Expressway traffic accident emergency management system and method

Abstract

The invention relates to the technical field of traffic accident emergency management, in particular to a highway traffic accident emergency management system and method, and the system comprises a traffic data obtaining module which is used for obtaining accident severity data and emergency lane obstruction degree data; the accident severity analysis module is used for generating an accident severity index according to the accident severity data and analyzing the accident severity according to the accident severity index; the emergency lane obstruction degree analysis module is used for generating an emergency lane obstruction degree index according to the emergency lane obstruction degree data and analyzing the emergency lane obstruction degree according to the emergency lane obstruction degree index; the emergency resource demand analysis module is used for generating an emergency resource demand index according to the accident severity index and the emergency lane obstruction degree index, and analyzing a traffic accident emergency resource demand according to the emergency resource demand index; according to the invention, rescue resources can be reasonably allocated, so that the emergency processing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic accident emergency management, and in particular to a highway traffic accident emergency management system and method. Background Art

[0002] Highways are closed and high-speed, which leads to greater impact when traffic accidents occur on highways. The casualties cannot be rescued in time, and the traffic accident section will cause long congestion. The highway traffic accident emergency management system and method are of great significance for rescuing casualties and handling traffic accidents to alleviate traffic congestion.

[0003] The existing traffic accident emergency management system obtains traffic accident location information and road information, analyzes potential dangers and emergencies based on the traffic accident location information and road information, and takes corresponding measures and response methods to potential dangers and emergencies to save lives and property, thereby achieving emergency management of traffic accidents.

[0004] For example, the invention patent with publication number: CN116303848A discloses an intelligent traffic accident emergency management system and method, including: a data processing module and an emergency response module. The data processing module includes a collection unit and a data processing unit. The collection unit obtains the location information of sudden traffic accidents through GPS, and the collection unit uses remote sensing technology to obtain road traffic volume. The data processing unit uses GIS technology to perform data management and spatial analysis. The data processing unit establishes an urban road network structure database. The emergency response module includes a data acquisition unit, an information release unit, a data management unit, a mitigation unit, a preparation unit, a recovery unit and a response unit.

[0005] For example, the traffic accident management method and traffic accident management system disclosed in the invention patent with publication number: CN114330087A include: receiving traffic accident data; creating a traffic accident management model based on the traffic accident data with the aid of machine learning technology, wherein the traffic accident management model is constructed to establish a correlation between the traffic accident data and the responsibility assessment of the traffic accident, and / or the traffic accident management model is constructed to establish a correlation between the traffic accident data and the maintenance costs of related vehicles; and managing traffic accidents based on the created traffic accident management model.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, corresponding emergency measures are taken by obtaining traffic accident location information and traffic road information. However, during the implementation of emergency measures, the emergency lane may be blocked, hindering the passage of rescue vehicles, wasting emergency resources, and causing unreasonable allocation of emergency resources, thereby reducing the emergency handling efficiency of traffic accidents on highways. Summary of the invention

[0008] The present invention solves the problem in the prior art that the emergency lane may be blocked during the implementation of emergency measures, hindering the passage of rescue vehicles, wasting emergency resources, and causing unreasonable allocation of emergency resources by providing an emergency management system and method for highway traffic accidents.

[0009] The present invention provides a highway traffic accident emergency management system, including: a traffic data acquisition module, an accident severity analysis module, an emergency lane obstruction degree analysis module and an emergency resource demand analysis module;

[0010] The traffic data acquisition module is used to acquire accident severity data and emergency lane obstruction degree data;

[0011] The accident severity analysis module is used to generate an accident severity index based on the accident severity data, and analyze the accident severity based on the accident severity index;

[0012] The emergency lane obstruction degree analysis module is used to generate an emergency lane obstruction degree index according to the emergency lane obstruction degree data, and analyze the emergency lane obstruction degree according to the emergency lane obstruction degree index;

[0013] The emergency resource demand analysis module is used to generate an emergency resource demand index according to the accident severity index and the emergency lane obstruction index, and analyze the traffic accident emergency resource demand according to the emergency resource demand index.

[0014] Further, the accident severity data includes the number of damaged vehicles, the minimum degree of damage to the vehicles, the number of vehicles involved in the traffic accident, and the lane occupied by the traffic accident;

[0015] The emergency lane obstruction degree data includes the real-time traffic flow of the emergency lane, the average speed of moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, the number of moving obstacles in the emergency lane and the maximum speed allowed for the emergency lane.

[0016] Further, the accident severity analysis module includes a first weight ratio acquisition module and an accident severity index calculation module;

[0017] The first weight ratio acquisition module is used to obtain the weight ratio of the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident in the accident severity index preset in the database;

[0018] The accident severity index calculation module is used to calculate the accident severity index based on the emergency lane obstruction degree data and the preset number of damaged vehicles, the number of vehicles involved in the traffic accident and the weight ratio of the lane occupied by the traffic accident in the accident severity index.

[0019] Further, the accident severity analysis module also includes an accident severity index analysis module;

[0020] The accident severity index analysis module is used to analyze whether the accident severity index is less than a preset accident severity index threshold. If so, the accident severity index is determined to be within a normal range of accident severity; otherwise, the accident severity index is determined to be within an abnormal range of accident severity.

[0021] Further, the emergency lane obstruction degree analysis module includes a second weight ratio acquisition module and an emergency lane obstruction degree index calculation module;

[0022] The second weight ratio acquisition module is used to obtain the weight ratios of the real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the number of moving obstacles in the emergency lane in the emergency lane obstruction degree index preset in the database;

[0023] The emergency lane obstruction degree index calculation module is used to calculate the emergency lane obstruction degree index based on the emergency lane obstruction degree data and the preset real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the weight ratio of the number of moving obstacles in the emergency lane in the emergency lane obstruction degree index.

