An intelligent road traffic control safety management system

Abstract

The present invention discloses an intelligent road traffic control safety management system, which belongs to the field of traffic safety management and solves the problem of how to analyze traffic road related data, discover anomalies using intelligent road traffic control technology, and handle them in a timely manner; the system comprises: a traffic data acquisition module that acquires traffic impact data and road monitoring data of a target road; a traffic impact analysis module that calculates a traffic impact factor within a target time interval of the target road based on the traffic impact data; a traffic condition analysis module that determines the traffic condition level within a target time interval of the target road based on the road monitoring data; a traffic association table generation module that generates a traffic association table of the target road in the recent period that is the same as the time period type at the current time point; and an early warning analysis module that analyzes and determines whether it is necessary to issue an abnormal early warning for the traffic control of the target road at the current time point, which is beneficial to the safety management of the target road.

Description

Technical Field

[0001] The present invention belongs to the field of traffic safety management, and specifically relates to an intelligent road traffic control safety management system. Background Art

[0002] Intelligent Traffic Control Technology (ITC) is a comprehensive technology system that utilizes advanced technologies such as modern information technology, communications technology, big data analysis, artificial intelligence, and the Internet of Things to monitor, analyze, and optimize traffic systems in real time. Its purpose is to provide more convenient and safer travel services for the public.

[0003] However, in order to manage traffic safety more intelligently, while existing intelligent traffic control technologies have significantly improved the ability to monitor, analyze, and optimize traffic systems in real time, some unforeseen complexities and technical omissions still exist. These situations may require human intervention at critical moments to ensure the stability and safety of the traffic system. To this end, this paper proposes an intelligent road traffic control and safety management system. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an intelligent road traffic control safety management system that solves the problem of how to analyze traffic-related road data, detect anomalies using intelligent road traffic control technology, and promptly address them.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] An intelligent road traffic control safety management system, comprising:

[0007] Traffic data acquisition module, used to acquire traffic impact data and road monitoring data of the target road, and send the acquired traffic impact data and road monitoring data to the database for storage with a timestamp;

[0008] Traffic impact analysis module, used to analyze the traffic impact data of the target road within the target time interval, calculate the traffic impact factor of the target road within the target time interval, and stamp the calculated traffic impact factor with the timestamp of the target time interval and send it to the database for storage;

[0009] The traffic condition analysis module is used to analyze the road monitoring data within the target time interval of the target road, calculate the traffic condition coefficient of the target road within the target time interval, and determine the traffic condition level of the target road within the target time interval based on the calculated traffic condition coefficient. The obtained traffic condition level is marked with the timestamp of the target time interval and sent to the database for storage;

[0010] A traffic association table generation module is used to obtain the traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, analyze and generate a traffic association table for the target road in the recent period of the same time period as the current time point based on the obtained traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, and send it to the database for storage;

[0011] The early warning analysis module is used to obtain the traffic impact factor, traffic condition level and traffic correlation table of the target road in the recent period of the same type as the time period at the current time point in the second time interval, and analyze and determine whether it is necessary to issue an abnormal early warning for the traffic control of the target road at the current time point based on the obtained traffic impact factor, traffic condition level and traffic correlation table of the target road in the recent period of the same type as the time period at the current time point.

[0012] Furthermore, the traffic impact data includes: date data, weather data, social event data and road maintenance data; the date data is obtained through data acquisition equipment, the weather data is obtained through a networked meteorological station, and the social event data and road maintenance data are obtained through networked relevant department systems; the road monitoring data refers to monitoring data of roads and vehicles in road traffic.

[0013] Furthermore, the first time interval refers to a complete time interval of the time period type to which the current time point belongs, and the second time interval refers to a time interval of the same day that has passed and which is of the same time period type as that to which the current time point belongs.

[0014] Furthermore, the time period types include: morning traffic peak period, evening traffic peak period, morning traffic off-peak period, evening traffic off-peak period and normal traffic period.

[0015] Furthermore, the specific analysis process of the traffic impact analysis module includes:

[0016] Send data extraction information to the database to obtain traffic impact data for the target road within the target time interval;

[0017] The traffic impact data acquired within the target time interval of the target road is traversed to obtain the date type, rainfall, wind speed, visibility, road construction closure area ratio, road construction closure time interval, and whether there are large-scale gathering social events within the preset distance range;

[0018] The date type is marked as R; if the date type is a statutory holiday, then R=R1; if the date type is a weekend, then R=R2; if the date type is a working day, then R=R3; and R3<R2<R1;

[0019] The target time interval is labeled (tstart, tend) and the road closure time interval is labeled (t0start, t0end). If the target time interval overlaps with the road closure time interval, the overlap ratio between the target time interval and the road closure time interval is calculated and labeled C. The formula is: If the target time interval does not overlap with the road construction closure time interval, then C = 0;

[0020] The presence of a large-scale social event within a preset distance range is used as a parameter and marked as S. If there is a large-scale social event within the preset distance range of the target road within the target time interval, then S=S1; if there is no large-scale social event within the preset distance range of the target road within the target time interval, then S=S2; and S1>S2;

