parking lot access activities on road traffic capacity, the application first segments the connecting road according to the set distance along the length direction of the connecting road; draws the distribution curve of vehicles in each section at different time periods; then determines the target lane of vehicle driving affected by the movement of vehicles accessing the parking lot according to the difference between the two kurtosis; finally, the traffic capacity reduction coefficient is obtained by comprehensively considering the mixed interference degree and the travel time interference degree; the influence of road traffic capacity is evaluated according to the traffic capacity reduction coefficient; and the lane-level refined traffic capacity influence evaluation and the quantitative evaluation of the influence of parking lot access activities on road traffic capacity are realized.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of urban traffic management, and particularly relates to a method and system for evaluating the influence of parking lot access activities on road traffic capacity. BACKGROUND

[0002] Urban parking facilities are an important part of urban traffic systems, and their entrances and exits are usually connected with road traffic. However, there are usually no facility control facilities at the connection locations, and the moving speed of vehicles entering and exiting the parking lot will significantly decrease, forming a complex conflict area with straight vehicles and significantly affecting the road traffic capacity connected therewith, and thus traffic congestion is prone to occur. Therefore, in-depth research on the influence of parking lot entrance and exit space characteristics on road traffic capacity helps to promote the research on the interaction mechanism of traffic space, optimize the space setting of parking lot entrances and exits, and provide theoretical and technical support for the realization of the goals of relieving urban road traffic congestion and improving road safety.

[0003] At present, the research on the influence of the space-time characteristics of vehicle activities at the entrances and exits of parking lots on road traffic capacity is relatively limited. Mainly, the influence of the structure and scale of vehicle parking lot entrances and exits on the surrounding roads is considered, such as the queuing length of the parking lot, the scale of the parking lot, the traffic organization form of the parking lot entrance and exit, etc. The current mainstream research believes that the influence of the entrances and exits of the parking lot on road traffic mainly reflects on the influence on the traffic flow characteristics, for example, the speed distribution near the entrances and exits of the parking lot will vary with the lane position, the outermost lane is most affected by the entrances and exits, and the speed is the lowest, while the inner lane is less disturbed. In addition, the increase of the parking entry rate and the road section flow will cause the number of congestion nodes to increase significantly, and the congestion will spread from the entrance and exit to the upstream of the road. However, there is still a lack of research on the space-time variation characteristics of the influence range of the parking lot access behavior on the connecting road, and the lane-level refined traffic capacity influence evaluation, and it is impossible to realize quantitative evaluation. SUMMARY

[0004] In order to solve the above problems, the present application provides a method and system for evaluating the influence of parking lot access activities on road traffic capacity. First, the connecting road is segmented along the length direction of the connecting road according to the set distance; the distribution curve of vehicles in each section at different time periods is drawn; then, the target lane where the vehicle movement is affected by the access of the parking lot is determined according to the difference between the two kurtosis values; finally, the traffic capacity reduction coefficient is obtained by comprehensively considering the mixed interference degree and the travel time interference degree; the influence of road traffic capacity is evaluated according to the traffic capacity reduction coefficient; lane-level refined traffic capacity influence evaluation and quantitative evaluation of the influence of parking lot access activities on road traffic capacity are realized.

[0005] In order to achieve the above purpose, the present application is realized by the following technical scheme:

[0006] In a first aspect, the present invention provides a method for assessing the impact of parking lot entry and exit activities on road capacity, comprising:

[0007] Acquire spatiotemporal trajectory data of vehicles at parking lot entrances and exits, as well as on roads connecting to the parking lot entrances and exits;

[0008] According to the set distance, the connecting road is divided into segments along the length of the connecting road to obtain multiple cross-sections; combined with spatiotemporal trajectory data, the distribution curves of vehicles in different time periods within each cross-section are plotted.

[0009] Based on the distribution curve, the kurtosis of the distribution curve when there are no vehicles entering or leaving the parking lot and the kurtosis of the distribution curve when there are vehicles entering or leaving the parking lot are obtained; based on the difference between the two kurtosis values, the target lanes whose driving is affected by the movement of vehicles entering and leaving the parking lot are determined.

[0010] The degree of mixed interference is obtained from the area of ​​the distribution curve, and the degree of travel time interference is obtained from the travel time of each target lane; the capacity reduction factor is obtained by combining the degree of mixed interference and the degree of travel time interference.

[0011] The impact on road capacity is assessed based on the capacity reduction factor.

