Beidou-based traffic flow real-time monitoring method and system

Abstract

The invention relates to the technical field of traffic monitoring, in particular to a Beidou-based traffic flow real-time monitoring method and system, and the method comprises the following steps: receiving signal data and analyzing a signal source based on a Beidou short message communication terminal, extracting vehicle positioning information and road occupation information in vehicle operation state data, and transmitting the vehicle positioning information and the road occupation information to a Beidou short message communication terminal; and analyzing the vehicle speed and the traffic flow density, and carrying out matching operation on the analysis result and the road section number to obtain traffic flow state data. According to the method, vehicle positioning and road occupation information is extracted through signal analysis, efficient acquisition and integration of traffic state data are realized, road section numbers are matched to improve data space precision, traffic pressure is reflected, dynamic flow analysis is supported, adjacent road section data are integrated, abnormal areas are positioned, shunting paths and proportions are optimized, and emergency response efficiency is improved. Real-time regulation and control of traffic flow are realized through dynamic pushing, the flexibility and responsiveness of traffic operation are enhanced, and the monitoring precision and the road network operation efficiency are comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic monitoring, and in particular to a Beidou-based real-time traffic flow monitoring method and system. Background Art

[0002] The field of traffic monitoring technology mainly studies the collection, analysis and evaluation of traffic conditions, aiming to provide a scientific decision-making basis for road traffic management. This field includes many aspects, including traffic flow monitoring, vehicle speed and distance detection, traffic congestion prediction and relief, accident detection and early warning, etc. The core technologies include sensor-based real-time data collection and processing, satellite navigation and positioning technology, communication network technology and traffic big data analysis methods. Through the comprehensive application of technology, we can grasp the road traffic conditions in real time, optimize resource allocation, and improve the operation efficiency and safety of the transportation system.

[0003] Among them, the real-time traffic flow monitoring method aims to use the positioning and short message functions of the Beidou satellite navigation system to conduct real-time monitoring and data analysis of traffic flow on highways and other roads. This method can be used to monitor vehicle flow, vehicle operation trajectory and road traffic conditions, and provide accurate real-time information for traffic management departments, improve the efficiency of road congestion relief, optimize emergency response and scheduling, and ensure smooth roads and traffic safety.

[0004] Although the existing technology can collect real-time data through sensors and satellite navigation technology in traffic flow monitoring, it is insufficient in the accuracy and relevance of data processing and analysis. The analysis of vehicle operation status data lacks the integration of multi-dimensional information, and the combination of positioning information and road occupancy information is weak, resulting in reduced analysis accuracy under complex road conditions. In the assessment of traffic status, the existing methods are more based on static data of a single road section or local area, which makes it difficult to achieve dynamic cross-regional traffic integration and analysis, limiting the comprehensive display of traffic characteristics of the entire road network. In terms of accident response, the existing technology lacks real-time optimization of vehicle diversion paths and diversion ratios within the scope of the accident, resulting in time lags in the emergency dispatch process, making it difficult to effectively alleviate traffic congestion. The transmission of real-time data and the dynamic interaction capabilities of control information are relatively weak, and the linkage efficiency between the management center and the vehicle terminal is low. This lag easily leads to continued aggravation of traffic congestion. The existing technology has room for improvement in terms of dynamic, precise, real-time and global optimization capabilities, which limits the efficiency of road traffic operation. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a Beidou-based real-time traffic flow monitoring method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a real-time monitoring method of traffic flow based on Beidou, comprising the following steps: S1: Based on the Beidou short message communication terminal, receive signal data and analyze the signal source, extract vehicle positioning information and road occupancy information from the vehicle operation status data, analyze vehicle speed and traffic density, match the analysis results with the road section number, and obtain traffic flow status data; S2: Based on the traffic flow state data, compare the speed and traffic density in the road capacity parameters, identify the congestion state monitoring indicators, analyze the congestion degree and traffic capacity of the road section, obtain the dynamic flow index of the road section, integrate the dynamic flow data of adjacent road sections, and obtain the dynamic characteristic data of road network traffic; S3: Based on the traffic dynamic characteristic data of the road network, screen the abnormal traffic sections, analyze the vehicle stagnation ratio and diversion capacity, extract the vehicle diversion path and proportion data of the accident section, obtain the emergency response index of the accident section, integrate the traffic capacity and diversion ratio data of the surrounding sections, and generate an emergency traffic diversion plan; S4: Based on the emergency traffic diversion plan, the vehicle diversion path and proportion of the target road section are updated, and the dynamic push function of the Beidou short message communication terminal is embedded to send control information to the management center and the vehicle terminal. Combined with the real-time traffic flow status data and control information, the real-time control results of the whole-area traffic flow are established.

[0007] As a further solution of the present invention, the steps of acquiring the traffic flow status data are specifically as follows: S111: Based on the Beidou short message communication terminal, receive terminal signal data, decode and extract vehicle positioning information, speed and timestamp, calculate the real-time speed according to the vehicle position change, exclude illogical data points, and generate the filtered vehicle operation data set; S112: combining the filtered vehicle operation data set and the real-time road occupancy information, analyzing the vehicle's stay time on the target road section through the vehicle timestamp and location data, calculating the traffic density based on the stay time and the number of vehicles, and obtaining the traffic density statistics of the road section; S113: Based on the traffic density statistics of the road section, combined with the vehicle speed data and the traffic density, the traffic status of each road section is analyzed using the formula: ; Obtain traffic flow status data; in, Indicates traffic flow status data, Indicates The speed of the car, Indicates The traffic density of the road section corresponding to the vehicle is represents the vehicle weight, Represents the total number of vehicles in the road segment.