[0024] Further, the emergency lane obstruction degree analysis module further includes an emergency lane obstruction degree index analysis module;

[0025] The emergency lane obstruction degree index analysis module is used to analyze whether the emergency lane obstruction degree index is less than a preset emergency lane obstruction degree index threshold. If so, it is determined that the emergency lane obstruction degree index is within a normal range of the emergency lane obstruction degree; otherwise, it is determined that the emergency lane obstruction degree index is within an abnormal range of the emergency lane obstruction degree.

[0026] Further, the emergency resource demand analysis module includes a third weight ratio acquisition module and an emergency resource demand index calculation module;

[0027] The third weight ratio acquisition module is used to obtain the weight ratio of the accident severity index and the emergency lane obstruction index preset in the database to the emergency resource demand index;

[0028] The emergency resource demand index calculation module is used to calculate the emergency resource demand index according to the accident severity index, the emergency lane obstruction index and the preset weight ratio of the accident severity index and the emergency lane obstruction index in the emergency resource demand index.

[0029] Further, the emergency resource demand analysis module also includes an emergency resource demand index analysis module;

[0030] The emergency resource demand index analysis module is used to analyze whether the emergency resource demand index is less than a preset emergency resource demand index threshold. If so, it is determined that the emergency resource demand index is within the normal range of emergency resource demand; otherwise, it is determined that the emergency resource demand index is within the abnormal range of emergency resource demand.

[0031] The present invention also discloses a highway traffic accident emergency management method, which comprises the following steps:

[0032] Obtain accident severity data and emergency lane obstruction data;

[0033] generating an accident severity index based on the accident severity data, and analyzing the accident severity based on the accident severity index;

[0034] generating an emergency lane obstruction degree index according to the emergency lane obstruction degree data, and analyzing the emergency lane obstruction degree according to the emergency lane obstruction degree index;

[0035] An emergency resource demand index is generated based on the accident severity index and the emergency lane obstruction index, and the traffic accident emergency resource demand is analyzed based on the emergency resource demand index.

[0036] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0037] The traffic data acquisition module is used to obtain accident severity data and emergency lane obstruction degree data for subsequent analysis. The accident severity analysis module generates an accident severity index based on the accident severity data, and analyzes the accident severity based on the accident severity index. Through the accident severity analysis module, the system can quantify the severity of the accident and provide objective data support. The emergency lane obstruction degree analysis module generates an emergency lane obstruction degree index based on the emergency lane obstruction degree data, and analyzes the emergency lane obstruction degree based on the emergency lane obstruction degree index. It can monitor and identify the congestion of the emergency lane in real time. The emergency resource demand analysis module generates an emergency resource demand index based on the accident severity index and the emergency lane obstruction degree index, and analyzes the emergency resource demand for traffic accidents based on the emergency resource demand index. Combined with the accident severity index and the emergency lane obstruction degree index, it can more accurately predict the required emergency resources, reasonably allocate rescue resources, and thus improve the efficiency of emergency handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A logical block diagram of the highway traffic accident emergency management system provided in the embodiment of the present application;

[0039] Figure 2 The emergency resource demand indicator curve diagram provided for the embodiment of the present application;

[0040] Figure 3 A flowchart of a highway traffic accident emergency management method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] The technical solution in the embodiment of the present application is to solve the problem of low efficiency of emergency handling when a traffic accident occurs on the above-mentioned highway. The overall idea is as follows:

[0042] The accident severity index is obtained by acquiring the accident severity data, and the accident severity is analyzed according to the accident severity index and corresponding measures are taken to alleviate traffic congestion. The emergency lane obstruction degree data is acquired to obtain the emergency lane obstruction degree index, and the emergency lane obstruction degree is analyzed according to the emergency lane obstruction degree index to obtain the smoothness of the emergency lane and take corresponding measures to ensure the rapid passage of emergency rescue vehicles. The emergency resource demand index is obtained according to the accident severity index and the emergency lane obstruction degree index, and the urgency of the emergency resource demand for traffic accidents is analyzed by the emergency resource demand index, and traffic accidents are handled in an orderly manner, thereby achieving the effect of improving the emergency handling efficiency when traffic accidents occur on highways.

[0043] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0044] As shown Figure 1 in the figure, it is a schematic structural diagram of the highway traffic accident emergency management system provided by the embodiment of the present application. The highway traffic accident emergency management system provided by the embodiment of the present application includes a traffic data acquisition module, an accident severity analysis module, an emergency lane obstruction degree analysis module, and an emergency resource demand analysis module. Among them, the traffic data acquisition module is used to acquire accident severity data and emergency lane obstruction degree data; the accident severity analysis module is used to generate an accident severity index according to the accident severity data and analyze the accident severity according to the accident severity index; the emergency lane obstruction degree analysis module is used to generate an emergency lane obstruction degree index according to the emergency lane obstruction degree data and analyze the emergency lane obstruction degree according to the emergency lane obstruction degree index; the emergency resource demand analysis module is used to generate an emergency resource demand index according to the accident severity index and the emergency lane obstruction degree index and analyze the traffic accident emergency resource demand according to the emergency resource demand index.