[0012] Furthermore, a Gaussian mixture distribution model is used to simulate the distribution curves of vehicle trajectories in a preset vehicle trajectory coordinate system at different time periods. The Gaussian mixture distribution model is as follows:

[0013] ;

[0014] in, This represents the probability density function of a mixture Gaussian distribution; Indicates vehicle type; Indicates the first The percentage of vehicle types; For the first Average distance of vehicle type from lane centerline; For the first Standard deviation of vehicle type from lane centerline; This indicates the distance between the vehicle and the center line of the lane.

[0015] Furthermore, the velocity of a certain lane The calculation formula is:

[0016] ;

[0017] ;

[0018] in, ndenotes the number of samples; denotes the distance of vehicle i to the center line of the lane; denotes the average distance to the center line of the lane; denotes the standard deviation of the distance to the center line of the lane.

[0019] Further, the mixed interference degree is the area of the curve overlap region generated by the trajectories of the in-and-out parking lot behaviors in the range of the trajectory distribution curve of each lane vehicle.

[0020] Further, the travel time interference degree calculation formula of each target lane is:

[0021] ;

[0022] wherein, denotes the travel time interference degree of the lane ; denotes the average travel time of the lane ; denotes the overall average travel time of the non-interference lane.

[0023] Further, the traffic capacity reduction coefficient calculation formula is as follows:

[0024] ;

[0025] wherein, is the traffic capacity reduction coefficient; is the mixed interference degree weight coefficient of the in-and-out parking lot; is the influence degree weight coefficient of the average travel time.

[0026] In a second aspect, the present application further provides an evaluation system for the influence of parking lot access activities on road traffic capacity, comprising:

[0027] a data acquisition module configured to acquire the space-time trajectory data of vehicles at the parking lot access and on the road connected with the parking lot access;

[0028] a distribution curve drawing module configured to segment the connected road in the length direction according to a set distance to obtain multiple sections, and draw the distribution curve of vehicles in each section at different time periods in combination with the space-time trajectory data;

[0029] a target lane determination module configured to obtain the kurtosis of the distribution curve without the in-and-out parking lot vehicles and the kurtosis of the distribution curve with the in-and-out parking lot vehicles according to the distribution curve, and determine the target lane affected by the movement of the in-and-out parking lot vehicles according to the difference between the two kurtosis;

[0030] The traffic capacity reduction coefficient determination module is configured to obtain a mixed interference degree according to an area of the distribution curve, and obtain a travel time interference degree according to travel times of the target lanes; and obtain the traffic capacity reduction coefficient by comprehensively considering the mixed interference degree and the travel time interference degree.

[0031] The evaluation module is configured to evaluate the influence of the road traffic capacity according to the traffic capacity reduction coefficient.

[0032] In a third aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the steps of the method for evaluating the influence of parking lot access activities on road traffic capacity according to the first aspect.

[0033] In a fourth aspect, the present application further provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the steps of the method for evaluating the influence of parking lot access activities on road traffic capacity according to the first aspect when executing the program.

[0034] In a fifth aspect, the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the method for evaluating the influence of parking lot access activities on road traffic capacity according to the first aspect.

[0035] Compared with the prior art, the present application has the following beneficial effects:

[0036] In the present application, first, the link road is segmented according to a set distance along the length direction of the link road to obtain multiple cross sections; distribution curves of vehicles in different time periods in each cross section are drawn in combination with space-time trajectory data; then, the kurtosis of the distribution curve without vehicles accessing the parking lot and the kurtosis of the distribution curve with vehicles accessing the parking lot are obtained according to the distribution curve; the target lane in which the vehicle driving is affected by the movement of the vehicle accessing the parking lot is determined according to the difference between the two kurtoses; finally, the mixed interference degree is obtained according to the area of the distribution curve, and the travel time interference degree is obtained according to the travel time of each target lane; the traffic capacity reduction coefficient is obtained by comprehensively considering the mixed interference degree and the travel time interference degree; the influence of the road traffic capacity is evaluated according to the traffic capacity reduction coefficient; the lane-level fine traffic capacity influence evaluation and the quantitative evaluation of the influence of the parking lot access activities on the road traffic capacity are realized. BRIEF DESCRIPTION OF DRAWINGS

[0037] The drawings constituting a part of this embodiment are used to provide a further understanding of the embodiment, and the schematic embodiment and its description are used to explain the embodiment, and do not constitute an improper limitation on the embodiment.