[0008] As a further solution of the present invention, the steps for obtaining the dynamic flow index of the road section are specifically as follows: S211: extracting the vehicle speed and traffic density data of the road section from the traffic flow state data, calculating the mean and standard deviation according to the variation range of the vehicle speed, calling the traffic density data, and comparing the amplitude ranges of the two sets of data to generate an amplitude matching result of the vehicle speed and the traffic density; S212: calling the amplitude matching result of the vehicle speed and the traffic density, setting the threshold range of congestion status monitoring, using the formula: ; By comparing the monitoring index with the set threshold, the congestion status of each road section is judged to obtain the congestion status monitoring index; in, Indicates the congestion status monitoring indicator. represents the mean speed, represents the vehicle speed, represents the mean traffic density, represents the weight factor, Indicates the total number of vehicles in the road segment; S213: calling the congestion status monitoring index, combining the congestion status of the road section with the traffic capacity parameter, normalizing the monitoring index parameter and the traffic capacity parameter, and using linear interpolation calculation to obtain the dynamic flow index of the road section.

[0009] As a further solution of the present invention, the steps for acquiring the road network traffic dynamic characteristic data are specifically as follows: S221: extracting the dynamic traffic data of the road section based on the dynamic traffic index of the road section, dividing the data according to fixed time intervals, calculating the total traffic volume in each time interval section by section, and obtaining traffic statistics of the time-segmented road section; S222: Based on the time-segmented road traffic statistics, extract the road traffic values ​​of geographically adjacent sections, perform superposition processing on the time-segmented data of adjacent sections, call the influencing factors of the road section length and the number of lanes, and combine the data weighting adjustment to obtain the integrated traffic data of adjacent sections; S223: Based on the integrated traffic data of the adjacent road sections, extract the time segment traffic data of the entire road network, summarize the road section traffic values, combine the traffic change characteristics of the time period, analyze the spatial distribution law, and obtain the dynamic characteristic data of the road network traffic.

[0010] As a further solution of the present invention, the steps for obtaining the emergency response index of the accident section are specifically as follows: S311: Based on the road network traffic dynamic feature data, calling the road section number and vehicle flow data, screening abnormal traffic sections with flow fluctuations, performing partition judgment on the speed fluctuation range, and obtaining a data set of screened abnormal traffic sections; S312: Extract the vehicle stagnation ratio and diversion capacity parameters based on the filtered abnormal traffic section data set, analyze the proportion of stagnation vehicles and the proportion of diverted vehicles, and use the formula: ; Combined with the impact ratio of the weight adjustment index, the vehicle stagnation ratio and diversion capacity analysis results are generated; in, Indicates the abnormal traffic section index. represents the average speed of the stationary vehicles, represents the average speed of normal vehicles, represents the weight of the proportion of stalled vehicles, represents the weight of normal vehicles, is the adjustment factor; S313: Call the vehicle stagnation ratio and diversion capacity analysis results, combine the geographical location of the accident section and the diversion path network, dynamically evaluate the accident impact range, analyze the proportion of diversion path vehicles and the accident impact range, and generate emergency response indicators for the accident section.

[0011] As a further solution of the present invention, the steps for obtaining the emergency traffic diversion plan are specifically as follows: S321: Based on the emergency response index of the accident section, extract the traffic capacity and diversion ratio data of the surrounding sections within the accident impact range, analyze the surrounding traffic flow records, quantify the traffic capacity by time period, analyze the upper limit of the traffic capacity in combination with the number of lanes and the length of the section, and obtain the traffic capacity and diversion ratio data of the surrounding sections; S322: Based on the traffic capacity and diversion ratio data of the surrounding road sections, the diversion sections that meet the traffic conditions are screened, the vehicle traffic flow parameters of the diversion sections are extracted, the traffic flow distribution weights are allocated according to the accident impact area, the diversion ratio parameters are adjusted, and the traffic flow distribution matrix of the accident diversion section is generated; S323: Based on the traffic distribution matrix of the accident diversion section, analyze the diversion path within the accident impact area, adjust the traffic volume distribution in the diversion path in the differentiated time periods, dynamically optimize the path configuration in combination with real-time traffic data, and establish an emergency traffic diversion plan.

[0012] As a further solution of the present invention, the steps for obtaining the real-time control result of the global traffic flow are specifically as follows: S411: Based on the emergency traffic diversion plan, extract the diversion path and diversion ratio of the target road section, combine the real-time traffic flow status data for dynamic change matching, and generate a dynamic matching result of the vehicle diversion path and ratio of the target road section; S412: Based on the dynamic matching result of the vehicle diversion path and the ratio of the target road section, combined with the dynamic push function of the Beidou short message communication terminal, the formula is adopted: ; Calibrate the push control results to obtain dynamic push control parameters; in, Indicates dynamic push control parameters. Indicates the real-time vehicle speed, represents the recommended speed for the target path, represents the diversion ratio weight, represents the vehicle density of the road section, represents the adjustment factor; S413: Call the dynamic push control parameters, combine with the dynamic push function of the Beidou short message communication terminal, send the control information to the management center and the vehicle terminal, extract the real-time traffic flow status data and the received control information, dynamically match the global traffic network, and adjust the flow status of the diversion path of the target section in combination with the control information to obtain the real-time control result of the global traffic flow.