[0045] As a preferred solution, the accident severity data includes the number of damaged vehicles, the minimum damage degree of the vehicle, the number of vehicles involved in the traffic accident, and the lane where the traffic accident occurs; the emergency lane obstruction degree data includes the real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, the number of moving obstacles in the emergency lane, and the maximum allowable speed of the emergency lane.

[0046] In this embodiment, the traffic section for acquiring the emergency lane obstruction degree data is limited to 2 kilometers after the location of the traffic accident. The number of damaged vehicles, the minimum damage degree of the vehicle, the number of vehicles involved in the traffic accident, and the lane occupied by the traffic accident can be obtained by the accident-related personnel reporting to the police in combination with the monitoring video of the traffic accident occurrence section. In this embodiment, the minimum damage degree of the vehicle can be obtained by using accident analysis software to identify and evaluate the damage of all vehicles involved in the traffic accident in the monitoring video of the traffic accident occurrence section. It should be noted that the minimum damage degree of the vehicle is set as Y, and the minimum damage degree of the vehicle can be divided into slight damage (0≤Y≤20%), medium damage (20%<Y≤40%), and severe damage (Y>40%). Sort the damage degrees of all vehicles involved in the traffic accident obtained from large to small, and the smallest vehicle damage degree is the minimum damage degree of the vehicle. The real-time traffic flow of the emergency lane is directly obtained by transmitting the traffic monitoring video to the video analysis software. The number of stationary obstacles in the emergency lane is obtained by the intelligent transportation system. The number of moving obstacles in the emergency lane can be directly obtained by transmitting the traffic monitoring video to the video analysis software. The average speed of the moving obstacles in the emergency lane can be obtained by transmitting the traffic monitoring video to the video analysis software. The maximum allowable speed of the emergency lane can be obtained by relevant traffic regulations.

[0047] As a preferred solution, the accident severity analysis module includes a first weight ratio acquisition module and an accident severity index calculation module;

[0048] The first weight ratio acquisition module is used to obtain the weight ratio of the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident in the accident severity index preset in the database;

[0049] The accident severity index calculation module is used to calculate the accident severity index based on the emergency lane obstruction degree data and the preset number of damaged vehicles, the number of vehicles involved in the traffic accident and the weight ratio of the lane occupied by the traffic accident in the accident severity index.

[0050] In this embodiment, an accident severity index calculation formula is constructed, the accident severity index is calculated, and the accident severity index is generated. The calculation formula of the accident severity index is as follows:

[0051]

[0052] Wherein, α is the accident severity index, Y is the minimum degree of damage to the vehicle, b is the number of damaged vehicles, c is the number of vehicles involved in the traffic accident, d is the lane occupied by the traffic accident, a1 is the weight ratio of the number of damaged vehicles in the accident severity index, a2 is the weight ratio of the number of vehicles involved in the traffic accident in the accident severity index, a3 is the weight ratio of the lane occupied by the traffic accident in the accident severity index, and e is a natural constant.

[0053] In this embodiment, Y represents the minimum degree of damage among the vehicles involved in the accident, b represents the number of damaged vehicles at the traffic accident scene at the preset time point, c represents the specific number of accident vehicles involved in the traffic accident at the preset time point, and d represents the number of lanes occupied by the accident vehicles involved in the traffic accident at the preset time point.

[0054] In this embodiment, a1 is the preset weight ratio of the impact of the number of damaged vehicles obtained from the preset database, which is used to represent the numerical value of the impact of the number of damaged vehicles on the accident severity index, a2 is the preset weight ratio of the impact of the number of vehicles involved in the traffic accident obtained from the preset database, which is used to represent the numerical value of the impact of the number of vehicles involved in the traffic accident on the accident severity index, and a3 is the preset weight ratio of the impact of the lane occupied by the traffic accident obtained from the preset database, which is used to represent the numerical value of the impact of the lane occupied by the traffic accident on the accident severity index. When in use, the weight ratio of the number of damaged vehicles corresponding to the number of damaged vehicles, the weight ratio of the number of vehicles involved in the traffic accident corresponding to the number of vehicles involved in the traffic accident, and the weight ratio of the lane occupied by the traffic accident corresponding to the lane occupied by the traffic accident can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident form a mapping set with the weights corresponding to the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident in the preset database. After the real-time number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident are input into the mapping set, the corresponding weight ratio of the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident can be obtained. In this example, the value ranges of a1, a2 and a3 are all [0, 1], and the sum of a1, a2 and a3 is 1.

[0055] This embodiment comprehensively evaluates the severity of a traffic accident by the number of damaged vehicles, the number of vehicles involved in the traffic accident, and the lanes occupied by the traffic accident. The larger the number of damaged vehicles, the number of vehicles involved in the traffic accident, and the lanes occupied by the traffic accident, the larger the accident severity index is, that is, the more serious the traffic accident is, that is, the greater the impact of the traffic accident is. The above formula uses logarithmic operations to perform nonlinear changes, reduces the impact of outliers, and makes the obtained accident severity index more accurate and reliable.

[0056] As a preferred solution, the accident severity analysis module further includes an accident severity index analysis module;

[0057] The accident severity index analysis module is used to analyze whether the accident severity index is less than a preset accident severity index threshold value, and generate an accident severity analysis result; the accident severity analysis result includes determining whether the accident severity index is within a normal range of accident severity and determining whether the accident severity index is within an abnormal range of accident severity;

[0058] Specifically, the accident severity index analysis module is used to analyze whether the accident severity index is less than a preset accident severity index threshold. If so, the accident severity index is determined to be within the normal range of accident severity, that is, the traffic accident is within the general severity range; otherwise, the accident severity index is determined to be within the abnormal range of accident severity, that is, the traffic accident is within the severe range.