[0038] Figure 1 Method flow chart of embodiment 1 of the present application;

[0039] Figure 2 Motor vehicle space-time trajectory diagram of parking lot and connecting road of embodiment 1 of the present application;

[0040] Figure 3 Motor vehicle trajectory distribution curve of embodiment 1 of the present application, in which road vehicles are not affected by vehicles entering and leaving the parking lot;

[0041] Figure 4 Motor vehicle trajectory distribution curve of embodiment 1 of the present application, in which there is no parking lot entrance and exit;

[0042] Figure 5 Fitting results of vehicle space-time trajectory in different lanes of embodiment 1 of the present application;

[0043] Figure 6 Information of affected road sections in each time period calculated in embodiment 1 of the present application. DETAILED DESCRIPTION

[0044] The present application will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0046] Embodiment 1:

[0047] The present embodiment provides a method for evaluating the influence of parking lot access activities on road capacity. First, the space-time trajectory of individual vehicles entering and leaving the parking lot is extracted using video monitoring and GPS (Global Positioning System) data. Then, the motor vehicle trajectory point distribution curve is generated on the lane section, and the affected range of the connecting road is calculated by comparing with the distribution curve without vehicles entering and leaving, thereby realizing the quantitative calculation of the influence on road capacity.

[0048] The method in the present embodiment can be applied to road capacity and district traffic network carrying capacity, parking lot entrance and exit design, road section optimization, and traffic order management, etc. The method in the present embodiment can include the following steps:

[0049] S1, obtaining trajectory data.

[0050] Collecting the space-time position data of vehicles entering and leaving a parking lot to obtain individual vehicle space-time trajectory information. For example, Figure 2As shown, optionally, the spatiotemporal trajectories of motor vehicles entering and exiting parking lot a and passing normally through connecting road b can be generated using GPS point data, video data, or other data; wherein, the spatiotemporal trajectory of motor vehicles can be understood as displaying the driving path and speed changes of vehicles, and reflecting the relative positions and motion relationships between vehicles.

[0051] S2. For road segments with topological connections at parking lot entrances and exits, divide them into segments at a certain distance, select the cross-sections of each segment in turn, and use the Gaussian mixture distribution function to simulate the spatial distribution characteristics of motor vehicles in each lane at different times.

[0052] Optionally, the connecting road to the parking lot entrance / exit is selected, and cross-sections are created according to a set distance D. A series of spatiotemporal trajectory point information within each cross-section is integrated, and a Gaussian mixture model is used to plot the distribution curves of motor vehicles in the vehicle trajectory coordinate system for different time periods within each cross-section. The two coordinate axes of the vehicle trajectory coordinate system are perpendicular and parallel to the length direction of the connecting road, respectively. Specifically:

[0053] A Gaussian mixture model is used to simulate the distribution curves of vehicle trajectories in the vehicle trajectory coordinate system at different time periods, thereby analyzing the interference of traffic flow entering and exiting parking lots on normal traffic flow on the road. Figure 3 and Figure 4 As shown, vehicle trajectory distribution curve 1 represents the vehicle trajectory distribution curve when there is no impact from vehicles entering or exiting the parking lot, and vehicle trajectory distribution curve 2 represents the vehicle trajectory distribution curve in the scenario without parking lot entrances or exits. The Gaussian mixture distribution model is as follows:

[0054] ;

[0055] in, This represents the probability density function of a mixture Gaussian distribution, i.e. Figure 3 and Figure 4 The vertical axis represents the probability y of vehicle occurrence; Indicates vehicle type; Indicates the first The percentage of vehicle types; For the first Average distance of vehicle type from lane centerline; For the first Standard deviation of vehicle type from lane centerline; This indicates the distance of the vehicle from the center line of the lane. Figure 3 and Figure 4 The horizontal axis is represented.

[0056] By constructing a vehicle trajectory coordinate system, the distribution curves of motor vehicle trajectories for each time period can be plotted in the vehicle trajectory coordinate system using a Gaussian mixture distribution model. This facilitates subsequent analysis and evaluation of the impact of traffic flow entering and exiting parking lots on road traffic characteristics based on the distribution curves of motor vehicle trajectories for each time period.