[0013] A Beidou-based real-time traffic flow monitoring system, the Beidou-based real-time traffic flow monitoring system is used to execute the above-mentioned Beidou-based real-time traffic flow monitoring method, the system comprises: The signal receiving and parsing module is based on the Beidou short message communication terminal, which parses the timestamp value, frequency value and intensity value in the received signal data, extracts the vehicle operation status data of the signal source, separates the vehicle positioning data and the road occupancy data, and obtains the vehicle position status characteristics; The traffic flow analysis module matches the vehicle speed value with the road section number based on the vehicle position state characteristics, calls the speed value set and the vehicle flow density data for linkage comparison, and obtains the traffic flow state characteristics; The road capacity evaluation module extracts the speed deviation value and the traffic density change rate based on the traffic flow state characteristics, groups the road sections by section number, compares the speed deviation value and the traffic density change rate, and forms the road section traffic state parameters; The emergency traffic diversion module screens the abnormal traffic section number based on the traffic status parameters of the section, extracts the adjacent section number data, analyzes the proportion of stalled vehicles and diversion capacity, and obtains the accident section diversion data; The information push module updates the target section number diversion path and proportion data based on the accident section diversion data, embeds the Beidou short message communication terminal dynamic push function, and establishes the real-time control results of the whole-area traffic flow.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by receiving signal data and analyzing the signal source, the positioning information and road occupancy information in the vehicle running status are accurately extracted, and the efficient acquisition and integration of traffic status data are realized. When analyzing the vehicle speed and traffic density, the data matching road section numbering method is introduced to improve the accurate correlation ability of traffic flow status and road distribution, ensure the spatial accuracy of data analysis, compare the speed and traffic density in the road capacity, and combine the indicator identification of congestion status to intuitively reflect the actual traffic pressure of the road section, laying the foundation for dynamic flow analysis. By integrating the dynamic flow data of adjacent sections, dynamic traffic characteristics of road networks with a wider coverage are generated, and cross-road dynamic traffic characteristics are realized. The organic integration of traffic information of different sections provides a more macroscopic view of dynamic changes at the road network level, screens abnormal traffic sections and combines the vehicle stagnation rate and diversion capacity to quickly locate abnormal areas and accurately assess the degree of impact. At the same time, it optimizes the diversion path and ratio of the accident section to improve the emergency response efficiency of sudden incidents, updates the diversion path and ratio, and transmits control information to the management center and vehicle terminals through dynamic push, effectively realizing real-time control of traffic flow, making the traffic operation status more flexible and responsive, and improving the accuracy of traffic flow monitoring, emergency response efficiency, and optimizing road network traffic operation through the synergy of positioning, analysis, integration, optimization and push. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 A flow chart of traffic flow status data in the present invention; Figure 3 It is a flow chart of the dynamic flow index of the road section in the present invention; Figure 4 It is a flow chart of the dynamic characteristic data of road network traffic in the present invention; Figure 5 A flow chart of the emergency response indicators for the accident section in the present invention; Figure 6 It is a flow chart of the emergency traffic diversion scheme in the present invention; Figure 7 It is a flow chart of the real-time control result of the global traffic flow in the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Example: See Figure 1 The present invention provides a technical solution: a Beidou-based real-time traffic flow monitoring method, comprising the following steps: S1: Based on the Beidou short message communication terminal, receive signal data and analyze the signal source, extract vehicle positioning information and road occupancy information from the vehicle operation status data, analyze vehicle speed and traffic density, match the analysis results with the road section number, and obtain traffic flow status data; S2: Based on the traffic flow status data, the speed and traffic density in the road capacity parameters are compared, the congestion status monitoring indicators are identified, the congestion degree and traffic capacity of the road section are analyzed, the dynamic flow index of the road section is obtained, the dynamic flow data of adjacent sections are integrated, and the dynamic characteristic data of road network traffic is obtained; S3: Based on the dynamic characteristic data of road network traffic, screen the abnormal traffic sections, analyze the vehicle stagnation ratio and diversion capacity, extract the vehicle diversion path and proportion data of the accident section, obtain the emergency response index of the accident section, integrate the traffic capacity and diversion ratio data of the surrounding sections, and generate the emergency traffic diversion plan; S4: Based on the emergency traffic diversion plan, the vehicle diversion path and proportion of the target road section are updated, embedded in the dynamic push function of the Beidou short message communication terminal, and control information is sent to the management center and vehicle terminals. Combined with real-time traffic flow status data and control information, real-time control results of the entire traffic flow are established.

[0019] Traffic flow status data include vehicle speed, traffic density, and section number matching information; section dynamic flow indicators include congestion level, capacity parameters, and adjacent section flow data; road network traffic dynamic characteristic data include abnormal traffic sections, vehicle stagnation ratio, and vehicle diversion capacity; accident section emergency response indicators include accident section diversion path, diversion ratio, and surrounding section capacity; emergency traffic diversion plans include diversion path adjustment, diversion ratio optimization, and dynamic push content; and the real-time control results of the entire traffic flow include real-time flow status, control plan, and communication push information.

[0020] See also Figure 2 ,The specific steps for obtaining traffic flow status data are: S111: Based on the Beidou short message communication terminal, receive terminal signal data, decode and extract vehicle positioning information, speed and timestamp, calculate the real-time speed according to the vehicle position change, exclude illogical data points, and generate the filtered vehicle operation data set; Receive the signal data of the Beidou short message communication terminal, extract the vehicle positioning information, speed and timestamp in the vehicle operation status data through signal decoding, verify the original signal, eliminate abnormal signals caused by noise or data loss, ensure the consistency of data format and complete the timestamp completion processing, call the latitude and longitude coordinate data of the vehicle positioning information, calculate the displacement change of adjacent time points in combination with the timestamp, and then calculate the instantaneous speed. For the speed data, upper and lower limit constraints are eliminated, and the abnormal data out of the range is cleaned by setting the minimum speed threshold and the maximum speed threshold. At the same time, delete the invalid data points that do not match the timestamp or the displacement change is zero, complete the preprocessing of the speed data, call the positioning information to segment the continuous displacement of the vehicle, and judge whether each group of data points meets the continuity requirements. If there is a timestamp interruption exceeding the time threshold in a certain section, it is marked as a breakpoint, and the interpolation algorithm is used to fill the missing data segment or eliminate the invalid segment to complete the data completion. Finally, integrate the positioning information, speed data and timestamp after all data processing to generate the filtered vehicle operation data set.

[0021] S112: combining the filtered vehicle operation data set and the real-time road occupancy information, analyzing the vehicle's stay time on the target road section through the vehicle timestamp and location data, calculating the traffic density based on the stay time and the number of vehicles, and obtaining the traffic density statistics of the road section; The latitude and longitude positioning information, timestamp and road number of the vehicle in the dataset are extracted. The road section where the vehicle is located is identified by calling the positioning information and road network topology data. First, all vehicles are assigned to specific sections according to their positioning coordinates. The time stamp record of each vehicle is used to calculate its residence time in the section. By judging whether the continuous timestamps have changes in positioning information, it is determined whether the vehicle is stationary or moving. If the change amplitude of the vehicle positioning data is less than the resolution of the road unit grid, the vehicle is marked as stationary in the section, and the total residence time of this period is calculated. The number of vehicles in each section is counted according to the time range, and the traffic density is calculated by dividing the number of vehicles in a unit time by the length of the section. The data of different time periods are combined for segmented statistics. The traffic density statistics of the section are obtained by normalizing and sorting the density results, and finally a comprehensive analysis of the traffic density of all sections is completed.

