A Congestion Analysis Method and System Based on Vehicle Operating Status

Abstract

This invention relates to the field of intelligent transportation technology and provides a congestion analysis method and system based on vehicle operating status. The congestion analysis method and system provided by this invention establishes intermittent flow operation models and continuous flow operation models, combines interfering vehicles into operating units, and performs combined analysis to obtain the traffic volume and the speed and density of moving units on a road segment based on the current traffic flow state. Furthermore, the road segment is segmented into sections to analyze changes in traffic volume and moving unit density. Based on the analysis results, the road congestion status is determined, thus solving the problems that current simple average traffic speed cannot accurately represent congestion, and that the calculation of the capacity of intersections and road segments is also relatively idealized, subject to many disturbance factors, and cannot closely reflect reality.

Description

Technical Field

[0001] This invention belongs to the field of intelligent transportation technology, and in particular relates to a congestion analysis method and system based on vehicle operating status. Background Technology

[0002] With the increasing maturity of 5G communication technology and road infrastructure, a lot of traffic data that was previously unavailable can now be collected, which plays a significant role in refining and improving the accuracy of traffic condition identification.

[0003] When the inflow of traffic to a certain road segment exceeds the outflow, vehicles may wait for the next signal cycle before attempting to pass through. As the number of vehicles in the queue increases, the road resources occupied also increase. This will affect the speed of traffic entering the segment from the upstream exit lane, gradually reducing the speed until vehicles stop and wait. When the carrying capacity of the road segment cannot meet the cumulative value, overflow will occur, meaning that vehicles at the upstream intersection will be unable to enter normally. This will cause traffic congestion to gradually spread from a single point to a wider area, resulting in congestion.

[0004] In existing technologies, simple average traffic speeds cannot accurately represent congestion, and the calculation of intersection and road segment capacity is also relatively idealized, subject to many disturbance factors, and cannot closely reflect reality. In addition, using the difference in traffic flow between upstream and downstream intersections cannot describe the phenomenon of non-conservation of traffic volume when there are entrances and exits within the road segment, or the situation where internal disturbances cause congestion within the road segment, making it impossible to identify congestion. Summary of the Invention

[0005] The purpose of this invention is to provide a congestion analysis method and system based on vehicle operating status, aiming to solve the technical problems mentioned in the background.

[0006] To achieve the above objectives, the present invention provides the following technical solution.

[0007] In a first aspect, in one embodiment of the present invention, a congestion analysis method based on vehicle operating status is provided, the congestion analysis method comprising the following steps:

[0008] Obtain traffic trajectory data;

[0009] The traffic trajectory data is fitted based on the road segment vehicle operation model to obtain the movement trajectory of the road segment vehicles; the operation trend of traffic flow is analyzed through the movement trajectory of the road segment vehicles to distinguish between intermittent flow and continuous flow with mutual interference.

[0010] Establish intermittent flow operation model and continuous flow operation model, combine interfering vehicles into operation units and perform combined analysis to obtain the traffic volume and the speed and density of the moving units of the road segment based on the current traffic flow state;

[0011] The road segment is divided into sections, and the changes in traffic volume and movement unit density are analyzed. Based on the analysis results, the congestion status is output.

[0012] Furthermore, the step of distinguishing between intermittent flow and mutually interfering continuous flow includes:

[0013] When the distance between the two vehicles Long-term exposure to the impact of spacing minimum safety distance In between, This indicates that two vehicles that influence each other are within the same traffic flow element. If the vehicle behind... All satisfied If , it indicates a continuous flow that is mutually interfering;

[0014] Expand the elements within the traffic flow element until the occurrence of... If so, it is considered to be an intermittent flow.

[0015] Furthermore, the steps of dividing the road segment into sections, analyzing changes in traffic volume and movement unit density, and outputting the congestion status based on the analysis results include:

[0016] Based on the unit time, a cross-sectional analysis parallel to the X-axis is performed on the entire road segment to determine whether there is negative accumulation in the road segment's traffic flow;

[0017] If it exists, traverse the cross-sections in the downstream direction in turn to determine the traffic flow transition cross-sections;

[0018] The upstream intersection cycle is selected as the calculation unit time. The total traffic volume passing through the traffic flow operation transition section in one calculated unit time is compared with the traffic flow in the previous calculated unit time before the traffic flow operation transition section. The congestion status is judged based on the comparison result.