[0057] When vehicles are affected by other vehicles entering and exiting parking lots, they cannot maintain normal driving behavior. Passing through parking lot entrances and exits, they exhibit a series of deceleration and lane-changing behaviors, leading to a series of unstable states. This makes it difficult for the spatiotemporal trajectory generated during vehicle movement to follow a relatively stable spatiotemporal distribution. When vehicles strictly follow the lane markings, the distribution of the vehicle's GPS trajectory across the lane cross-section follows a normal distribution, such as... Figure 4 As shown; Figure 2 As shown, when the GPS spatiotemporal trajectory points on the lane cannot form a normally distributed curve on the road cross section, that is, when the distribution curve is difficult to fit a normal distribution, it is considered that the vehicles traveling in the lane are affected by vehicles entering and leaving the parking lot.

[0058] Within a given time period, the road segment is divided into segments of specified length. Then, the spatial distribution of motor vehicle spatiotemporal trajectories within each segment is fitted with a normal distribution to determine if it satisfies the conditions for a normal distribution. Optional, such as... Figure 5 As shown, the spatiotemporal trajectory of the vehicle is fitted in different lanes, and the... Figure 2 The road is divided into eight sections according to distance: S1, S2, S3, S4, S5, S6, S7, and S8. The road contains three lanes: C1, C2, and C3. The distribution curves of the three lanes on each section are obtained.

[0059] Based on the fitting results, calculate the skewness and kurtosis of the distribution. Skewness measures the symmetry of the data distribution. When the skewness is close to 0, the data distribution is symmetrical and may conform to a normal distribution; when the skewness is significantly far from 0, the data distribution is asymmetrical and does not conform to a normal distribution. Kurtosis measures the kurtosis of the data distribution. When the kurtosis is close to 3, the shape of the data distribution is close to a normal distribution.

[0060] In this embodiment, the kurtosis is calculated by calculating the curve distribution under conditions of no vehicles entering or exiting the parking lot, and under conditions of vehicles entering or exiting the parking lot during other time periods. The kurtosis is then calculated using... and Represented. Kurtosis The following formula can be used for calculation:

[0061] ;

[0062] ;

[0063] in,n Indicates the number of samples; Indicates vehicle i Distance from the center line of the lane; This represents the average distance from the center line of the lane. This represents the standard deviation of the distance from the center line of the lane.

[0064] When the difference between the kurtosis values ​​calculated in the two cases is greater than 3, it indicates that the driving of vehicles in the lane is affected by the movement of vehicles entering and exiting the parking lot.

[0065] S3. Based on the spatiotemporal distribution characteristics of motor vehicles entering and exiting the parking lot at different times, calculate the conflict areas caused by vehicles entering and exiting the parking lot.

[0066] like Figure 6 As shown, the affected road segment information is calculated for each time period. Optionally, by calculating the affected area, the specific impact range of vehicles entering and exiting the parking lot on the traffic capacity of connecting roads can be obtained for different time periods.

[0067] The area of ​​the overlapping region generated by the trajectories of vehicles entering and exiting the parking lot is calculated within the range of the vehicle trajectory distribution curves drawn based on the Gaussian mixture distribution model. The calculation of the overlapping region area is the degree of mixture interference. The specific calculation formula is as follows:

[0068] ;

[0069] in, For the first The degree to which motor vehicles in each lane are affected by the behavior of entering and exiting the parking lot; The area of ​​the superposition of the fitted curves of the two types of vehicles in different lanes represents the degree of mixing of the two types of motor vehicles.

[0070] Based on a comparative analysis of lane travel data from parking lot entry / exit behavior and non-interfering lanes, the degree of travel time interference for each target lane is determined. Specifically, this embodiment obtains the travel time of all vehicles in each lane within the study area and calculates the average travel time for each lane using the arithmetic mean. Then, through filtering and grouping, the average travel time of the lanes affected by parking lot entry / exit behavior, i.e., the target lanes, is identified. and the overall average travel time of the non-interference lane. Non-interference lanes are all lanes except the target lane. Then, based on average travel time... Compared with the overall average travel time By calculating the relative differences, the degree of travel time interference of the target lane can be obtained, which reflects the additional time burden caused by the behavior of entering and exiting the parking lot on the traffic efficiency of the target lane.

[0071] Optionally, the degree of travel time interference for each target lane can be calculated using the following formula:

[0072] ;

[0073] in, lane The degree of disruption to travel time; lane Average travel time; This indicates the overall average travel time of the non-interfering lane.