[0022] S113: Based on the traffic density statistics of the road section, combined with the vehicle speed data and traffic density, the traffic status of each road section is analyzed using the formula: ; Obtain traffic flow status data; in, Indicates traffic flow status data, Indicates The speed of the car, Indicates The traffic density of the road section corresponding to the vehicle is represents the vehicle weight, Indicates the total number of vehicles in the road segment; The formula is useful because it introduces the weight parameter The square root normalization process enhances the flow contribution analysis of key vehicles and and traffic density The combined operation of provides a more detailed traffic flow status analysis capability; Set the total number of vehicles , the speed of each vehicle They are ; Traffic density of each vehicle on the road segment They are ; Weight Parameters They are ; Calculation formula: The result shows that the traffic flow status data of the current road section is , which reflects the actual traffic flow status of the comprehensive effects of vehicle speed, traffic density and weight.

[0023] See also Figure 3 ,The specific steps for obtaining the dynamic flow index of a road section are as follows: S211: extracting vehicle speed and traffic density data of the road section from the traffic flow status data, calculating the mean and standard deviation according to the variation range of the vehicle speed, calling the traffic density data, and comparing the amplitude ranges of the two sets of data to generate an amplitude matching result of the vehicle speed and the traffic density; By analyzing the time series of vehicle speed data, the range of vehicle speed changes is gradually segmented and counted. The speed data is screened based on the division of time slices, the mean and standard deviation of the speed are calculated, and the matching timestamp information and section number are called to determine the vehicle operation area in different time periods. The speed calculation results are further refined to specific sections. The extraction of traffic density data is indexed by the section number, and the number of vehicles passing through each time slice is called. Based on the change in the number of vehicles per unit time, the traffic density value is calculated in combination with the section length. The mean and standard deviation of the traffic density are counted to generate a segmented density index. The mean and standard deviation of vehicle speed and traffic density are called, and the interval amplitude comparison method is used to compare the vehicle speed fluctuation range and the range change of traffic density. The dynamic relationship between the two is analyzed, and the amplitude relationship between the vehicle speed and traffic density is matched and associated according to the comparison results, and finally the amplitude matching result of the vehicle speed and traffic density is generated.

[0024] S212: Call the amplitude matching result of vehicle speed and traffic density to set the threshold range of congestion status monitoring, using the formula: ; By comparing the monitoring index with the set threshold, the congestion status of each road section is judged to obtain the congestion status monitoring index; in, Indicates the congestion status monitoring indicator. represents the mean speed, represents the vehicle speed, represents the mean traffic density, represents the weight factor, Indicates the total number of vehicles in the road segment; The benefit of the formula is that it combines the volatility of vehicle speed and the comprehensive influence of traffic density, and uses weight parameters to quantitatively adjust the influence of different road sections, thereby improving the calculation accuracy and analysis depth of congestion monitoring. The introduction of weights enables the congestion index to dynamically adapt to the influence of different road sections. Assume that the total number of vehicles is , the average speed of each vehicle They are , actual speed They are ,The speed data is continuously recorded by the speed measuring equipment on the road section and is calculated by averaging the time slices; The average traffic density of each vehicle on the road segment They are ,The traffic density data is recorded by the vehicle passing counting equipment and normalized by the road section length; Weight Parameters They are ,The weight value is adjusted by the traffic importance and vehicle type of the road section; Calculation formula: The results show that the congestion status monitoring indicators , which represents the comprehensive relationship between vehicle speed volatility and traffic density. This indicator, combined with the preset congestion threshold, will be used to further analyze the congestion status of each road section and generate specific monitoring results.

[0025] S213: calling the congestion status monitoring index, combining the congestion status of the road section with the traffic capacity parameter, normalizing the monitoring index parameter and the traffic capacity parameter, and using linear interpolation calculation to obtain the dynamic flow index of the road section; The capacity parameters of each road are extracted, including the road design flow, lane width and actual vehicle flow. Through the dynamic comparison of road design parameters and actual flow, the actual vehicle speed and traffic density values ​​are called to calculate the dynamic flow of vehicles on each road. The congestion monitoring index is matched with the capacity range by linear interpolation method, and the monitoring index results are mapped to the range value of the road section capacity. Combined with the cross calculation of capacity impact and congestion monitoring index, the dynamic flow changes of each road section are gradually counted according to the road number, and the dynamic flow index of the road section is generated through normalization operation.

[0026] See also Figure 4 ,The specific steps for obtaining road network traffic dynamic characteristic data are: S221: extracting the dynamic traffic data of the road section based on the dynamic traffic index of the road section, dividing the data according to fixed time intervals, calculating the total traffic volume in each time interval section by section, and obtaining traffic statistics of the time-segmented road section; The original dynamic traffic data is first divided into individual time segments at the minute level. The number of vehicles passing through the road section and the average speed are counted in each time segment. The traffic data of each detection point is further accumulated according to the distribution of the detection points on the road section. The overall traffic value of the road section in each time interval is calculated by sequential association of the detection point ID. Based on the trajectory data collected by the Beidou positioning system, the position of the vehicle on the road section in different time periods is determined by trajectory matching technology, and the traffic data is summarized by the road section as a unit. For each time interval, the sum of the traffic data of all vehicles passing through the road section is calculated. At the same time, combined with the timestamp information recorded in the Beidou trajectory, the records of abnormal speed or positioning drift are eliminated to ensure the accuracy of the statistical data. Through such segmentation and statistical methods, the traffic statistics of the time-segmented road section are obtained to ensure that the distribution of the data conforms to the dynamic characteristics of the actual traffic flow changes.