[0019] Furthermore, the step of performing cross-sectional analysis of the entire road segment parallel to the X-axis based on a unit time to determine whether there is negative traffic accumulation in the road segment includes:

[0020] Obtain the unit time for upstream and downstream of each cross-section. Passable flow and motion density per unit time Calculate the change in motion state based on the swing value on the Y-axis at time t. :

[0021] ;

[0022] determination :

[0023] when When the value is greater than 0, traffic flow is considered to be positive and without congestion.

[0024] when When the value is less than 0, it is considered that there is negative accumulation in traffic flow, that is, accumulation in the opposite direction to the flow.

[0025] Furthermore, the step of determining the traffic flow operation transition section includes:

[0026] When the target cross section <0, sequentially traverse the cross-sections in the downstream direction. ,Will The cross-section with the value closest to 0 is the traffic flow operation transition cross-section.

[0027] Furthermore, the step of determining the congestion status based on the comparison results includes:

[0028] The difference between the total traffic volume passing through the traffic flow transition section in one calculated unit time and the traffic flow volume in the previous calculated unit time before the traffic flow transition section is calculated. If the difference is greater than 0, it indicates that there is a continuous accumulation of traffic volume.

[0029] Furthermore, the step of determining the congestion status based on the comparison results also includes:

[0030] The cumulative value of the difference over multiple periods is compared with the road carrying capacity value. When the cumulative value of the difference is greater than the road carrying capacity value, it indicates that there is severe traffic congestion on the road section, which has affected the passage of the upstream intersection.

[0031] Furthermore, the step of fitting the traffic trajectory data based on the road segment vehicle operation model to obtain the movement trajectory of the vehicles on the road segment includes:

[0032] By linking traffic volume identification data at road segment entrances and exits with road network data, an overall road network structure model is formed; a two-dimensional coordinate system is constructed for each road segment, and the vehicle's trajectory is described by calibrating the vehicle's centroid and coordinate changes.

[0033] Secondly, in another embodiment provided by the present invention, a congestion analysis system based on vehicle operating status is provided, the congestion analysis system comprising:

[0034] The data acquisition module is used to acquire traffic trajectory data;

[0035] The data processing module is used to fit the traffic trajectory data based on the road segment vehicle operation model to obtain the movement trajectory of the road segment vehicles.

[0036] The first analysis module is used to analyze the traffic flow operation status by analyzing the movement trajectory of vehicles on the road segment, and to distinguish between intermittent flow and continuous flow that interferes with each other.

[0037] The second analysis module is used to establish intermittent flow operation model and continuous flow operation model, and to combine and analyze mutually interfering vehicles as operation units to obtain the traffic volume and the speed and density of the movement units of the road segment based on the current traffic flow state.

[0038] The third analysis module is used to divide the road segment into sections, analyze the changes in traffic volume and movement unit density, and output the congestion status based on the analysis results.

[0039] Furthermore, the third analysis module includes:

[0040] The cross-section analysis unit is used to perform cross-section analysis of the entire road segment parallel to the X-axis based on a unit time, and to determine whether there is negative accumulation in the traffic flow of the road segment; if so, it sequentially traverses the cross-sections in the downstream direction to determine the traffic flow conversion cross-section.

[0041] The comparison output unit is used to select the upstream intersection cycle as the calculation unit time, and compare the total traffic volume passing through the traffic flow operation transition section in one calculated unit time with the traffic flow in the previous calculated unit time before the traffic flow operation transition section, and determine the congestion status based on the comparison result.

[0042] Compared with existing technologies, the congestion analysis method and system based on vehicle operating status provided by this invention establishes intermittent flow operation models and continuous flow operation models, combines interfering vehicles into operating units and performs combined analysis to obtain the traffic volume and the speed and density of moving units of the road segment based on the current traffic flow state; further, the road segment is divided into sections to analyze the changes in traffic volume and moving unit density, and the road congestion status is determined based on the analysis results. This solves the problems that the current simple average traffic speed cannot accurately represent the congestion situation, and the calculation of the traffic capacity of intersections and road segments is also relatively idealized, with many disturbance factors, and cannot well reflect reality. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention.

[0044] Figure 1 This is a flowchart illustrating the implementation of a congestion analysis method based on vehicle operating status, as provided in Embodiment 1 of the present invention.