[0021] And the environmental impact coefficient H of the target road within the target time interval is calculated based on rainfall, wind speed and visibility. The calculation formula is: Where FJ, VF and SN are the numerical representations of rainfall, wind speed and visibility respectively, a1, a2 and a3 are the preset proportional coefficients of rainfall, wind speed and visibility respectively, and the values of a1, a2 and a3 are all greater than 0;

[0022] Extract the date type, environmental impact coefficient, road construction closure area rate, whether there are large-scale social events within the preset distance range, and the overlap rate of the target time interval and the road construction closure time interval within the target road target time interval, assign a preset weight coefficient to each value, and add them up to obtain the traffic impact factor within the target time interval of the target road. The calculated traffic impact factor is marked with the timestamp of the target time interval and sent to the database for associated storage with the traffic impact data within the target time interval.

[0023] Furthermore, the specific analysis process of the traffic condition analysis module includes:

[0024] Send data extraction information to the database to obtain road monitoring data for the target road and target time interval;

[0025] Traverse the acquired road monitoring data for the target time interval of the target road to obtain the number of vehicles passing through the target road per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points set on the target road within the target time interval;

[0026] The average values of the number of vehicles passing through per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points are calculated to obtain the average value NP of the number of vehicles passing through per unit time, the average value NC of the number of vehicles per unit road length, and the average value ND of the total distance traveled by vehicles per unit time;

[0027] Calculate the traffic condition coefficient X of the target road within the target time interval. The calculation formula is:

[0028] Where t represents unit time; L represents unit road length; Vq represents natural flow velocity; d1, d2, and d3 are the preset weight coefficients of traffic volume, vehicle density, and congestion index of the target road within the target time interval; and the values of d1, d2, and d3 are all greater than 0;

[0029] A first traffic condition coefficient limit value X1 and a second traffic condition coefficient limit value X2 are preset for the traffic condition of the target road; the calculated traffic condition coefficient of the target road in the target time interval is compared with the first traffic condition coefficient limit value X1 and the second traffic condition coefficient limit value X2, respectively, to analyze and determine the traffic condition level of the target road in the target time interval;

[0030] If X<X1, the traffic condition level of the target road section within the target time interval is marked as good;

[0031] If X1≤X<X2, the traffic condition level of the target road section within the target time interval is marked as normal;

[0032] If X ≥ X2, the traffic condition level of the target road section within the target time interval is marked as poor;

[0033] Among them, the poor traffic condition level is lower than the fair traffic condition level, and the fair traffic condition level is lower than the good traffic condition level;

[0034] The traffic condition level of the target road determined by the analysis is marked with the timestamp of the target time interval and sent to the database for associated storage with the traffic impact factors and road monitoring data within the target time interval.

[0035] Furthermore, the specific analysis process of the traffic association table generation module includes:

[0036] Get the current time point, determine the time period type based on the current time point; get the complete time interval of the corresponding time period based on the time period type of the current time point, and mark the time interval as the first time interval;

[0037] A request signal for calculating a traffic impact factor for a first time interval of the previous day is generated and sent to the traffic impact analysis module, and a request signal for determining a traffic condition level for the first time interval of the previous day is generated and sent to the traffic condition analysis module; the traffic impact analysis module sends the calculated traffic impact factor for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association table generation module; the traffic condition analysis module sends the determined traffic condition level for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association generation module;

[0038] After obtaining feedback signals from the traffic impact analysis module and the traffic condition analysis module, extracting the traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days from the database;

[0039] Divide the traffic impact factors of the target road in a first time interval within a preset number of days in the past according to the traffic condition level type, and obtain a sequence of traffic impact factors belonging to the same traffic condition level in the first time interval;

[0040] The mean and standard deviation of each traffic impact factor contained in the obtained traffic impact factor sequence belonging to the same traffic condition level in the first time interval are calculated. The calculation formulas for the mean and standard deviation of the traffic impact factors are:

[0041]

[0042] Where Yi represents the traffic impact factor of the historical date numbered i in the first time interval within the past preset number of days, and i = 1, 2...n; n represents the total number of past preset days; μ Y and σ Y are the mean and standard deviation of the traffic impact factor in the first time interval within the past preset number of days;

[0043] According to the calculation formula Calculate the absolute value of the standard score of the traffic factor for the first time interval of the historical date numbered i within the past preset number of days |Zt,i|; if |Zt,i| is greater than 3, the corresponding traffic impact factor is eliminated; and then obtain the traffic impact factor dataset corresponding to each traffic condition level of the target road in the first time interval within the past preset number of days;

[0044] The maximum and minimum values in the traffic impact factor data set of each traffic condition level in the first time interval of the target road in the past preset days are obtained to form the traffic impact factor range value of each traffic condition level of the time period type of the target road in the past preset days; the time period type, each traffic condition level type and each traffic factor range value of the obtained target road in the first time interval in the past preset days are mapped and associated to obtain a traffic association table of the target road in the recent period with the same time period type as the current time point, and send it to the database for storage.