[0027] S222: based on the traffic statistics of time-segmented sections, extract the traffic values ​​of sections with geographical adjacency, perform superposition processing on the time-segmented data of adjacent sections, call the influencing factors of section length and number of lanes, combine the data weighting adjustment, and obtain the integrated traffic data of adjacent sections; Firstly, according to the spatial coordinate information collected in the Beidou trajectory data, the geographical relationship model between road sections is constructed through the adjacency matrix to clarify the connection order between adjacent road sections. For each time segment, when calculating the superposition value of the flow of adjacent road sections, the weighting factor of the road section length is introduced to appropriately amplify the flow value of the shorter road section to balance the difference in the impact of different road sections on the overall flow. At the same time, combined with the influencing factor of the number of lanes, the flow value is corrected through the flow density calculation formula to reflect the actual traffic capacity of multi-lane road sections. In the superposition process, for the situation where there are multiple adjacent road sections at the intersection, the flow of each road section is allocated according to the dynamic traffic distribution ratio of the intersection to ensure the logical consistency of the integrated data. Obtaining the integrated flow data of adjacent road sections can more accurately reflect the flow distribution characteristics of the local road section group and provide support for further analysis of the flow of the entire road network.

[0028] S223: based on the integrated flow data of adjacent sections, extract the time segment flow data of the entire road network, summarize the section flow values, combine the flow change characteristics of the time period, analyze the spatial distribution law, and obtain the dynamic characteristic data of the road network traffic; First, supported by the dynamic positioning data provided by the Beidou system, the flow values ​​of each road section in each time segment are accumulated into the whole network traffic flow database of the corresponding time period. In the process of traffic aggregation, the spatial correlation between road sections is combined to analyze the flow change patterns in different areas, distinguish the flow characteristics during peak hours and off-peak hours, and introduce the flow change rate index to identify key areas with drastic flow changes. Combined with the flow change characteristics of the time period, a flow heat map is constructed with time as the dimension to show the dynamic distribution of traffic in the entire road network. At the same time, the distribution of traffic congestion in the road network is analyzed through the trajectory density in the Beidou data, and the dynamic characteristic data of road network traffic is obtained. The traffic load of high-flow areas and sections is clarified, providing comprehensive support for the extraction and subsequent optimization of dynamic characteristic data of road network traffic.

[0029] See also Figure 5 ,The specific steps for obtaining the emergency response indicators of the accident section are: S311: Based on the road network traffic dynamic feature data, the road section number and vehicle flow data are called to screen abnormal traffic sections with traffic flow fluctuations, and the speed fluctuation range is partitioned to determine to obtain a data set of abnormal traffic sections after screening; The road section number, vehicle flow and vehicle operation status information are called to count the vehicle traffic conditions of each road section within a specific time range. The time distribution characteristics of the speed are analyzed by calculating the mean and standard deviation of the vehicle speed, and the road sections with speed fluctuations exceeding the set range are marked. The time series of traffic changes are further disassembled. The traffic difference in adjacent time periods is used as the core parameter. The time period of abnormal traffic changes is identified by calculating the increase and decrease amplitude and fluctuation frequency of the traffic, and the specific location of the abnormality is located by matching the road section number. The occupancy rate and pass rate parameters in the vehicle flow data are called to compare the number of vehicles passing in each period of time with the proportion of the road carrying capacity, and it is determined whether the abnormal value continues to occur. The road sections with continuous traffic abnormalities are eliminated or marked. The data results of speed, flow change and occupancy rate are comprehensively integrated to further screen the traffic abnormal sections as qualified key sections, and mark the sections as sections with abnormal traffic characteristics. Finally, the screening and marking of traffic abnormal sections are completed, and the screened traffic abnormal section data set is output.

[0030] S312: Extract the vehicle stagnation ratio and diversion capacity parameters based on the filtered abnormal traffic section data set, analyze the proportion of stagnation vehicles and diversion vehicles, and use the formula: ; Combined with the impact ratio of the weight adjustment index, the vehicle stagnation ratio and diversion capacity analysis results are generated; in, Indicates the abnormal traffic section index. represents the average speed of the stationary vehicles, represents the average speed of normal vehicles, represents the weight of the proportion of stalled vehicles, represents the weight of normal vehicles, is the adjustment factor; The benefit of the formula is that it adjusts the impact of the two types of vehicles by combining the speed difference between the stationary vehicles and the normal vehicles, and introduces the adjustment coefficient Used to balance the calculation of the denominator, so that the formula can adapt to different traffic and road section characteristics, and improve the flexibility of calculation; Set the average speed of the stationary vehicles , the average speed of normal vehicles The speed data of both are obtained through real-time speed measuring equipment on the road section, where the average speed of the stationary vehicle is calculated based on the data of vehicles with speeds below a certain threshold (e.g. 20km / h), and the average speed of the normal vehicle is calculated based on the data of vehicles with speeds above this threshold; Weight of stalled vehicles , normal vehicle proportion weight The weights of the two are dynamically adjusted through statistical analysis of vehicle classification proportions, and the specific values ​​are obtained by comprehensive comparison of the historical traffic statistics of the road section and the current traffic proportion; Adjustment factor , the adjustment factor is set based on the road type (such as main road, secondary road or branch road) and the length of the road segment, and is used to balance the calculation of the denominator; Calculation formula: The results show that the comprehensive index of abnormal traffic sections , which represents the comprehensive impact between the ratio of stalled vehicles and the normal vehicle diversion capacity of the road section. This value will be used for subsequent calculation and analysis of diversion path planning and emergency response indicators.

[0031] S313: Calling the vehicle stagnation ratio and diversion capacity analysis results, combining the geographical location of the accident section and the diversion path network, dynamically evaluating the accident impact range, analyzing the proportion of diversion path vehicles and the accident impact range, and generating the accident section emergency response index; First, the accident section is partitioned and marked, and the diversion capacity is calculated based on the actual vehicle flow ratio in the diversion path. The vehicle quantity data and timestamp of the diversion path are extracted, and the flow ratio of each path is normalized. The dynamic change trend of the flow ratio is further analyzed. The network diagram in the path distribution is called to analyze the carrying capacity and occupancy capacity of the diversion path for vehicle flow. The dynamic change characteristics of the accident impact range are calculated according to the occupancy rate and flow distribution. The flow distribution and path network capacity of the diversion path network are integrated. By comparing the change differences between the path flow and the section flow within the accident impact range, the proportion value and flow recovery rate of the diversion path are calculated. Finally, the diversion path proportion, flow recovery rate and flow occupancy rate of the accident section are used to comprehensively generate the accident section emergency response index for analyzing the effectiveness of the emergency treatment plan.