[0059] In this embodiment, an accident severity index threshold is preset in the system, and the accident severity index threshold is α1. In a specific embodiment, the total number of lanes on the expressway is (including emergency lanes). When c=2, d=2, b=2, and Y=0.2, the value of the accident severity index is taken as the accident severity index threshold, α1=1.38. When the accident severity index is less than the accident severity index threshold, that is, α<α1, it indicates that the accident severity index is in a normal range; when the accident severity index is greater than or equal to the accident severity index threshold, that is, α≥α1, it indicates that the accident severity index is in an abnormal range.

[0060] In this embodiment, the specific analysis process of the accident severity index analysis module is as follows: when the accident severity index is within the normal range of accident severity, it indicates that the traffic accident is of general severity. At this time, the dispatch of vehicles and personnel to resolve the traffic accident can be determined based on the severity of the traffic accident; when the accident severity index is within the abnormal range of accident severity, the required vehicles and personnel are immediately dispatched for emergency rescue based on the situation at the scene of the traffic accident, and information is issued to vehicles within 1 km behind the traffic accident site to remind the lane ahead where the traffic accident is located, and remind vehicles behind the traffic accident site to change lanes in advance.

[0061] It also includes an accident scene handling measures adjustment module, which is used to adjust the accident scene handling measures according to the accident severity analysis results.

[0062] In this embodiment, when the accident severity index is within the normal range of accident severity, it indicates that the traffic accident is within the general severity range, and there may be no casualties or traffic jams. At this time, relevant emergency management vehicles such as tow trucks and police cars can be dispatched according to the specific situation on the scene to clear the road in time and restore traffic in the lane where the traffic accident occurred as soon as possible. When the accident severity index is within the abnormal range of accident severity, it indicates that the traffic accident is relatively serious and has a great impact on other personnel and the person involved in the accident on the highway. There may be casualties or serious traffic jams. At this time, relevant vehicles such as ambulances, police cars, tow trucks and road tow trucks can be dispatched according to the situation on the scene, and information is issued to the remaining vehicles on the section of the road at the accident scene to remind them of the traffic accident ahead and the lane where the traffic accident occurred, and to remind vehicles on the section to slow down and change lanes in advance to avoid a large number of vehicles converging in the lane where the traffic accident occurred, resulting in serious congestion caused by a large number of vehicles temporarily changing lanes and squeezing in.

[0063] As a preferred solution, the emergency lane obstruction degree analysis module includes a second weight ratio acquisition module and an emergency lane obstruction degree index calculation module;

[0064] The second weight ratio acquisition module is used to obtain the weight ratios of the real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the number of moving obstacles in the emergency lane in the emergency lane obstruction degree index preset in the database;

[0065] The emergency lane obstruction index calculation module is used to construct an emergency lane obstruction index calculation formula, calculate the emergency lane obstruction index, and generate the emergency lane obstruction index according to the emergency lane obstruction index data and the preset emergency lane real-time traffic flow, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the weight ratio of the number of moving obstacles in the emergency lane in the emergency lane obstruction index. The calculation formula of the emergency lane obstruction index is as follows:

[0066]

[0067] In the formula, β represents the emergency lane obstruction index, f represents the real-time traffic flow of the emergency lane, s represents the average speed of the moving obstacles in the emergency lane, s1 represents the maximum speed allowed for the emergency lane, k represents the number of stationary obstacles in the emergency lane, Q represents the number of moving obstacles in the emergency lane, h1 represents the weight ratio of the traffic flow of the emergency lane in the emergency lane obstruction index, h2 represents the weight ratio of the average speed of the moving obstacles in the emergency lane obstruction index, h3 represents the weight ratio of the number of obstacles in the emergency lane in the emergency lane obstruction index, h4 represents the weight ratio of the number of moving obstacles in the emergency lane in the emergency lane obstruction index, and e is a natural constant. In this embodiment, f represents the number of vehicles traveling in the emergency lane at a preset time point, s represents the average speed of the moving obstacles in the emergency lane at a preset time point, s1 represents the maximum speed allowed for the emergency lane at a preset time point, k represents the number of stationary obstacles in the emergency lane at a preset time point, and Q represents the number of moving obstacles in the emergency lane at a preset time point.

[0068] In this embodiment, h1 is the preset emergency lane real-time traffic flow impact weight ratio obtained from the preset database, which is used to represent the numerical value of the impact of the real-time traffic flow of the emergency lane on the emergency lane obstruction degree index, h2 is the preset emergency lane moving obstacle average speed impact weight ratio obtained from the preset database, which is used to represent the numerical value of the impact of the average speed of the moving obstacles in the emergency lane on the emergency lane obstruction degree index, h3 is the preset emergency lane stationary obstacle number impact weight ratio obtained from the preset database, which is used to represent the numerical value of the impact of the number of stationary obstacles in the emergency lane on the emergency lane obstruction degree index, and h4 is the preset emergency lane moving obstacle number impact weight ratio obtained from the preset database, which is used to represent the numerical value of the impact of the number of moving obstacles in the emergency lane on the emergency lane obstruction degree index. When in use, the weight ratio of the real-time traffic flow of the emergency lane corresponding to the real-time traffic flow of the emergency lane, the weight ratio of the average speed of the moving obstacles of the emergency lane corresponding to the average speed of the moving obstacles of the emergency lane, the weight ratio of the number of stationary obstacles of the emergency lane corresponding to the number of stationary obstacles of the emergency lane, and the weight ratio of the number of moving obstacles of the emergency lane corresponding to the number of moving obstacles of the emergency lane can be directly obtained from the preset database. The corresponding relationship can be a preset mapping relationship. For example, the real-time traffic flow of the emergency lane, the average speed of the moving obstacles of the emergency lane, the number of stationary obstacles of the emergency lane and the number of moving obstacles of the emergency lane form a mapping set with the weights corresponding to the real-time traffic flow of the emergency lane, the average speed of the moving obstacles of the emergency lane, the number of stationary obstacles of the emergency lane and the number of moving obstacles of the emergency lane in the preset database. After the real-time traffic flow of the emergency lane, the average speed of the moving obstacles of the emergency lane, the number of stationary obstacles of the emergency lane and the number of moving obstacles of the emergency lane are input into the mapping set, the corresponding weights of the real-time traffic flow of the emergency lane, the average speed of the moving obstacles of the emergency lane, the number of stationary obstacles of the emergency lane and the number of moving obstacles of the emergency lane can be obtained. In this example, the value ranges of h1, h2, h3 and h4 are all [0, 1].