[0045] Furthermore, the analysis process of the early warning analysis module includes:

[0046] Get the current time point and determine the current time period type based on the current time point;

[0047] According to the current time point and the current time period type, obtaining a time interval of the same day as the current time period type and having passed, and marking the time interval as a second time interval;

[0048] generating a request signal for calculating the traffic impact factor for the second time interval and sending it to the traffic impact analysis module, and generating a request signal for determining the traffic condition level for the second time interval and sending it to the traffic condition analysis module; after the traffic impact analysis module and the traffic condition analysis module complete their respective tasks, the corresponding analysis results are sent to a database for storage, and a feedback signal is sent to the early warning analysis module;

[0049] After obtaining feedback signals from the traffic impact analysis module and the traffic condition analysis module, extracting the traffic impact factor and traffic condition level for the second time interval and a traffic association table for the target road in the recent period of the same type as the current time point from the database, matching the traffic impact factor for the second time interval with the traffic association table for the target road in the recent period of the same type as the current time point to obtain a predicted traffic condition level for the second time interval;

[0050] comparing the traffic condition level of the target road in the second time interval with the obtained predicted traffic condition level of the second time interval;

[0051] If the traffic condition level of the target road in the second time interval is equal to or higher than the obtained predicted traffic condition level of the second time interval, no further processing is performed;

[0052] If the traffic condition level of the target road in the second time interval is lower than the predicted traffic condition level of the obtained second time interval, an early warning signal of traffic control abnormality of the target road is generated and sent to the management background to notify relevant personnel to deal with the abnormality in time.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. In the present invention, the traffic impact factor of the target road in the target time interval is analyzed and calculated by combining the data of multiple dimensions that can affect the traffic operation of the target road through the traffic impact analysis module; and the traffic condition coefficient of the target road in the target time interval is calculated by combining the multi-dimensional data analysis of the traffic volume, vehicle density and congestion index during the traffic operation of the target road through the traffic condition analysis module, and the traffic condition level of the target road in the target time interval is determined based on the traffic condition coefficient analysis; it can comprehensively reflect the impact of the traffic impact factors in the target road in the target time interval on road traffic, and comprehensively reflect the traffic condition of the target road in the target time interval; in addition, it provides a reference basis for the subsequent association of traffic impact factors with traffic condition levels and early warning analysis results of traffic control anomalies.

[0055] 2. In the present invention, the traffic correlation table generation module analyzes the traffic impact factors and corresponding traffic condition levels of the target road in the first time interval within a preset number of days in the past, and obtains a traffic correlation table for the target road in the recent period of the same type as the current time point. This traffic correlation table can well reflect the recent changes in traffic and population travel trends on the target road, keep pace with the times, and facilitate the prediction of the traffic condition coefficient for the second time interval of the same day; it also provides a reference basis for the subsequent early warning analysis results of traffic control anomalies and facilitates traffic safety management of the target road.

[0056] 3. In the present invention, the traffic impact factor of the second time interval, the traffic condition level and the traffic association table of the target road in the recent period of the same type as the current time point are analyzed by the early warning analysis module to obtain the predicted traffic condition level of the second time interval, and the calculated traffic condition level is compared with the predicted traffic condition level to analyze whether the traffic road control method of the current period can continue to use the recent traffic road control method. If the calculated traffic condition level is lower than the predicted traffic condition level, it means that the current traffic road control method is not applicable, and an immediate warning is required and relevant personnel are notified in time to handle it to ensure traffic road safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a structural diagram of an intelligent road traffic control safety management system of the present invention. DETAILED DESCRIPTION

[0058] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] like Figure 1 As shown, a smart road traffic control safety management system includes:

[0060] Traffic data acquisition module, used to acquire traffic impact data and road monitoring data of the target road, and send the acquired traffic impact data and road monitoring data to the database for storage with a timestamp;

[0061] Traffic impact analysis module, used to analyze the traffic impact data of the target road within the target time interval, calculate the traffic impact factor of the target road within the target time interval, and stamp the calculated traffic impact factor with the timestamp of the target time interval and send it to the database for storage;

[0062] The traffic condition analysis module is used to analyze the road monitoring data within the target time interval of the target road, calculate the traffic condition coefficient of the target road within the target time interval, and determine the traffic condition level of the target road within the target time interval based on the calculated traffic condition coefficient. The obtained traffic condition level is marked with the timestamp of the target time interval and sent to the database for storage;

[0063] A traffic association table generation module is used to obtain the traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, analyze and generate a traffic association table for the target road in the recent period of the same time period as the current time point based on the obtained traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, and send it to the database for storage;

[0064] an early warning analysis module, configured to obtain a traffic impact factor and a traffic condition level for the second time interval, as well as a traffic association table for the target road in the recent period of the same type as the time period at the current time point, and to analyze and determine whether an abnormality early warning is required for traffic control on the target road at the current time point based on the obtained traffic impact factor and traffic condition level for the second time interval, as well as the traffic association table for the target road in the recent period of the same type as the time period at the current time point;