[0032] See also Figure 6 , the specific steps for obtaining the emergency traffic diversion plan are: S321: Based on the emergency response indicators of the accident section, extract the traffic capacity and diversion ratio data of the surrounding sections within the accident impact range, analyze the surrounding traffic flow records, quantify the traffic capacity by time period, analyze the upper limit of the traffic capacity by combining the number of lanes and the length of the section, and obtain the traffic capacity and diversion ratio data of the surrounding sections; The real-time trajectory data of vehicles in the accident section and surrounding areas are obtained through the Beidou positioning system, and mapped to relevant sections according to spatial distribution. The traffic flow of surrounding sections is divided into different time periods based on timestamps. The number and length of lanes of each section are analyzed by matching the trajectory data with the section attributes, and the maximum number of vehicles passing through the section per unit time is calculated to quantify the upper limit of the capacity of each section. In the process of capacity analysis, the data of sections congested due to accidents are excluded, and the focus is on sections with potential diversion functions around the accident area. The actual traffic flow is counted in minutes, and the diversion ratio is dynamically calculated through the ratio of traffic flow to capacity. According to the time series characteristics of the actual incoming and outgoing traffic in the vehicle trajectory data, the law of vehicle distribution changes is judged, and the proportion fluctuation range of key diversion time periods is extracted. The traffic capacity and diversion ratio data of surrounding sections are obtained to provide a basis for the formulation of subsequent diversion plans.

[0033] S322: Based on the traffic capacity and diversion ratio data of surrounding sections, select the diversion sections that meet the traffic conditions, extract the vehicle traffic flow parameters of the diversion sections, allocate the flow distribution weights according to the accident impact area, adjust the diversion ratio parameters, and generate the accident diversion section flow distribution matrix; By analyzing the flow proportion and remaining capacity of each section, after excluding sections blocked by accidents or with saturated traffic, candidate sections with diversion function are screened. For candidate sections, their historical traffic data and real-time traffic parameters are extracted, and the trajectory points of actual vehicles passing through the diversion area are identified in combination with Beidou trajectory data, and the traffic distribution of vehicles in each diversion section is clarified. By zoning and classifying the vehicle traffic in the accident-affected area, diversion traffic weights are allocated according to the length of the diversion section and the number of lanes, and diverted vehicles are reasonably allocated among sections that meet the traffic conditions. The diversion ratio parameters are adjusted so that the diversion ratio of each section is in line with its capacity range. On this basis, an accident diversion section allocation matrix is ​​generated, which accurately describes the traffic flow distribution around the accident area, laying a foundation for subsequent traffic diversion and route adjustment.

[0034] S323: Based on the traffic distribution matrix of the accident diversion section, analyze the diversion path within the accident impact area, adjust the traffic volume distribution in the diversion path in the differentiated time period, dynamically optimize the path configuration in combination with real-time traffic data, and establish an emergency traffic diversion plan; The sections with higher diversion ratios in the matrix and the paths connected to them are extracted, the traffic data of different time periods are classified and processed, and the traffic distribution of diversion paths in differentiated time periods is adjusted to ensure that the traffic during peak hours can be preferentially allocated to sections with higher traffic capacity. On the basis of analyzing the path distribution, the traffic status of the diversion path is monitored through the real-time traffic data of the Beidou positioning system. The diversion priority and traffic volume distribution of the path are dynamically adjusted according to the real-time traffic flow. Combined with the actual traffic share of the diversion section and the path congestion, the traffic load of the diversion path is gradually optimized, and the path configuration is dynamically adjusted to ensure that the diverted vehicles can efficiently pass through the accident-affected area. Finally, a set of emergency traffic diversion plans covering the accident-affected area is established to achieve rapid relief of traffic pressure in the accident area, while ensuring the overall balance of traffic flow distribution in the entire network.

[0035] See also Figure 7 ,The specific steps for obtaining the real-time control results of global traffic flow are: S411: Based on the emergency traffic diversion plan, extract the diversion path and diversion ratio of the target road section, combine the real-time traffic flow status data for dynamic change matching, and generate a dynamic matching result of the vehicle diversion path and ratio of the target road section; By statistically analyzing the vehicle flow proportion data of each diversion path section by section, the changing law of the path diversion ratio is determined, the path flow load and vehicle density data are called, and the dynamic change trend of the path diversion ratio is analyzed in detail. The correlation between the fluctuation amplitude of vehicle flow in the time series and the path number is calculated, and the difference between the actual flow proportion of each path and the planned target diversion ratio is compared. Combined with the path diversion capacity parameters, the actual flow carrying capacity of the path is analyzed by cross-comparison of the path flow load value and vehicle density data, and the dynamic adjustment of the diversion ratio is optimized. The consistency between the path diversion plan and the target diversion ratio is gradually verified. Finally, combined with the dynamic changes of path number, vehicle diversion ratio and real-time traffic status, the dynamic matching result of the vehicle diversion path and ratio of the target section is generated, and the dynamic matching analysis and generation process of the target path is completed.

[0036] S412: Based on the dynamic matching results of the vehicle diversion path and ratio of the target road section, combined with the dynamic push function of the Beidou short message communication terminal, the formula is adopted: ; Calibrate the push control results to obtain dynamic push control parameters; in, Indicates dynamic push control parameters. Indicates the real-time vehicle speed, represents the recommended speed for the target path, represents the diversion ratio weight, represents the vehicle density of the road section, represents the adjustment factor; The benefit of the formula is that it reflects the necessity of path diversion adjustment through the difference between the real-time vehicle speed and the recommended speed, and introduces the diversion ratio weight and density parameters of road congestion , by adjusting the coefficient Dynamically balance the pressure differences between diversion paths, so that the push control parameters can reflect the current traffic flow status and the rationality of path selection in real time, and improve the accuracy of control response; Set real-time vehicle speed and recommended speed ,The real-time vehicle speed is collected by the Beidou terminal and updated to the time series data of the target path, and the recommended speed is dynamically calculated based on the path capacity and vehicle flow; Diversion ratio weight ,This value is calculated by combining historical path diversion data with the current traffic load ratio; Road vehicle density , obtained by counting the number of vehicles per unit length, the adjustment coefficient , which is set according to the congestion level and diversion demand of the target path, and is used to balance and adjust the path pressure difference; Calculation formula: This result shows that the dynamic push control parameters , which is used to adjust the proportion of diversion routes and push information of route selection in real time. Combined with Beidou short message terminal, it can effectively guide vehicles to choose the optimal route, thereby optimizing the distribution structure of global traffic flow.