[0045] Figure 2 This is a schematic diagram of the simulated plane coordinate system for a road segment in Embodiment 1 of the present invention;

[0046] Figure 3 This is a structural block diagram of a congestion analysis system based on vehicle operating status provided in Embodiment 2 of the present invention;

[0047] Figure 4 This is a structural block diagram of the third analysis module provided in Embodiment 2 of the present invention;

[0048] Figure 5 This is a structural block diagram of an electronic device provided in Embodiment 3 of the present invention. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0050] Currently, in road congestion analysis techniques, simply using average traffic speed cannot accurately represent congestion. Furthermore, the calculation of intersection and road segment capacity is rather idealized, influenced by numerous disturbances, and fails to accurately reflect reality. Additionally, using the difference in traffic flow between upstream and downstream intersections cannot describe the non-conservation of traffic volume when there are entrances and exits within a road segment, or situations where internal disturbances cause congestion that cannot be identified.

[0051] Therefore, to solve the above problems, the present invention provides a congestion analysis method and system based on vehicle operation status. By establishing intermittent flow operation model and continuous flow operation model, mutually interfering vehicles are combined into operation units and analyzed together to obtain the traffic volume and the speed and density of the moving units of the road segment based on the current traffic flow status. Furthermore, the road segment is divided into sections to analyze the changes in traffic volume and the density of moving units, and the road congestion status is determined based on the analysis results.

[0052] The specific implementation of the present invention will be described in detail below with reference to specific embodiments. Example

[0053] like Figure 1 As shown in the embodiment of the invention, a congestion analysis method based on vehicle operating status includes the following steps:

[0054] Step S101: Obtain traffic trajectory data;

[0055] Step S102: Based on the road segment vehicle operation model, perform data fitting on the traffic trajectory data to obtain the movement trajectory of the vehicles on the road segment;

[0056] Step S103: Analyze the traffic flow trend by analyzing the movement trajectory of vehicles on the road segment, and distinguish between intermittent flow and continuous flow that interferes with each other;

[0057] Step S104: Establish intermittent flow operation model and continuous flow operation model, combine interfering vehicles into operation units and perform combined analysis to obtain the traffic volume and speed and density of movement units of the road segment based on the current traffic flow state.

[0058] Step S105: Divide the road segment into sections, analyze the changes in traffic volume and movement unit density, and output the congestion status based on the analysis results.

[0059] In the process of acquiring traffic trajectory data, it is necessary to install a data collector to collect data. Generally, the urban road network structure is a mesh structure composed of road segments and intersections. The spacing between intersections is generally about 500 meters, but it may be shorter or longer for special road segments. The effective detection range of radar detectors is generally about 200-500 meters. On road segments of about 500 meters in length, two reverse detectors are usually set in the middle of the road to perform bidirectional detection. The trajectory is then fitted and stitched together to obtain the vehicle's running data within the entire road segment. For longer road segments, the number of detectors can be increased according to the effective distance of the equipment.

[0060] In a specific implementation of the congestion analysis method provided by this invention, a radar detection device is installed in the middle section of the road segment to acquire traffic trajectory data; intersection turning data and road segment entrance and exit traffic data are fitted by constructing a road segment vehicle operation model; the traffic flow operation status is analyzed through traffic trajectory analysis to distinguish between intermittent flow and mutually interfering continuous flow; an intermittent flow model is established; an operation model for interfering continuous flow is established, and mutually interfering vehicles are combined as operation units for combined analysis to obtain the road segment's cross-sectional segmentation based on the current traffic flow state's traffic volume and the speed and density of movement units; the trend of congestion changes is described by establishing changes in traffic volume and movement unit density; and the periodic traffic behavior and the occasional traffic behavior that may cause congestion are analyzed in conjunction with intersection data information to distinguish their impact on the overall road network.

[0061] like Figure 2As shown in the embodiments of the present invention, the basis for obtaining traffic trajectory data is to establish a simulated plane coordinate system for road segments. Since urban roads have many entrances and exits within road segments compared to highways, the degree of interference with traffic is greater. Therefore, considering the impact of entrances and exits on traffic within road segments, it is necessary to combine the traffic volume identification data of road segment entrances and exits with the road network data to form an overall road network structure model.

[0062] Specifically, for a given road segment, a two-dimensional coordinate system is constructed, and the trajectory of the target object is described by calibrating its centroid and coordinate changes; the entire target object is projected onto the Y-axis, and its length represents the amount of road resources it occupies, along with a traffic volume conversion factor. It can be used to improve calculation accuracy. For the projected vehicle length, The standard length of the projection for a standard passenger car.