[0065] A database for storing acquired traffic impact data, road monitoring data, traffic impact factors, traffic condition levels, and traffic association tables;

[0066] In order to manage traffic safety more intelligently, although the existing intelligent traffic control technology has greatly improved the ability to monitor, analyze and optimize the control of the traffic system in real time, there are still some unforeseen complex situations and technical omissions. These situations may require manual intervention at critical moments to ensure the stability and safety of the traffic system. To this end, the present invention analyzes the traffic impact data and road monitoring data of the historical period to obtain the recent traffic correlation table of the target road, and analyzes the traffic impact data and road monitoring data of the time interval that has passed the current period. According to the traffic correlation table, the predicted traffic conditions at the current time are obtained, and the actual traffic conditions at the current time are compared with the predicted traffic conditions. If the actual traffic conditions at the current time are not as good as the predicted traffic conditions, it is necessary to send an early warning signal in time to notify relevant personnel to handle it and ensure the safety of road traffic.

[0067] Optionally, the traffic impact data includes: date data, weather data, social event data, road maintenance data, etc.; the date data is directly obtained through data acquisition equipment, the weather data is obtained through a networked meteorological station, and the social event data and road maintenance data are obtained through networked relevant department systems; the road monitoring data refers to road and vehicle monitoring data of road traffic;

[0068] It should be noted that the road to be studied is marked as the target road, and the first time interval and the second time interval to be studied subsequently are marked as the target time intervals; the first time interval refers to the complete time interval of the time period type to which the current time point belongs, and the second time interval refers to the time interval of the same time period type as the current time point and which has already passed; it can be understood that according to people's travel time, time period types can be divided into morning peak period, evening peak period, morning low period, evening low period, and normal period, and the same time period only appears once in a day; the specific setting method and corresponding time intervals are divided according to the local transportation department;

[0069] Optionally, the specific analysis process of the traffic impact analysis module includes:

[0070] Sending data extraction information to the database to obtain traffic impact data for the target road within the target time interval; it should be noted that if the target time interval is the first time interval, the traffic impact data for the first time interval of the previous day is extracted; if the target time interval is the second time interval, the traffic impact data for the target road for the time interval of the same day that has passed and is of the same time period as the current time point is extracted;

[0071] The traffic impact data acquired within the target time interval of the target road is traversed to obtain the date type, rainfall, wind speed, visibility, road construction closure area ratio, road construction closure time interval, and whether there are large-scale gathering social events within the preset distance range;

[0072] The date type is marked as R; if the date type is a statutory holiday, then R=R1; if the date type is a weekend, then R=R2; if the date type is a working day, then R=R3; and R3<R2<R1;

[0073] The target time interval is labeled (tstart, tend) and the road closure time interval is labeled (t0start, t0end). If the target time interval overlaps with the road closure time interval, the overlap ratio between the target time interval and the road closure time interval is calculated and labeled C. The formula is: If the target time interval does not overlap with the road construction closure time interval, then C = 0;

[0074] The presence of a large-scale social event within the preset distance range refers to whether there is a large-scale social event that can cause traffic congestion within the preset distance range from the target road, such as a music festival, concert, sports event, exhibition and exposition, holiday celebration, etc.; the presence of a large-scale social event within the preset distance range is used as a parameter and marked as S. If there is a large-scale social event within the preset distance range of the target road within the target time interval, S=S1; if there is no large-scale social event within the preset distance range of the target road within the target time interval, S=S2; and S1>S2;

[0075] And the environmental impact coefficient H of the target road within the target time interval is calculated based on rainfall, wind speed and visibility. The calculation formula is: Where FJ, VF and SN are the numerical representations of rainfall, wind speed and visibility respectively, a1, a2 and a3 are the preset proportional coefficients of rainfall, wind speed and visibility respectively, and the values of a1, a2 and a3 are all greater than 0;

[0076] Extract the date type, environmental impact coefficient, road construction closure area ratio, whether there are large-scale social events within a preset distance range, and the overlap ratio of the target time interval and the road construction closure time interval within the target road target time interval, assign a preset weight coefficient to each value, and add them together to obtain the traffic impact factor within the target road target time interval. The calculated traffic impact factor is stamped with the target time interval timestamp and sent to the database for associated storage with the traffic impact data within the target time interval;

[0077] It is understood that if the traffic impact factor of the target road in the first time interval is calculated, the date of the previous day and the timestamp of the first time interval are added; if the traffic impact factor of the target road in the second time interval is calculated, the date of the current day and the timestamp of the time interval that has passed during the current time period are added;

[0078] The smaller the values of the date type, environmental impact coefficient, road construction closure area ratio, presence of large-scale social events within the preset distance range, and the overlap ratio between the target time interval and the road construction closure time interval within the target road's target time interval, the less impact these traffic influencing factors have on traffic operations on the target road, thus facilitating road traffic operations.