[0074] S4. Based on the spatiotemporal trajectory characteristics of vehicles within the conflict area, calculate the vehicle speed information within the conflict area and determine the capacity reduction of the conflict range between the parking lot entrance / exit and the connecting road.

[0075] Optionally, the main reasons for reduced traffic capacity include interference from mixed traffic of vehicles entering and exiting parking lots. The higher the degree of mixing, the greater the interference on traffic capacity. Normal driving vehicles are affected by interference, causing changes in driving behavior such as slowing down or queuing, resulting in travel delays. Taking into account the influence of the above two factors, the formula for calculating the traffic capacity reduction factor affected by parking lot entry and exit behavior is as follows:

[0076] ;

[0077] in, This is the capacity reduction factor; The weighting coefficient for the degree of mixed interference when entering and exiting the parking lot; This represents the weighting coefficient for the impact of average travel time. and The entropy weight method is used for calculation, and the calculation steps are as follows:

[0078] S4.1 Normalization of index values:

[0079] Optionally, the data for each indicator can be normalized. The indicators are as follows:

[0080] ;

[0081] The normalized values ​​for each indicator are:

[0082] ;

[0083] S4.2, Calculate the first... The first indicator The weighting of each item's indicator value:

[0084] ;

[0085] S4.3, Calculate the first... Entropy value of the item indicator:

[0086] According to the definition of information entropy in information theory, the information entropy of a set of data is:

[0087] ;

[0088] in, For the total sample size, Indicates the first The entropy value of the indicator.

[0089] Step 4: Calculate the weights of each indicator:

[0090] ;

[0091] in, For the first The entropy value of the indicator; For indicator items; For the number of indicators, For the first The weight of each indicator.

[0092] Example 2:

[0093] An assessment system for the impact of parking lot entry and exit activities on road capacity includes:

[0094] The data acquisition module is configured to acquire spatiotemporal trajectory data of vehicles at the parking lot entrance and exit, as well as on the roads connecting to the parking lot entrance and exit.

[0095] The distribution curve drawing module is configured to: divide the connecting road into segments along the length of the connecting road according to a set distance to obtain multiple cross-sections; and combine the spatiotemporal trajectory data to draw the distribution curves of vehicles in different time periods within each cross-section.

[0096] The target lane determination module is configured to: obtain the kurtosis of the distribution curve when there are no vehicles entering or leaving the parking lot, and the kurtosis of the distribution curve when there are vehicles entering or leaving the parking lot, based on the distribution curve; and determine the target lane whose driving is affected by the movement of vehicles entering or leaving the parking lot based on the difference between the two kurtosis values.

[0097] The capacity reduction factor determination module is configured to: obtain the mixed interference level based on the area of ​​the distribution curve, and obtain the travel time interference level based on the travel time of each target lane; and obtain the capacity reduction factor by combining the mixed interference level and the travel time interference level.

[0098] The assessment module is configured to assess the impact on road capacity based on the capacity reduction factor.

[0099] The working method of the system is the same as the assessment method of the impact of parking lot entry and exit activities on road capacity in Embodiment 1, and will not be repeated here.

[0100] Example 3:

[0101] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for assessing the impact of parking lot entry and exit activities on road capacity as described in Embodiment 1.

[0102] Example 4:

[0103] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, it implements the steps of the method for assessing the impact of parking lot entry and exit activities on road capacity as described in Embodiment 1.

[0104] Example 5:

[0105] This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the method for assessing the impact of parking lot entry and exit activities on road traffic capacity as described in Embodiment 1.

[0106] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for assessing the impact of parking lot entry and exit activities on road capacity, characterized in that, include: Acquire spatiotemporal trajectory data of vehicles at parking lot entrances and exits, as well as on roads connecting to the parking lot entrances and exits; According to the set distance, the connecting road is divided into segments along the length of the connecting road to obtain multiple cross-sections; combined with spatiotemporal trajectory data, the distribution curves of vehicles in different time periods in each cross-section are plotted; the spatial distribution of motor vehicle spatiotemporal trajectories in the cross-section is fitted with a normal distribution to obtain the distribution curves of all lanes in each cross-section; based on the fitting results, the skewness and kurtosis of the distribution are calculated to determine whether it can meet the conditions of a normal distribution; when the distribution curve is difficult to fit a normal distribution, the vehicles traveling in that lane are affected by vehicles entering and exiting the parking lot. Based on the distribution curve, the kurtosis of the distribution curve when no vehicles are entering or exiting the parking lot, and the kurtosis of the distribution curve when vehicles are entering or exiting the parking lot, are obtained. Based on the difference between the two kurtosis values, the target lanes whose driving is affected by the movement of vehicles entering and exiting the parking lot are determined. The calculation formula is: ； ； in, n Indicates the number of samples; This indicates the distance of vehicle i from the center line of the lane; This represents the average distance from the center line of the lane. This represents the standard deviation of the distance from the lane centerline; The degree of mixed interference is obtained from the area of ​​the distribution curve, and the degree of travel time interference is obtained from the travel time of each target lane; the capacity reduction factor is obtained by combining the degree of mixed interference and the degree of travel time interference. The impact on road capacity is assessed based on the capacity reduction factor.