[0063] In this embodiment of the invention, during the process of establishing the traffic flow model and parameters:

[0064] The first step is traffic flow pattern recognition. For traffic flow pattern recognition, the first step is to analyze the trajectory of traffic. Different flow patterns are identified based on the mutual interference and operating status of traffic vehicles, and then the occurrence of traffic congestion is analyzed.

[0065] Secondly, lane-based operation analysis is performed. In lane-based operation analysis, the first... Section No. Lane No. 1 Car number and Dynamic spacing between vehicles:

[0066] ;

[0067] in, , They are respectively the first time at time t Section No. Lane No. 1 Car number and The value of the Y-coordinate corresponding to vehicle number 1;

[0068] For a single vehicle (the first The following parameters are calculated based on the trajectory changes of vehicle number 1. express Rate of change of Y-coordinate value over the time period:

[0069] ;

[0070] .

[0071] Furthermore, the distinction between intermittent flow and disturbed continuous flow is as follows:

[0072] When the distance between the two vehicles Long-term exposure to the impact of spacing minimum safety distance In between, This indicates that two vehicles that influence each other are within the same traffic flow element. If the vehicle behind... All satisfied If , it indicates a continuous flow that is mutually interfering;

[0073] Expand the elements within the traffic flow element until the occurrence of... If so, it is considered to be an intermittent flow.

[0074] The specific explanation is: According to existing theories, vehicles tend to follow each other when the distance between them is small; when the distance between the two vehicles is large... When the distance is between the impact distance and the minimum safe distance for an extended period, the possibility of vehicles following each other should be considered. At this point, it is assumed that the two vehicles that are affecting each other are within the same traffic flow element. If the following vehicle... All satisfied Then expand the elements within the traffic flow element until the occurrence of... At this point, the vehicle is considered to be operating independently, meaning it is freely moving between itself and the vehicle in front without mutual interference, thus affecting the distance. minimum safety distance (at this time The minimum stopping distance for a typical vehicle (the minimum distance between vehicles when they are stopped) is calculated as follows:

[0075] ;

[0076] ;

[0077] In progress During the calculation, n groups of stationary vehicles are selected on the selected road segment, and the average static spacing is calculated.

[0078] Furthermore, in this embodiment of the invention, calculating the intermittent flow operating parameters includes:

[0079] Since intermittent flows do not interfere with each other, their flow density and velocity can be expressed as follows: the number of vehicles passing through per unit time is the flow rate.

[0080] ;

[0081] Furthermore, in this embodiment of the invention, the operating parameters of the disturbed continuous flow are calculated:

[0082] The two vehicles that affect each other's movement are set up as an independent operating unit. The vehicles thereafter are judged in sequence. If the conditions are met, it will be incorporated into the operating unit. The number of calculations performed is Calculate the interference. The motion density of continuous flow per unit time in each lane ,until Exit calculation:

[0083] ;

[0084] The overall traffic density of the road section is as follows:

[0085] ;

[0086] No. The speed of continuous flow per unit time in each lane interference :

[0087] ;

[0088] Calculate the unit operating flow rate for each independent operating unit. Here, the flow rate is based on the traffic volume passing through the corridor under the traffic flow operating conditions per unit time. :

[0089] ;

[0090] By traversing multiple operating units and identifying the overall traffic flow, and considering that each operating unit travels in the same lane, a weighted calculation is performed to obtain the overall traffic volume of the train. Here, k represents the total number of lanes at the calculated location. For the first The s-th operating unit on each lane:

[0091] ;

[0092] The frequent starts and stops of vehicles on the road segment increase the wavelength of vehicle waves, resulting in a delay in the speed change from deceleration to a stop and then acceleration. Therefore, the motion parameter relationship of the disturbed continuous flow under the operating delay is established as follows:

[0093]

[0094] ;

[0095] This relationship characterizes the relatively delayed reaction of the following vehicle compared to the preceding vehicle. Its operational state is directly proportional to the distance between the two vehicles and inversely proportional to their speeds. That is, the faster the speed, the faster the driver of the following vehicle reacts, and the shorter their reaction time. Conversely, the longer the distance between the two vehicles, the slower the driver's reaction time, and the greater the reaction time value. This represents the maximum vehicle speed within the road segment and can be iterated upon based on updates to the front-end data. The adjustment coefficients can be obtained from the remaining parameters.