[0079] The values of the preset weighting coefficients for R1, R2, R3, S1, S2, a1, a2, a3, the date type within the target time interval of the target road, the environmental impact coefficient, the road construction closure area ratio, the presence of large-scale social events within the preset distance range, and the overlap ratio between the target time interval and the road construction closure time interval are obtained by relevant technical personnel based on the calculation of a large number of traffic impact factors and analysis of actual conditions;

[0080] Optionally, the specific analysis process of the traffic condition analysis module includes:

[0081] Sending data extraction information to the database to obtain road monitoring data for the target road during the target time interval; it should be noted that if the target time interval is the first time interval, then the road monitoring data for the first time interval of the previous day is extracted; if the target time interval is the second time interval, then the road monitoring data for the target road during the time interval of the same day as the current time point and which has already passed is extracted;

[0082] Traverse the acquired road monitoring data for the target time interval of the target road to obtain the number of vehicles passing through the target road per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points set on the target road within the target time interval;

[0083] The average values of the number of vehicles passing through per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points are calculated to obtain the average value NP of the number of vehicles passing through per unit time, the average value NC of the number of vehicles per unit road length, and the average value ND of the total distance traveled by vehicles per unit time;

[0084] Calculate the traffic condition coefficient X of the target road within the target time interval. The calculation formula is:

[0085] Where t represents unit time; L represents unit road length; Vq represents natural flow velocity; d1, d2, and d3 are the preset weight coefficients of traffic volume, vehicle density, and congestion index of the target road within the target time interval; and the values of d1, d2, and d3 are all greater than 0;

[0086] The smaller the traffic volume, vehicle density and congestion index of the target road in the target time interval, the better the traffic condition of the target road in the target time interval.

[0087] A first traffic condition coefficient limit value X1 and a second traffic condition coefficient limit value X2 are preset for the traffic condition of the target road; the calculated traffic condition coefficient of the target road in the target time interval is compared with the first traffic condition coefficient limit value X1 and the second traffic condition coefficient limit value X2, respectively, to analyze and determine the traffic condition level of the target road in the target time interval;

[0088] If X<X1, the traffic condition level of the target road section within the target time interval is marked as good;

[0089] If X1≤X<X2, the traffic condition level of the target road section within the target time interval is marked as normal;

[0090] If X ≥ X2, the traffic condition level of the target road section within the target time interval is marked as poor;

[0091] Among them, the poor traffic condition level is lower than the fair traffic condition level, and the fair traffic condition level is lower than the good traffic condition level;

[0092] The values of d1, d2, d3, X1, and X2 are determined by relevant technical personnel based on a large number of traffic condition coefficient calculations and analysis of actual conditions;

[0093] The traffic condition level of the target road determined by the analysis is marked with the timestamp of the target time interval and sent to the database for association and storage with the traffic impact factors and road monitoring data within the target time interval;

[0094] In the present invention, the traffic impact factor of the target road in the target time interval is analyzed and calculated by combining the data of multiple dimensions that can affect the traffic operation of the target road through the traffic impact analysis module; and the traffic condition coefficient of the target road in the target time interval is calculated by combining the multi-dimensional data analysis of the traffic volume, vehicle density and congestion index during the traffic operation of the target road through the traffic condition analysis module, and the traffic condition level of the target road in the target time interval is determined based on the traffic condition coefficient analysis; it can comprehensively reflect the impact of the traffic impact factors in the target road in the target time interval on road traffic, and comprehensively reflect the traffic condition of the target road in the target time interval; in addition, it provides a reference basis for the subsequent association of traffic impact factors with traffic condition levels and the early warning analysis results of traffic control anomalies;

[0095] Optionally, the specific analysis process of the traffic association table generation module includes:

[0096] Get the current time point, determine the time period type based on the current time point; get the complete time interval of the corresponding time period based on the time period type of the current time point, and mark the time interval as the first time interval;

[0097] A request signal for calculating a traffic impact factor for a first time interval of the previous day is generated and sent to the traffic impact analysis module, and a request signal for determining a traffic condition level for the first time interval of the previous day is generated and sent to the traffic condition analysis module; the traffic impact analysis module sends the calculated traffic impact factor for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association table generation module; the traffic condition analysis module sends the determined traffic condition level for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association generation module;

[0098] After receiving feedback signals from the traffic impact analysis module and the traffic condition analysis module, the traffic impact factors and corresponding traffic condition levels for the first time interval within a preset number of days in the past are extracted from the database. It is understood that in order to closely follow the traffic population travel and traffic rule changes of the day, the traffic impact factors and traffic condition levels for the second time interval of multiple consecutive historical dates are specifically extracted. This can better adapt to and reflect similar traffic patterns and behaviors that may occur on the day, and the continuous historical data in the short term can reflect travel patterns and trend changes, thereby improving the accuracy of traffic forecasting and management.