[0069] This embodiment integrates various factors of the emergency lane. The smaller the real-time traffic volume of the emergency lane, the number of stationary obstacles in the emergency lane, and the number of moving obstacles in the emergency lane, and the greater the average speed of the moving obstacles in the emergency lane, the smaller the emergency lane obstruction degree index is, which means that the smaller the obstruction degree of the emergency lane is, the smoother the driving of emergency rescue vehicles on the emergency lane is. The above formula uses logarithmic operation to perform nonlinear transformation, smoothes the influence of outliers, and makes the emergency lane obstruction degree index more explanatory and reliable.

[0070] In this embodiment, it should be noted that, the greater the real-time traffic volume in the emergency lane, the more vehicles occupying the emergency lane are, the greater the number of stationary obstacles in the emergency lane and the number of moving obstacles in the emergency lane are, that is, the more obstacles there are in the emergency lane, and the emergency rescue vehicles will encounter greater obstacles when performing emergency rescue. As for the speed of moving obstacles in the emergency lane, the greater the average speed of the moving obstacles in the emergency lane, the greater the moving obstacles on the emergency lane are traveling at a higher speed on the emergency lane. At this time, the moving obstacles on the emergency lane have little impact on the driving of emergency rescue vehicles on the emergency lane. If the average speed of the moving obstacles in the emergency lane is too small, especially when it is less than the driving speed of the emergency rescue vehicles, the driving speed of the emergency rescue vehicles will be limited, which will increase the degree of obstruction in the emergency lane.

[0071] As a preferred solution, the emergency resource demand index is compared with the emergency lane obstruction degree index threshold, and the emergency lane obstruction degree analysis module further includes an emergency lane obstruction degree index analysis module;

[0072] The emergency lane obstruction index analysis module is used to analyze whether the emergency lane obstruction index is less than a preset emergency lane obstruction index threshold value, and generate an emergency lane obstruction analysis result; the emergency lane obstruction analysis result includes determining whether the emergency lane obstruction index is within a normal range of the emergency lane obstruction index and determining whether the emergency lane obstruction index is within an abnormal range of the emergency lane obstruction index;

[0073] Specifically, the emergency lane obstruction degree index analysis module is used to analyze whether the emergency lane obstruction degree index is less than a preset emergency lane obstruction degree index threshold. If so, it is determined that the emergency lane obstruction degree index is within the normal range of the emergency lane obstruction degree, that is, the emergency lane is relatively unobstructed; otherwise, it is determined that the emergency lane obstruction degree index is within the abnormal range of the emergency lane obstruction degree, that is, the traffic capacity of the emergency lane is obstructed.

[0074] In this embodiment, historical data of parameters related to the emergency lane obstruction degree index are obtained from the database, the historical data of the emergency lane obstruction degree index is obtained according to the above formula, the historical data of the emergency lane obstruction degree index is averaged, and the average of the emergency lane obstruction degree index is taken as the emergency lane obstruction degree index threshold. The emergency lane obstruction degree index threshold is β1. In this embodiment, β1=1.65. When the emergency lane obstruction degree index is less than the emergency lane obstruction degree index, that is, β<β1, it indicates that the emergency lane obstruction degree index is in a normal range; when the emergency lane obstruction degree index is greater than or equal to the emergency lane obstruction degree index, that is, β≥β1, it indicates that the emergency lane obstruction degree index is in an abnormal range.

[0075] In this embodiment, the specific process of analyzing the smoothness of the emergency lane according to the emergency lane obstruction degree index is as follows: when the emergency lane obstruction degree index is within the normal range of the emergency lane obstruction degree, it indicates that the emergency lane is relatively smooth, that is, the speed at which the emergency or emergency rescue vehicle arrives at the scene of the traffic accident is faster; when the emergency lane obstruction degree index is within the abnormal range of the emergency lane obstruction degree, it indicates that the traffic capacity of the emergency lane is obstructed, that is, there is an obstruction in the process of the emergency or emergency rescue vehicle arriving at the scene of the traffic accident, and the speed at which the emergency or emergency rescue vehicle and personnel arrive at the scene of the traffic accident will be slowed down. According to the emergency lane obstruction degree index, the emergency lane obstacles can be processed in advance to improve the traffic capacity of the emergency lane.