[0037] S413: Call the dynamic push control parameters, combine the dynamic push function of the Beidou short message communication terminal, send the control information to the management center and the vehicle terminal, extract the real-time traffic flow status data and the received control information, dynamically match the global traffic network, and adjust the flow status of the diversion path of the target section in combination with the control information to obtain the real-time control result of the global traffic flow; Real-time traffic flow status data is extracted through the management center, and the traffic load and diversion capacity of the target path are gradually analyzed. By dynamically matching the path number and the traffic ratio in the pushed information, the changing trend of the path number and the traffic ratio in different time periods is calculated, and the data distribution of the real-time diversion path is mapped to the global traffic map of the path network. The path traffic share data is called, and the actual difference between the pushed path number share and the target path diversion ratio is compared. The traffic state distribution of the entire path is optimized through the dynamic adjustment of the diversion capacity. Further, through the association between the path traffic load and the path number share, combined with the traffic distribution changes of the entire path network, the dynamic allocation result of the path diversion share is obtained, the diversion path is optimized, and the real-time control result of the entire traffic flow is obtained.

[0038] The Beidou-based traffic flow real-time monitoring system is used to execute the above-mentioned Beidou-based traffic flow real-time monitoring method, and the system includes: The signal receiving and parsing module is based on the Beidou short message communication terminal, which parses the timestamp value, frequency value and intensity value in the received signal data, extracts the vehicle operation status data of the signal source, separates the vehicle positioning data and the road occupancy data, and obtains the vehicle position status characteristics; The traffic flow analysis module matches the vehicle speed value with the road section number based on the vehicle position status characteristics, calls the speed value set and the traffic density data for linkage comparison, and obtains the traffic flow status characteristics; The road capacity assessment module extracts the speed deviation value and the traffic density change rate based on the traffic flow state characteristics, groups them by section number, compares the speed deviation value and the traffic density change rate, and forms the section traffic state parameters; The emergency traffic diversion module screens the abnormal traffic section numbers based on the traffic status parameters of the section, extracts the adjacent section number data, analyzes the proportion of stalled vehicles and diversion capacity, and obtains the accident section diversion data; The information push module updates the target section number diversion path and proportion data based on the accident section diversion data, embeds the Beidou short message communication terminal dynamic push function, and establishes the real-time control results of the entire area traffic flow.

[0039] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A real-time traffic flow monitoring method based on Beidou, characterized in that: The following steps are involved: S1: Based on the Beidou short message communication terminal, receive signal data and analyze the signal source, extract vehicle positioning information and road occupancy information from the vehicle operation status data, analyze vehicle speed and traffic density, match the analysis results with the road section number, and obtain traffic flow status data; S2: Based on the traffic flow state data, compare the speed and traffic density in the road capacity parameters, identify the congestion state monitoring indicators, analyze the congestion degree and traffic capacity of the road section, obtain the dynamic flow index of the road section, integrate the dynamic flow data of adjacent road sections, and obtain the dynamic characteristic data of road network traffic; S3: Based on the traffic dynamic characteristic data of the road network, screen the abnormal traffic sections, analyze the vehicle stagnation ratio and diversion capacity, extract the vehicle diversion path and proportion data of the accident section, obtain the emergency response index of the accident section, integrate the traffic capacity and diversion ratio data of the surrounding sections, and generate an emergency traffic diversion plan; S4: Based on the emergency traffic diversion plan, the vehicle diversion path and proportion of the target road section are updated, and the dynamic push function of the Beidou short message communication terminal is embedded to send control information to the management center and the vehicle terminal. Combined with the real-time traffic flow status data and control information, the real-time control results of the whole-area traffic flow are established.

2. The method for real-time monitoring of traffic flow based on Beidou according to claim 1 is characterized in that: The steps for acquiring the traffic flow status data are specifically as follows: S111: Based on the Beidou short message communication terminal, receive terminal signal data, decode and extract vehicle positioning information, speed and timestamp, calculate the real-time speed according to the vehicle position change, exclude illogical data points, and generate the filtered vehicle operation data set; S112: combining the filtered vehicle operation data set and the real-time road occupancy information, analyzing the vehicle's stay time on the target road section through the vehicle timestamp and location data, calculating the traffic density based on the stay time and the number of vehicles, and obtaining the traffic density statistics of the road section; S113: Based on the traffic density statistics of the road section, combined with the vehicle speed data and the traffic density, the traffic status of each road section is analyzed using the formula: ； Obtain traffic flow status data; in, Indicates traffic flow status data, Indicates The speed of the car, Indicates The traffic density of the road section corresponding to the vehicle is represents the vehicle weight, Represents the total number of vehicles in the road segment.

3. The method for real-time monitoring of traffic flow based on Beidou according to claim 2 is characterized in that: The steps for obtaining the dynamic flow index of the road section are specifically as follows: S211: extracting the vehicle speed and traffic density data of the road section from the traffic flow state data, calculating the mean and standard deviation according to the variation range of the vehicle speed, calling the traffic density data, and comparing the amplitude ranges of the two sets of data to generate an amplitude matching result of the vehicle speed and the traffic density; S212: calling the amplitude matching result of the vehicle speed and the traffic density, setting the threshold range of congestion status monitoring, using the formula: ； By comparing the monitoring index with the set threshold, the congestion status of each road section is judged to obtain the congestion status monitoring index; in, Indicates the congestion status monitoring indicator. represents the mean speed, represents the vehicle speed, represents the mean traffic density, represents the weight factor, Indicates the total number of vehicles in the road segment; S213: calling the congestion status monitoring index, combining the congestion status of the road section with the traffic capacity parameter, normalizing the monitoring index parameter and the traffic capacity parameter, and using linear interpolation calculation to obtain the dynamic flow index of the road section.