[0099] Divide the traffic impact factors of the target road in a first time interval within a preset number of days in the past according to the traffic condition level type, and obtain a sequence of traffic impact factors belonging to the same traffic condition level in the first time interval;

[0100] The mean and standard deviation of each traffic impact factor contained in the obtained traffic impact factor sequence belonging to the same traffic condition level in the first time interval are calculated. The calculation formulas for the mean and standard deviation of the traffic impact factors are:

[0101]

[0102] Where Yi represents the traffic impact factor of the historical date numbered i in the first time interval within the past preset number of days, and i = 1, 2...n; n represents the total number of past preset days; μ Y and σ Y are the mean and standard deviation of the traffic impact factor in the first time interval within the past preset number of days;

[0103] According to the calculation formula Calculate the absolute value of the standard score of the traffic factor in the first time interval for the historical date numbered i within the past preset number of days |Zt,i|; if |Zt,i| is greater than 3, the corresponding traffic impact factor will be eliminated;

[0104] It is understandable that, according to the standard normal distribution, approximately 99.7% of the data points fall within the range of ±3 standard deviations of the mean, which means that the number of data points exceeding 3 standard deviations is very small, accounting for approximately 0.3% of the total data points. These data points are considered extreme values, i.e., outliers. However, in the present application, the calculation of traffic impact factors and the judgment of traffic condition levels may be inaccurate, data storage may be tampered with, and traffic impact factors and traffic condition levels may not correspond. In order to obtain a traffic correlation table reflecting the recent target road traffic change trend, each traffic impact factor contained in the obtained traffic impact factor sequence belonging to the same traffic condition level in the first time interval is processed in this way;

[0105] Then, a traffic impact factor dataset corresponding to each traffic condition level of the target road in the first time interval within the past preset number of days is obtained;

[0106] The maximum and minimum values in the traffic impact factor dataset for each traffic condition level in the first time interval of the target road in the past preset number of days are obtained to form a traffic impact factor range value for each traffic condition level of the time period type of the target road in the first time interval in the past preset number of days; the time period type, each traffic condition level type, and each traffic factor range value obtained for the target road in the first time interval in the past preset number of days are mapped and associated to obtain a traffic association table for the target road in the recent period that has the same time period type as the current time point, and the table is sent to the database for storage;

[0107] In the present invention, a traffic correlation table generation module analyzes the traffic impact factors and corresponding traffic condition levels of a target road in a first time interval over a preset number of days in the past, thereby obtaining a traffic correlation table for the target road in the recent period of the same type as the current time point. This traffic correlation table can well reflect the recent trend changes in traffic and population travel on the target road, and can also keep pace with the times, facilitating the prediction of the traffic condition coefficient for the second time interval of the same day; it also provides a reference basis for the subsequent early warning analysis results of traffic control anomalies, and facilitates traffic safety management of the target road.

[0108] Optionally, the analysis process of the early warning analysis module includes:

[0109] Get the current time point and determine the current time period type based on the current time point;

[0110] According to the current time point and the current time period type, a time interval of the same day as the current time period type and which has already passed is obtained, and the time interval is marked as a second time interval; wherein the second time interval can be set by a technician, and when the second time interval of each time period appears, subsequent operations are performed;

[0111] generating a request signal for calculating the traffic impact factor for the second time interval and sending it to the traffic impact analysis module, and generating a request signal for determining the traffic condition level for the second time interval and sending it to the traffic condition analysis module; after the traffic impact analysis module and the traffic condition analysis module complete their respective tasks, the corresponding analysis results are sent to a database for storage, and a feedback signal is sent to the early warning analysis module;

[0112] After obtaining feedback signals from the traffic impact analysis module and the traffic condition analysis module, extracting the traffic impact factor and traffic condition level for the second time interval and a traffic association table for the target road in the recent period of the same type as the current time point from the database, matching the traffic impact factor for the second time interval with the traffic association table for the target road in the recent period of the same type as the current time point to obtain a predicted traffic condition level for the second time interval;

[0113] It should be noted that the time period type of the current first time interval and the time period type of the second time interval are the same; however, the first time interval is a complete time interval of the corresponding time period type, while the second time interval is a partial time interval of the corresponding time period type. For example, if the complete time interval during the morning rush hour is from 6:00 to 10:00, then the first time interval is from 6:00 to 10:00, and the second time interval is from 6:00 to 7:00 on the same day;

[0114] comparing the traffic condition level of the target road in the second time interval with the obtained predicted traffic condition level of the second time interval;

[0115] If the traffic condition level of the target road in the second time interval is equal to or higher than the obtained predicted traffic condition level of the second time interval, no further processing is performed;

[0116] If the traffic condition level of the target road in the second time interval is lower than the predicted traffic condition level of the second time interval, an early warning signal of traffic control abnormality on the target road is generated and sent to the management backend to notify relevant personnel to handle the abnormality in a timely manner;

[0117] In the present invention, the traffic impact factor of the second time interval, the traffic condition level and the traffic correlation table of the target road in the recent period of the same type as the current time point are analyzed by the early warning analysis module to obtain the predicted traffic condition level of the second time interval, and the calculated traffic condition level is compared with the predicted traffic condition level to analyze whether the traffic road control method of the current period can continue to use the recent traffic road control method. If the calculated traffic condition level is lower than the predicted traffic condition level, it means that the current traffic road control method is not applicable, and it is necessary to immediately issue an early warning and promptly notify relevant personnel to handle it to ensure traffic road safety.