[0076] It also includes an emergency lane processing measure adjustment module, which is used to adjust the emergency lane processing measures according to the emergency lane obstruction degree analysis result;

[0077] In this embodiment, when the emergency lane obstruction degree index is within the normal range of the emergency lane obstruction degree, it indicates that the emergency lane is less obstructed, that is, the emergency rescue vehicle can arrive at the scene of the traffic accident relatively promptly. At this time, the specific situation of the emergency lane can be observed during the movement of the emergency rescue vehicle. If an obstruction is encountered, a broadcast method is used to remind the driver to avoid the obstacle ahead. When the emergency lane obstruction degree index is within the abnormal range of the emergency lane obstruction degree, it indicates that there are more obstacles on the emergency lane, which will cause the emergency rescue vehicle to arrive at the scene of the traffic accident more slowly, making it impossible for the emergency rescue vehicle to arrive at the scene of the traffic accident in time. At this time, it is necessary to issue a prohibition on occupying the emergency lane information to vehicles on this section of the highway. If necessary, the police force resources closest to the traffic accident can be dispatched to clear the emergency lane in advance to provide a fast and safe channel for emergency rescue vehicles, thereby ensuring that the emergency rescue vehicles arrive quickly and in time.

[0078] Specifically, when the emergency lane obstruction degree index is within the normal range of the emergency lane obstruction degree, the corresponding emergency lane handling measures include routine traffic diversion, local cleaning and dynamic monitoring.

[0079] Routine traffic diversion includes releasing information through traffic broadcasts, electronic display screens and other means to remind passing vehicles to avoid the emergency lane and keep it unobstructed; local clearing includes arranging nearby traffic management personnel or small rescue teams to carry out rapid clearing for minor obstructions (such as a small number of stranded vehicles or obstacles); dynamic monitoring includes using a video surveillance system to monitor the status of the emergency lane in real time to ensure timely response if new obstructions arise.

[0080] When the emergency lane obstruction index is within the abnormal range of the emergency lane obstruction level, the corresponding emergency lane handling measures include emergency diversion and control, rapid obstacle clearing, multi-department collaboration, and information release and public guidance.

[0081] Specifically, emergency diversion and control include immediately initiating traffic control measures, closing some sections of the road, guiding non-rescue vehicles to detour, and ensuring that the emergency lane is completely unobstructed; rapid obstacle clearing includes mobilizing heavy rescue equipment and professional teams to quickly arrive at the scene, and giving priority to clearing obstacles on the emergency lane (such as overturned vehicles, scattered cargo, etc.); multi-department collaboration includes coordinating joint actions of multiple departments such as traffic police, fire, and medical care to form a joint force to ensure the efficient implementation of rescue work; information release and public guidance include widely releasing accident information through various channels, reminding surrounding vehicles to avoid affected areas, and reducing the risk of secondary accidents.

[0082] As a preferred solution, the emergency resource demand analysis module includes a third weight ratio acquisition module and an emergency resource demand index calculation module;

[0083] The third weight ratio acquisition module is used to obtain the weight ratio of the accident severity index and the emergency lane obstruction index preset in the database to the emergency resource demand index;

[0084] The emergency resource demand index calculation module is used to construct an emergency resource demand index calculation formula, calculate the emergency resource demand index, and generate the emergency resource demand index according to the accident severity index, the emergency lane obstruction index, and the preset accident severity index and the emergency lane obstruction index in the emergency resource demand index. The calculation formula of the emergency resource demand index is as follows:

[0085] γ =tanh(α*g1+β*g2)*

[0086]

[0087] Wherein, γ represents the emergency resource demand index, α represents the accident severity index, β represents the emergency lane obstruction index, g1 represents the weight ratio of the accident severity index in the emergency resource demand index, g2 represents the weight ratio of the emergency lane obstruction index in the emergency resource demand index, and e is a natural constant.

[0088] In this embodiment, g1 is a preset accident severity index influence weight ratio obtained from a preset database, which is used to represent the numerical value of the influence degree of the accident severity index on the emergency resource demand index, and g2 is a preset emergency lane obstruction index influence weight ratio obtained from a preset database, which is used to represent the numerical value of the influence degree of the emergency lane obstruction index on the emergency resource demand index. When in use, the accident severity index influence weight ratio corresponding to the accident severity index and the emergency lane obstruction index influence weight ratio corresponding to the emergency lane obstruction index can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship, for example, the accident severity index and the emergency lane obstruction index form a mapping set with the weights corresponding to the accident severity index and the emergency lane obstruction index in the preset database. After the real-time accident severity index and the emergency lane obstruction index are input into the mapping set, the corresponding accident severity index and the weights of the emergency lane obstruction index can be obtained. In this example, the value ranges of g1 and g2 are both [0, 1].

[0089] In this embodiment, the accident severity index and the emergency lane obstruction index are combined. The smaller the accident severity index and the emergency lane obstruction index are, the smaller the emergency resource demand index is, that is, the smaller the emergency resource demand is for the traffic accident. The above formula uses a hyperbolic tangent function to smooth the impact of outliers, so that the obtained emergency resource demand index is more accurate and effective.

[0090] like Figure 2 As shown, it is an emergency resource demand index curve diagram provided by the embodiment of the present application, with the accident severity index as the independent variable and the emergency resource demand index as the dependent variable. Through the increase and decrease analysis of curves 1, 2 and 3, it can be seen that when the accident severity index is larger, the emergency resource demand index is larger; when the accident severity index is smaller, the emergency resource demand index is smaller. The statistical table of the emergency resource demand index is shown in Table 1:

[0091] Table 1 Statistics of relevant data of emergency resource demand indicators

[0092]

[0093]

[0094] It can be seen from Table 1 that for curve 1, curve 2 and curve 3, when the emergency lane obstruction indexes of curve 1, curve 2 and curve 3 are 1.00, 1.20 and 1.40 respectively, and other parameters are consistent, the emergency resource demand indexes of curve 1, curve 2 and curve 3 are 0.38, 0.44 and 0.50 respectively. It can be seen that when the accident severity index is consistent with other parameters, the larger the emergency lane obstruction index, the larger the emergency resource demand index.