4. The method for real-time monitoring of traffic flow based on Beidou according to claim 3 is characterized in that: The steps for acquiring the road network traffic dynamic characteristic data are specifically as follows: S221: extracting the dynamic traffic data of the road section based on the dynamic traffic index of the road section, dividing the data according to fixed time intervals, calculating the total traffic volume in each time interval section by section, and obtaining traffic statistics of the time-segmented road section; S222: Based on the time-segmented road traffic statistics, extract the road traffic values ​​of geographically adjacent sections, perform superposition processing on the time-segmented data of adjacent sections, call the influencing factors of the road section length and the number of lanes, and combine the data weighting adjustment to obtain the integrated traffic data of adjacent sections; S223: Based on the integrated traffic data of the adjacent road sections, extract the time segment traffic data of the entire road network, summarize the road section traffic values, combine the traffic change characteristics of the time period, analyze the spatial distribution law, and obtain the dynamic characteristic data of the road network traffic.

5. The method for real-time monitoring of traffic flow based on Beidou according to claim 4 is characterized in that: The steps for obtaining the emergency response index of the accident section are specifically as follows: S311: Based on the road network traffic dynamic feature data, calling the road section number and vehicle flow data, screening abnormal traffic sections with flow fluctuations, performing partition judgment on the speed fluctuation range, and obtaining a data set of screened abnormal traffic sections; S312: Extract the vehicle stagnation ratio and diversion capacity parameters based on the filtered abnormal traffic section data set, analyze the proportion of stagnation vehicles and the proportion of diverted vehicles, and use the formula: ； Combined with the impact ratio of the weight adjustment index, the vehicle stagnation ratio and diversion capacity analysis results are generated; in, Indicates the abnormal traffic section index. represents the average speed of the stationary vehicles, represents the average speed of normal vehicles, represents the weight of the proportion of stalled vehicles, represents the weight of normal vehicles, is the adjustment factor; S313: Call the vehicle stagnation ratio and diversion capacity analysis results, combine the geographical location of the accident section and the diversion path network, dynamically evaluate the accident impact range, analyze the proportion of diversion path vehicles and the accident impact range, and generate emergency response indicators for the accident section.

6. The method for real-time monitoring of traffic flow based on Beidou according to claim 5 is characterized in that: The steps for obtaining the emergency traffic diversion plan are specifically as follows: S321: Based on the emergency response index of the accident section, extract the traffic capacity and diversion ratio data of the surrounding sections within the accident impact range, analyze the surrounding traffic flow records, quantify the traffic capacity by time period, analyze the upper limit of the traffic capacity in combination with the number of lanes and the length of the section, and obtain the traffic capacity and diversion ratio data of the surrounding sections; S322: Based on the traffic capacity and diversion ratio data of the surrounding road sections, the diversion sections that meet the traffic conditions are screened, the vehicle traffic flow parameters of the diversion sections are extracted, the traffic flow distribution weights are allocated according to the accident impact area, the diversion ratio parameters are adjusted, and the traffic flow distribution matrix of the accident diversion section is generated; S323: Based on the traffic distribution matrix of the accident diversion section, analyze the diversion path within the accident impact area, adjust the traffic volume distribution in the diversion path in the differentiated time periods, dynamically optimize the path configuration in combination with real-time traffic data, and establish an emergency traffic diversion plan.

7. The method for real-time monitoring of traffic flow based on Beidou according to claim 6 is characterized in that: The steps for obtaining the real-time control result of the global traffic flow are specifically as follows: S411: Based on the emergency traffic diversion plan, extract the diversion path and diversion ratio of the target road section, combine the real-time traffic flow status data for dynamic change matching, and generate a dynamic matching result of the vehicle diversion path and ratio of the target road section; S412: Based on the dynamic matching result of the vehicle diversion path and the ratio of the target road section, combined with the dynamic push function of the Beidou short message communication terminal, the formula is adopted: ； Calibrate the push control results to obtain dynamic push control parameters; in, Indicates dynamic push control parameters. Indicates the real-time vehicle speed, represents the recommended speed for the target path, represents the diversion ratio weight, represents the vehicle density of the road section, represents the adjustment factor; S413: Call the dynamic push control parameters, combine with the dynamic push function of the Beidou short message communication terminal, send the control information to the management center and the vehicle terminal, extract the real-time traffic flow status data and the received control information, dynamically match the global traffic network, and adjust the flow status of the diversion path of the target section in combination with the control information to obtain the real-time control result of the global traffic flow.

8. The Beidou-based real-time traffic flow monitoring system is characterized by: According to the Beidou-based real-time traffic flow monitoring method according to any one of claims 1 to 7, the system comprises: The signal receiving and parsing module is based on the Beidou short message communication terminal, which parses the timestamp value, frequency value and intensity value in the received signal data, extracts the vehicle operation status data of the signal source, separates the vehicle positioning data and the road occupancy data, and obtains the vehicle position status characteristics; The traffic flow analysis module matches the vehicle speed value with the road section number based on the vehicle position state characteristics, calls the speed value set and the vehicle flow density data for linkage comparison, and obtains the traffic flow state characteristics; The road capacity evaluation module extracts the speed deviation value and the traffic density change rate based on the traffic flow state characteristics, groups the road sections by section number, compares the speed deviation value and the traffic density change rate, and forms the road section traffic state parameters; The emergency traffic diversion module screens the abnormal traffic section number based on the traffic status parameters of the section, extracts the adjacent section number data, analyzes the proportion of stalled vehicles and diversion capacity, and obtains the accident section diversion data; The information push module updates the target section number diversion path and proportion data based on the accident section diversion data, embeds the Beidou short message communication terminal dynamic push function, and establishes the real-time control results of the whole-area traffic flow.

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