[0096] Furthermore, the steps of dividing the road segment into sections, analyzing changes in traffic volume and movement unit density, and outputting the congestion status based on the analysis results include:

[0097] Based on the unit time, a cross-sectional analysis parallel to the X-axis is performed on the entire road segment to determine whether there is negative accumulation in the road segment's traffic flow;

[0098] If it exists, traverse the cross-sections in the downstream direction in turn to determine the traffic flow transition cross-sections;

[0099] The upstream intersection cycle is selected as the calculation unit time. The total traffic volume passing through the traffic flow operation transition section in one calculated unit time is compared with the traffic flow in the previous calculated unit time before the traffic flow operation transition section. The congestion status is judged based on the comparison result.

[0100] Furthermore, the step of performing cross-sectional analysis of the entire road segment parallel to the X-axis based on a unit time to determine whether there is negative traffic accumulation in the road segment includes:

[0101] Obtain the unit time for upstream and downstream of each cross-section. Passable flow and motion density per unit time Calculate the change in motion state based on the swing value on the Y-axis at time t. :

[0102] ;

[0103] determination :

[0104] when When the value is greater than 0, traffic flow is considered to be positive and without congestion.

[0105] when When the value is less than 0, it is considered that there is negative accumulation in traffic flow, that is, accumulation in the opposite direction to the flow.

[0106] Furthermore, the step of determining the traffic flow operation transition section includes:

[0107] When the target cross section <0, sequentially traverse the cross-sections in the downstream direction. ,Will The cross-section with the value closest to 0 is the traffic flow operation transition cross-section.

[0108] Furthermore, the step of determining the congestion status based on the comparison results includes:

[0109] The difference between the total traffic volume passing through the traffic flow transition section in one calculated unit time and the traffic flow volume in the previous calculated unit time before the traffic flow transition section is calculated. If the difference is greater than 0, it indicates that there is a continuous accumulation of traffic volume.

[0110] Furthermore, the step of determining the congestion status based on the comparison results also includes:

[0111] The cumulative value of the difference over multiple periods is compared with the road carrying capacity value. When the cumulative value of the difference is greater than the road carrying capacity value, it indicates that there is severe traffic congestion on the road section, which has affected the passage of the upstream intersection.

[0112] Furthermore, the step of fitting the traffic trajectory data based on the road segment vehicle operation model to obtain the movement trajectory of the vehicles on the road segment includes:

[0113] By linking traffic volume identification data at road segment entrances and exits with road network data, an overall road network structure model is formed; a two-dimensional coordinate system is constructed for each road segment, and the vehicle's trajectory is described by calibrating the vehicle's centroid and coordinate changes.

[0114] Therefore, the congestion analysis method based on vehicle operating status provided in this embodiment of the invention obtains the coordinates of vehicles at the entrances and exits of a road segment during congestion analysis; based on the changes in the operating coordinates of each vehicle, the vehicle's speed over a short period of time and the distribution of vehicles on the road can be obtained; in the process of calculating the operating parameters within the road segment, the entire road segment is analyzed in cross-section parallel to the X-axis based on unit time, and the upstream and downstream unit time of each cross-section is obtained. Passable flow and motion density per unit time The swing value on the Y-axis at time t (the value is updated with time t), and the change in motion state is calculated. :

[0115] ;

[0116] determination ,when When the value is greater than 0, traffic flow can be considered to be positive and without congestion. When the value is less than 0, it is considered that there is negative accumulation in traffic flow, that is, accumulation in the opposite direction to the flow.

[0117] Calculation of cumulative value and carrying capacity value:

[0118] When a certain cross section <0, sequentially traverse the cross-sections in the downstream direction. The value will gradually increase to 0, and the cross-section closest to 0 is the traffic flow operation transition cross-section (which can be approximated as the extreme value of the function). Its location may shift depending on the internal traffic conditions of the road segment, requiring the storage of the cross-section's Y-axis coordinate value. Here, the Y-axis coordinate is... Indicates the first Within the first section of the road Each traffic flow operation conversion section, with Update traffic flow operation transition section points.

[0119] Select the upstream intersection period as the calculation unit time. The calculated unit time after the traffic flow crosses the traffic flow transition section. Total traffic volume passing through

[0120] Traffic flow in the unit time calculated before the traffic flow operation transition section In comparison, if the difference A value greater than 0 will result in a continuous accumulation of traffic.