[0095] As a preferred solution, the emergency resource demand index is compared with the emergency resource demand index threshold, and the emergency resource demand analysis module further includes an emergency resource demand index analysis module;

[0096] The emergency resource demand index analysis module is used to analyze whether the emergency resource demand index is less than a preset accident severity index threshold, and generate an emergency resource demand analysis result; the emergency resource demand analysis result includes determining whether the emergency resource demand index is within a normal range of emergency resource demand and determining whether the emergency resource demand index is within an abnormal range of emergency resource demand;

[0097] Specifically, the emergency resource demand index analysis module is used to analyze whether the emergency resource demand index is less than a preset emergency resource demand index threshold. If so, it is determined that the emergency resource demand index is within the normal range of emergency resource demand; otherwise, it is determined that the emergency resource demand index is within the abnormal range of emergency resource demand.

[0098] In this embodiment, historical data of parameters related to the emergency resource demand indicator are obtained from the database, the historical data of the emergency resource demand indicator is obtained according to the above formula, the historical data of the emergency resource demand indicator is averaged, and the average of the emergency resource demand indicator is taken as the emergency resource demand indicator threshold. The emergency resource demand indicator threshold is γ1. In this embodiment, γ1=0.66. When the emergency resource demand indicator is less than the emergency resource demand indicator, that is, γ<γ1, it indicates that the emergency resource demand indicator is in a normal range; when the emergency resource demand indicator is greater than or equal to the emergency resource demand indicator, that is, γ≥γ1, it indicates that the emergency resource demand indicator is in an abnormal range.

[0099] In this embodiment, when the emergency resource demand index is within the normal range of emergency resource demand, the emergency resource demand of the traffic accident is within the general range; when the emergency resource demand index is within the abnormal range of emergency resource demand, that is, the emergency resource demand of the traffic accident is within the emergency range, when multiple traffic accidents occur at the same time, the priority of traffic accident handling can be sorted by the emergency resource demand index to obtain higher emergency handling efficiency.

[0100] It also includes an emergency resource demand plan adjustment module, which is used to adjust the emergency resource demand plan for traffic accidents according to the emergency resource demand analysis results.

[0101] In this embodiment, when the emergency resources are within the normal range of emergency resource demand, it indicates that the emergency resource demand for the traffic accident is a general demand, and the corresponding emergency resource demand plan includes light rescue equipment, basic medical support and traffic commanders.

[0102] Specifically, light rescue equipment includes tow trucks, tow trucks, etc., which are used to handle small-scale accidents or clear simple obstacles; basic medical support includes ambulances equipped with basic first aid medicines and equipment, which are used to deal with minor injuries or situations that do not require complex treatment; traffic control personnel include dispatching traffic police or guides to maintain order when necessary to ensure that rescue channels are unobstructed.

[0103] When the emergency resource demand indicator is in the abnormal range of emergency resource demand, it means that the high traffic accident is a high-demand traffic accident, that is, a more urgent traffic accident. The corresponding emergency resource demand plan includes heavy rescue equipment, advanced medical support, multidisciplinary rescue teams and temporary traffic facilities.

[0104] Specifically, heavy rescue equipment includes large cranes, demolition tools, etc., which are used to deal with serious traffic accidents or remove large obstacles; advanced medical support includes ambulances equipped with intensive care equipment and professional medical staff to ensure that the injured can receive timely and effective treatment; multidisciplinary rescue teams include firefighters, emergency doctors, psychological counselors and other professionals. The comprehensive rescue team is composed of comprehensive rescue teams to comprehensively respond to various complex situations; temporary traffic facilities include portable traffic lights, warning signs, etc., which are used to re-plan traffic flow lines to ensure the smooth progress of rescue work.

[0105] When multiple traffic accidents occur at the same time, they can be sorted from large to small according to the emergency resource demand indicators of the traffic accidents, and processed in order according to the sorting, so as to obtain more efficient processing efficiency.

[0106] like Figure 3 As shown, it is a flow chart of the highway traffic accident emergency management method provided in the embodiment of the present application. The highway traffic accident emergency management method provided in the embodiment of the present application adopts the above-mentioned highway traffic accident emergency management system, and includes the following steps: acquiring accident severity data and emergency lane obstruction degree data; generating an accident severity index according to the accident severity data, and analyzing the accident severity according to the accident severity index; generating an emergency lane obstruction degree index according to the emergency lane obstruction degree data, and analyzing the emergency lane obstruction degree according to the emergency lane obstruction degree index; generating an emergency resource demand index according to the accident severity index and the emergency lane obstruction degree index, and analyzing the traffic accident emergency resource demand according to the emergency resource demand index.

[0107] This embodiment analyzes the severity of a traffic accident through a traffic accident severity index, and takes corresponding measures according to the severity of the traffic accident. It analyzes the obstruction of the emergency lane through an emergency lane obstruction degree index, and takes corresponding measures for the emergency lane to obtain better emergency lane traffic capacity. In addition, according to the emergency resource demand index, the situation of multiple traffic accidents received at the same time can be sorted and processed, effectively reducing lane congestion and emergency lane occupancy, making the handling of highway traffic accidents more efficient and rapid.