2. The method for assessing the impact of parking lot entry and exit activities on road capacity as described in claim 1, characterized in that, A Gaussian mixture model is used to simulate the distribution curves of vehicle trajectories in a preset vehicle trajectory coordinate system at different time periods. The Gaussian mixture model is as follows: ； in, This represents the probability density function of a mixture Gaussian distribution; Indicates vehicle type; Indicates the first The percentage of vehicle types; For the first Average distance of vehicle type from lane centerline; For the first Standard deviation of vehicle type from lane centerline; This indicates the distance between the vehicle and the center line of the lane.

3. The method for assessing the impact of parking lot entry and exit activities on road capacity as described in claim 1, characterized in that, The degree of mixed interference refers to the area of ​​overlapping curves generated by the vehicle trajectory distribution curves in each lane, where there are curves that overlap due to the vehicle's entry and exit from the parking lot.

4. The method for assessing the impact of parking lot entry and exit activities on road capacity as described in claim 1, characterized in that, The formula for calculating the degree of travel time interference for each target lane is as follows: ； in, lane The degree of disruption to travel time; lane Average travel time; This indicates the overall average travel time of the non-interfering lane.

5. The method for assessing the impact of parking lot entry and exit activities on road capacity as described in claim 1, characterized in that, The formula for calculating the capacity reduction factor is as follows: ； in, This is the capacity reduction factor; The weighting coefficient for the degree of mixed interference when entering and exiting the parking lot; This is the weighting coefficient for the impact of average travel time.

6. An assessment system for the impact of parking lot entry and exit activities on road capacity, characterized in that, include: The data acquisition module is configured to acquire spatiotemporal trajectory data of vehicles at the parking lot entrance and exit, as well as on the roads connecting to the parking lot entrance and exit. The distribution curve drawing module is configured to: divide the connecting road into segments along the length of the connecting road according to a set distance to obtain multiple cross-sections; combine spatiotemporal trajectory data to draw the distribution curves of vehicles in different time periods within each cross-section; fit the spatial distribution of the spatiotemporal trajectory of motor vehicles within the cross-section to a normal distribution to obtain the distribution curves of the three lanes on each cross-section; calculate the skewness and kurtosis of the distribution based on the fitting results to determine whether it can meet the conditions of a normal distribution; when the distribution curve is difficult to fit a normal distribution, the vehicles traveling in that lane are affected by vehicles entering and exiting the parking lot. The target lane determination module is configured to: obtain the kurtosis of the distribution curve when no vehicles are entering or exiting the parking lot, and the kurtosis of the distribution curve when vehicles are entering or exiting the parking lot, based on the distribution curve; determine the target lane whose driving is affected by the movement of vehicles entering and exiting the parking lot based on the difference between the two kurtosis values; kurtosis The calculation formula is: ； ； in, n Indicates the number of samples; This indicates the distance of vehicle i from the center line of the lane; This represents the average distance from the center line of the lane. This represents the standard deviation of the distance from the lane centerline; The capacity reduction factor determination module is configured to: obtain the mixed interference level based on the area of ​​the distribution curve, and obtain the travel time interference level based on the travel time of each target lane; and obtain the capacity reduction factor by combining the mixed interference level and the travel time interference level. The assessment module is configured to assess the impact on road capacity based on the capacity reduction factor.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the steps of the method for assessing the impact of parking lot entry and exit activities on road capacity as described in any one of claims 1-5.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor executes the program, it implements the steps of the method for assessing the impact of parking lot entry and exit activities on road capacity as described in any one of claims 1-5.

9. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the method for assessing the impact of parking lot entry and exit activities on road capacity as described in any one of claims 1-5.

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