[0121] Cumulative value over multiple periods and carrying capacity value as follows, The cumulative number of periods:

[0122] ;

[0123] ;

[0124] like > This will cause severe traffic congestion and has already affected traffic flow at the upstream intersection, using parameters. Characterizes the rate at which congestion occurs.

[0125] Example 2

[0126] like Figure 3 As shown, in Embodiment 2 of the present invention, a congestion analysis system based on vehicle operating status is provided, the congestion analysis system comprising:

[0127] Data acquisition module 201, the data acquisition module is used to acquire traffic trajectory data;

[0128] Data processing module 202 is used to perform data fitting on the traffic trajectory data based on the road segment vehicle operation model to obtain the movement trajectory of the road segment vehicles;

[0129] The first analysis module 203 is used to analyze the traffic flow operation status through the movement trajectory of vehicles on the road segment, and to distinguish between intermittent flow and continuous flow that interferes with each other.

[0130] The second analysis module 204 is used to establish intermittent flow operation model and continuous flow operation model, link mutually interfering vehicles into operation units and perform combined analysis to obtain the traffic volume and the speed and density of the movement units of the road segment based on the current traffic flow state.

[0131] The third analysis module 205 is used to divide the road segment into sections, analyze the changes in traffic volume and movement unit density, and output the congestion status based on the analysis results.

[0132] Furthermore, such as Figure 4 As shown, in this embodiment of the invention, the third analysis module includes:

[0133] The cross-section analysis unit 2051 is used to perform cross-section analysis of the entire road segment parallel to the X-axis based on a unit time, and to determine whether there is negative accumulation in the traffic operation of the road segment; if so, it sequentially traverses the cross-sections in the downstream direction to determine the traffic flow operation conversion cross-section.

[0134] The comparison output unit 2052 is used to select the upstream intersection cycle as the calculation unit time, and compare the total traffic volume passing through the traffic flow operation transition section in one calculated unit time with the traffic flow in the previous calculated unit time before the traffic flow operation transition section, and judge the congestion status based on the comparison result.

[0135] In summary, the congestion analysis method and system based on vehicle operating status provided by this invention establishes intermittent flow operation models and continuous flow operation models, combines interfering vehicles into operating units, and performs combined analysis to obtain the traffic volume and the speed and density of moving units of a road segment based on the current traffic flow state. Furthermore, the road segment is segmented into sections to analyze the changes in traffic volume and moving unit density. Based on the analysis results, the road congestion status is determined, thereby solving the problems that the current simple average traffic speed cannot accurately represent congestion, and the calculation of the traffic capacity of intersections and road segments is also relatively idealized, subject to many disturbance factors, and cannot well reflect reality. Example

[0136] like Figure 5 As shown, in this embodiment of the invention, a computer device 300 is provided, including a processor 302 and a memory 301. The memory 301 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 302, the steps of the congestion analysis method based on vehicle operating status provided in Embodiment 1 are performed. Example

[0137] In this embodiment of the invention, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, it performs the steps of the congestion analysis method based on vehicle operating status provided in Embodiment 1.

[0138] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0139] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0140] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0141] In a typical configuration of an embodiment of the present invention, the terminal, the service network device, and the computing device include one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0142] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0143] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data.

[0144] Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media do not include non-transitory computer-readable media, such as modulated data signals and carrier waves.

[0145] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is merely an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0146] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