[0118] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0119] In the embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is merely a logical functional division, and other division methods may be used in actual implementation. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.

[0120] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent road traffic control and safety management system, characterized by: include: Traffic data acquisition module, used to acquire traffic impact data and road monitoring data of the target road, and send the acquired traffic impact data and road monitoring data to the database for storage with a timestamp; Traffic impact analysis module, used to analyze the traffic impact data of the target road within the target time interval, calculate the traffic impact factor of the target road within the target time interval, and stamp the calculated traffic impact factor with the timestamp of the target time interval and send it to the database for storage; The traffic condition analysis module is used to analyze the road monitoring data within the target time interval of the target road, calculate the traffic condition coefficient of the target road within the target time interval, and determine the traffic condition level of the target road within the target time interval based on the calculated traffic condition coefficient. The obtained traffic condition level is marked with the timestamp of the target time interval and sent to the database for storage; A traffic association table generation module is used to obtain the traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, analyze and generate a traffic association table for the target road in the recent period of the same time period as the current time point based on the obtained traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days, and send it to the database for storage; The early warning analysis module is used to obtain the traffic impact factor, traffic condition level and traffic correlation table of the target road in the recent period of the same type as the time period at the current time point in the second time interval, and analyze and determine whether it is necessary to issue an abnormal early warning for the traffic control of the target road at the current time point based on the obtained traffic impact factor, traffic condition level and traffic correlation table of the target road in the recent period of the same type as the time period at the current time point.

2. The intelligent road traffic control and safety management system according to claim 1, characterized in that: The traffic impact data includes: date data, weather data, social event data and road maintenance data; the date data is obtained through data acquisition equipment, the weather data is obtained through networked meteorological stations, and the social event data and road maintenance data are obtained through networked relevant department systems; the road monitoring data refers to monitoring data of roads and vehicles in road traffic.

3. The intelligent road traffic control and safety management system according to claim 1 is characterized by: The first time interval refers to a complete time interval of the time period type to which the current time point belongs, and the second time interval refers to a time interval of the same day as the time period type to which the current time point belongs and which has already passed.

4. The intelligent road traffic control and safety management system according to claim 1, characterized in that: The time period types include: morning traffic peak period, evening traffic peak period, morning traffic trough period, evening traffic trough period and normal traffic period.

5. The intelligent road traffic control and safety management system according to claim 3 is characterized by: The specific analysis process of the traffic impact analysis module includes: Send data extraction information to the database to obtain traffic impact data for the target road within the target time interval; The traffic impact data acquired within the target time interval of the target road is traversed to obtain the date type, rainfall, wind speed, visibility, road construction closure area ratio, road construction closure time interval, and whether there are large-scale gathering social events within the preset distance range; The date type is marked as R; if the date type is a statutory holiday, then R=R1; if the date type is a weekend, then R=R2; if the date type is a working day, then R=R3; and R3<R2<R1; The target time interval is labeled (tstart, tend) and the road closure time interval is labeled (t0start, t0end). If the target time interval overlaps with the road closure time interval, the overlap ratio between the target time interval and the road closure time interval is calculated and labeled C. The formula is: If the target time interval does not overlap with the road construction closure time interval, then C = 0; The presence of a large-scale social event within a preset distance range is used as a parameter and marked as S. If there is a large-scale social event within the preset distance range of the target road within the target time interval, then S=S1; if there is no large-scale social event within the preset distance range of the target road within the target time interval, then S=S2; and S1>S2; And the environmental impact coefficient H of the target road within the target time interval is calculated based on rainfall, wind speed and visibility. The calculation formula is: Where FJ, VF and SN are the numerical representations of rainfall, wind speed and visibility respectively, a1, a2 and a3 are the preset proportional coefficients of rainfall, wind speed and visibility respectively, and the values of a1, a2 and a3 are all greater than 0; Extract the date type, environmental impact coefficient, road construction closure area rate, whether there are large-scale social events within the preset distance range, and the overlap rate of the target time interval and the road construction closure time interval within the target road target time interval, assign a preset weight coefficient to each value, and add them up to obtain the traffic impact factor within the target time interval of the target road. The calculated traffic impact factor is marked with the timestamp of the target time interval and sent to the database for associated storage with the traffic impact data within the target time interval.