[0108] In summary, the embodiment of the present application obtains accident severity data and emergency lane obstruction data to obtain an accident severity index and an emergency lane obstruction index, and then analyzes the severity of the traffic accident and the emergency lane obstruction index based on the accident severity index and the emergency lane obstruction index, and then obtains and analyzes the emergency resource demand index based on the accident severity index and the emergency lane obstruction index, thereby achieving corresponding measures based on the accident severity index, the emergency lane obstruction index and the emergency resource demand index to improve the emergency handling efficiency in highway traffic accidents.

[0109] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0113] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0114] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Highway traffic accident emergency management system, characterized by: include: Traffic data acquisition module, accident severity analysis module, emergency lane obstruction analysis module and emergency resource demand analysis module; The traffic data acquisition module is used to acquire accident severity data and emergency lane obstruction degree data; The accident severity analysis module is used to generate an accident severity index based on the accident severity data, and analyze the accident severity based on the accident severity index; The emergency lane obstruction degree analysis module is used to generate an emergency lane obstruction degree index according to the emergency lane obstruction degree data, and analyze the emergency lane obstruction degree according to the emergency lane obstruction degree index; The emergency resource demand analysis module is used to generate an emergency resource demand index according to the accident severity index and the emergency lane obstruction index, and analyze the traffic accident emergency resource demand according to the emergency resource demand index.

2. The highway traffic accident emergency management system as claimed in claim 1, characterized in that: The accident severity data includes the number of damaged vehicles, the minimum degree of damage to the vehicles, the number of vehicles involved in the traffic accident, and the lane occupied by the traffic accident; The emergency lane obstruction degree data includes the real-time traffic flow of the emergency lane, the average speed of moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, the number of moving obstacles in the emergency lane and the maximum speed allowed for the emergency lane.

3. The highway traffic accident emergency management system as claimed in claim 1, characterized in that: The accident severity analysis module includes a first weight ratio acquisition module and an accident severity index calculation module; The first weight ratio acquisition module is used to obtain the weight ratio of the number of damaged vehicles, the number of vehicles involved in the traffic accident and the lane occupied by the traffic accident in the accident severity index preset in the database; The accident severity index calculation module is used to calculate the accident severity index based on the emergency lane obstruction degree data and the preset number of damaged vehicles, the number of vehicles involved in the traffic accident and the weight ratio of the lane occupied by the traffic accident in the accident severity index.

4. The highway traffic accident emergency management system as claimed in claim 3, characterized in that: The accident severity analysis module also includes an accident severity index analysis module; The accident severity index analysis module is used to analyze whether the accident severity index is less than a preset accident severity index threshold, and if so, determine that the accident severity index is within a normal range of accident severity; Otherwise, it is determined that the accident severity index is within an abnormal range of accident severity.

5. The highway traffic accident emergency management system as claimed in claim 1, characterized in that: The emergency lane obstruction degree analysis module includes a second weight ratio acquisition module and an emergency lane obstruction degree index calculation module; The second weight ratio acquisition module is used to obtain the weight ratios of the real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the number of moving obstacles in the emergency lane in the emergency lane obstruction degree index preset in the database; The emergency lane obstruction degree index calculation module is used to calculate the emergency lane obstruction degree index based on the emergency lane obstruction degree data and the preset real-time traffic flow of the emergency lane, the average speed of the moving obstacles in the emergency lane, the number of stationary obstacles in the emergency lane, and the weight ratio of the number of moving obstacles in the emergency lane in the emergency lane obstruction degree index.

6. The highway traffic accident emergency management system as claimed in claim 5, characterized in that: The emergency lane obstruction degree analysis module also includes an emergency lane obstruction degree index analysis module; The emergency lane obstruction degree index analysis module is used to analyze whether the emergency lane obstruction degree index is less than a preset emergency lane obstruction degree index threshold. If so, it is determined that the emergency lane obstruction degree index is within a normal range of the emergency lane obstruction degree; otherwise, it is determined that the emergency lane obstruction degree index is within an abnormal range of the emergency lane obstruction degree.

7. The highway traffic accident emergency management system as claimed in claim 1, characterized in that: The emergency resource demand analysis module includes a third weight ratio acquisition module and an emergency resource demand index calculation module; The third weight ratio acquisition module is used to obtain the weight ratio of the accident severity index and the emergency lane obstruction index preset in the database to the emergency resource demand index; The emergency resource demand index calculation module is used to calculate the emergency resource demand index according to the accident severity index, the emergency lane obstruction index and the preset weight ratio of the accident severity index and the emergency lane obstruction index in the emergency resource demand index.

8. The highway traffic accident emergency management system as claimed in claim 7, characterized in that: The emergency resource demand analysis module also includes an emergency resource demand index analysis module; The emergency resource demand index analysis module is used to analyze whether the emergency resource demand index is less than a preset emergency resource demand index threshold. If so, it is determined that the emergency resource demand index is within the normal range of emergency resource demand; otherwise, it is determined that the emergency resource demand index is within the abnormal range of emergency resource demand.

9. A highway traffic accident emergency management method, characterized in that: The following steps are involved: Obtain accident severity data and emergency lane obstruction data; generating an accident severity index based on the accident severity data, and analyzing the accident severity based on the accident severity index; generating an emergency lane obstruction degree index according to the emergency lane obstruction degree data, and analyzing the emergency lane obstruction degree according to the emergency lane obstruction degree index; An emergency resource demand index is generated based on the accident severity index and the emergency lane obstruction index, and the traffic accident emergency resource demand is analyzed based on the emergency resource demand index.

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