[0147] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The embodiments of this disclosure are intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0148] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A congestion analysis method based on a vehicle running state, characterized by, The congestion analysis method includes the following steps: Obtain traffic trajectory data; The traffic trajectory data is fitted based on the road segment vehicle operation model to obtain the movement trajectory of the road segment vehicles; the operation trend of traffic flow is analyzed through the movement trajectory of the road segment vehicles to distinguish between intermittent flow and continuous flow with mutual interference. Establish intermittent flow operation model and continuous flow operation model, combine interfering vehicles into operation units and perform combined analysis to obtain the traffic volume and the speed and density of the moving units of the road segment based on the current traffic flow state; The road segment is divided into sections, and the changes in traffic volume and movement unit density are analyzed. Based on the analysis results, the congestion status is output. The step of distinguishing between intermittent flow and mutually interfering continuous flow includes: when the distance between the two vehicles... Prolonged exposure to the impact of spacing minimum safety distance In between, This indicates that two vehicles that influence each other are within the same traffic flow element. If the vehicle behind... All satisfied This indicates a continuous flow that interferes with each other; expand the elements within the traffic flow element until a condition occurs. If so, it is considered an intermittent flow; The steps of dividing the road segment into sections, analyzing changes in traffic volume and movement unit density, and outputting the congestion status based on the analysis results include: performing cross-sectional analysis of the entire road segment parallel to the X-axis based on unit time to determine whether there is negative traffic accumulation in the road segment; if so, sequentially traversing the cross-sections in the downstream direction to determine the traffic flow transition section; selecting the upstream intersection cycle as the calculation unit time, and comparing the total traffic volume passing through the traffic flow transition section in one calculated unit time with the traffic flow in the previous calculated unit time before the traffic flow transition section, and judging the congestion status based on the comparison result; The step of performing cross-sectional analysis of the entire road segment parallel to the X-axis based on unit time to determine whether there is negative traffic accumulation in the road segment includes: obtaining the unit time of the upstream and downstream of each cross-section. Passable flow and motion density per unit time Calculate the change in motion state based on the swing value on the Y-axis at time t. : ； determination :when When the value is greater than 0, traffic flow is considered to be positive and without congestion; when... When the value is less than 0, it is considered that there is negative accumulation in traffic flow, that is, accumulation in the opposite direction to the flow. The step of determining the traffic flow operation transition section includes: when the target section <0, sequentially traverse the cross-sections in the downstream direction. ,Will The cross-section with the value closest to 0 is the traffic flow operation transition cross-section.

2. The congestion analysis method based on vehicle operating status according to claim 1, characterized in that, The steps for determining congestion status based on comparison results include: The difference between the total traffic volume passing through the traffic flow transition section in one calculated unit time and the traffic flow volume in the previous calculated unit time before the traffic flow transition section is calculated. If the difference is greater than 0, it indicates that there is a continuous accumulation of traffic volume.

3. The congestion analysis method based on vehicle operating status according to claim 2, characterized in that, The step of determining the congestion status based on the comparison results also includes: The cumulative value of the difference over multiple periods is compared with the road carrying capacity value. When the cumulative value of the difference is greater than the road carrying capacity value, it indicates that there is severe traffic congestion on the road section.

4. The congestion analysis method based on vehicle operating status according to any one of claims 1-3, characterized in that, The step of fitting the traffic trajectory data based on the road segment vehicle operation model to obtain the motion trajectory of the vehicles on the road segment includes: By linking traffic volume identification data at road segment entrances and exits with road network data, an overall road network structure model is formed; a two-dimensional coordinate system is constructed for each road segment, and the vehicle's trajectory is described by calibrating the centroid and coordinate changes of the vehicle.

5. A congestion analysis system for implementing the congestion analysis method based on vehicle operating status as described in any one of claims 1-4, characterized in that, The congestion analysis system includes: The data acquisition module is used to acquire traffic trajectory data; The data processing module is used to fit the traffic trajectory data based on the road segment vehicle operation model to obtain the movement trajectory of the road segment vehicles. The first analysis module is used to analyze the traffic flow operation status by analyzing the movement trajectory of vehicles on the road segment, and to distinguish between intermittent flow and continuous flow that interferes with each other. The second analysis module is used to establish intermittent flow operation model and continuous flow operation model, and to combine and analyze mutually interfering vehicles as operation units to obtain the traffic volume and the speed and density of the movement units of the road segment based on the current traffic flow state. The third analysis module is used to divide the road segment into sections, analyze the changes in traffic volume and movement unit density, and output the congestion status based on the analysis results.

6. The congestion analysis system based on the vehicle operating status congestion analysis method according to claim 5, characterized in that, The third analysis module includes: The cross-section analysis unit is used to perform cross-section analysis of the entire road segment parallel to the X-axis based on a unit time, and to determine whether there is negative accumulation in the traffic flow of the road segment; if so, it sequentially traverses the cross-sections in the downstream direction to determine the traffic flow conversion cross-section. The comparison output unit is used to select the upstream intersection cycle as the calculation unit time, and compare the total traffic volume passing through the traffic flow operation transition section in one calculated unit time with the traffic flow in the previous calculated unit time before the traffic flow operation transition section, and determine the congestion status based on the comparison result.

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