6. The intelligent road traffic control and safety management system according to claim 3 is characterized by: The specific analysis process of the traffic condition analysis module includes: Send data extraction information to the database to obtain road monitoring data for the target road and target time interval; Traverse the acquired road monitoring data for the target time interval of the target road to obtain the number of vehicles passing through the target road per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points set on the target road within the target time interval; The average values of the number of vehicles passing through per unit time, the number of vehicles per unit road length, and the total distance traveled by vehicles per unit time at several monitoring points are calculated to obtain the average value NP of the number of vehicles passing through per unit time, the average value NC of the number of vehicles per unit road length, and the average value ND of the total distance traveled by vehicles per unit time; Calculate the traffic condition coefficient X of the target road within the target time interval. The calculation formula is: Where t represents unit time; L represents unit road length; Vq represents natural flow velocity; d1, d2, and d3 are the preset weight coefficients of traffic volume, vehicle density, and congestion index of the target road within the target time interval; and the values of d1, d2, and d3 are all greater than 0; A first traffic condition coefficient limit value X1 and a second traffic condition coefficient limit value X2 are preset for the traffic condition of the target road; the calculated traffic condition coefficient of the target road in the target time interval is compared with the first traffic condition coefficient limit value X1 and the second traffic condition coefficient limit value X2, respectively, to analyze and determine the traffic condition level of the target road in the target time interval; If X<X1, the traffic condition level of the target road section within the target time interval is marked as good; If X1≤X<X2, the traffic condition level of the target road section within the target time interval is marked as normal; If X ≥ X2, the traffic condition level of the target road section within the target time interval is marked as poor; Among them, the poor traffic condition level is lower than the fair traffic condition level, and the fair traffic condition level is lower than the good traffic condition level; The traffic condition level of the target road determined by the analysis is marked with the timestamp of the target time interval and sent to the database for associated storage with the traffic impact factors and road monitoring data within the target time interval.

7. The intelligent road traffic control and safety management system according to claim 1, characterized in that: The specific analysis process of the traffic association table generation module includes: Get the current time point, determine the time period type based on the current time point; get the complete time interval of the corresponding time period based on the time period type of the current time point, and mark the time interval as the first time interval; A request signal for calculating a traffic impact factor for a first time interval of the previous day is generated and sent to the traffic impact analysis module, and a request signal for determining a traffic condition level for the first time interval of the previous day is generated and sent to the traffic condition analysis module; the traffic impact analysis module sends the calculated traffic impact factor for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association table generation module; the traffic condition analysis module sends the determined traffic condition level for the first time interval of the previous day to a database for storage, and sends a feedback signal to the traffic association generation module; After obtaining feedback signals from the traffic impact analysis module and the traffic condition analysis module, extracting the traffic impact factor and the corresponding traffic condition level for the first time interval within the past preset number of days from the database; Divide the traffic impact factors of the target road in a first time interval within a preset number of days in the past according to the traffic condition level type, and obtain a sequence of traffic impact factors belonging to the same traffic condition level in the first time interval; The mean and standard deviation of each traffic impact factor contained in the obtained traffic impact factor sequence belonging to the same traffic condition level in the first time interval are calculated. The calculation formulas for the mean and standard deviation of the traffic impact factors are: Where Yi represents the traffic impact factor of the historical date numbered i in the first time interval within the past preset number of days, and i = 1, 2...n; n represents the total number of past preset days; μ Y and σ Y are the mean and standard deviation of the traffic impact factor in the first time interval within the past preset number of days; According to the calculation formula Calculate the absolute value of the standard score of the traffic factor for the first time interval of the historical date numbered i within the past preset number of days |Zt,i|; if |Zt,i| is greater than 3, the corresponding traffic impact factor is eliminated; and then obtain the traffic impact factor dataset corresponding to each traffic condition level of the target road in the first time interval within the past preset number of days; The maximum and minimum values in the traffic impact factor data set of each traffic condition level in the first time interval of the target road in the past preset days are obtained to form the traffic impact factor range value of each traffic condition level of the time period type of the target road in the past preset days; the time period type, each traffic condition level type and each traffic factor range value of the obtained target road in the first time interval in the past preset days are mapped and associated to obtain a traffic association table of the target road in the recent period with the same time period type as the current time point, and send it to the database for storage.

8. The intelligent road traffic control and safety management system according to claim 6, characterized in that: The analysis process of the early warning analysis module includes: Get the current time point and determine the current time period type based on the current time point; According to the current time point and the current time period type, obtaining a time interval of the same day as the current time period type and having passed, and marking the time interval as a second time interval; generating a request signal for calculating the traffic impact factor for the second time interval and sending it to the traffic impact analysis module, and generating a request signal for determining the traffic condition level for the second time interval and sending it to the traffic condition analysis module; after the traffic impact analysis module and the traffic condition analysis module complete their respective tasks, the corresponding analysis results are sent to a database for storage, and a feedback signal is sent to the early warning analysis module; After obtaining feedback signals from the traffic impact analysis module and the traffic condition analysis module, extracting the traffic impact factor and traffic condition level for the second time interval and a traffic association table for the target road in the recent period of the same type as the current time point from the database, matching the traffic impact factor for the second time interval with the traffic association table for the target road in the recent period of the same type as the current time point to obtain a predicted traffic condition level for the second time interval; comparing the traffic condition level of the target road in the second time interval with the obtained predicted traffic condition level of the second time interval; If the traffic condition level of the target road in the second time interval is equal to or higher than the obtained predicted traffic condition level of the second time interval, no further processing is performed; If the traffic condition level of the target road in the second time interval is lower than the predicted traffic condition level of the obtained second time interval, an early warning signal of traffic control abnormality of the target road is generated and sent to the management background to notify relevant personnel to deal with the abnormality in time.

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