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Real-time traffic safety index dynamic comprehensive evaluation system and construction method thereof

A safety index, real-time traffic technology, applied in traffic control systems, road vehicle traffic control systems, traffic flow detection, etc., can solve unknown problems and achieve the effect of improving accuracy, fine-grained, and real-time security warning

Pending Publication Date: 2020-12-04
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The use of these traffic big data provides the possibility of real-time evaluation of traffic safety, but how to use these traffic big data for evaluation is still unknown

Method used

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  • Real-time traffic safety index dynamic comprehensive evaluation system and construction method thereof
  • Real-time traffic safety index dynamic comprehensive evaluation system and construction method thereof
  • Real-time traffic safety index dynamic comprehensive evaluation system and construction method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The invention provides a real-time traffic safety index dynamic comprehensive evaluation system, which includes a data acquisition module, an accident risk assessment and prediction model building module, a traffic safety index calculation module and a visual display platform. Among them, the data collection module is used to collect data related to people, vehicles, roads, etc. that affect traffic accidents in each area, and preprocess it; the accident risk assessment and prediction model building module is used to collect preprocessed people, vehicles, roads, etc. All kinds of data are used as independent variables, and the traffic safety index composed of historical traffic accident numbers and grades is used as the dependent variable to establish an accident risk assessment and prediction model, and solve the model parameters; the traffic safety index calculation module is used to The prediction model, real-time road conditions, basic road attributes and driving safe...

Embodiment 2

[0031] like figure 1 Said, the present invention also provides a construction method of a real-time traffic safety index dynamic comprehensive evaluation system, comprising the following steps:

[0032] Step 1: Collect relevant data such as people, vehicles, and roads that affect traffic accidents, and extract the characteristics of various data. Specifically, the collected relevant data includes historical traffic accident data, road basic attribute data, meteorological data, traffic signal cycle data, Traffic flow data, vehicle performance data and driving behavior data, etc.

[0033]Step 2: Take the collected data characteristics of people, vehicles, roads and other related data as independent variables, and the traffic safety index composed of historical traffic accidents and grades as dependent variables, establish an accident risk assessment and prediction model, and solve the model parameters.

[0034] Step 3: Calculate the expectation of the number of traffic accident...

Embodiment 3

[0037] The following takes the analysis of a road traffic accident in a large city as an example to introduce the detailed implementation scheme of the system construction method of the present invention.

[0038] In the above step 1, the method for collecting relevant data such as people, vehicles, roads, etc. that affect the traffic accident, and extracting the data features, includes the following steps:

[0039] Step 101: Collect the traffic accident statistics data in the city in 2014, and extract the traffic accident characteristics.

[0040] Among them, the extracted traffic accident features include the identity and vehicle information of both parties involved in the accident, the time and place of the accident, the type of accident, and the degree of casualties. According to the accident location in the original data of the accident record, through the calibration of Baidu map, each traffic accident is located to the intersection or road section where it occurred.

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Abstract

The invention relates to a real-time traffic safety index dynamic comprehensive evaluation system and a construction method thereof. The construction method is characterized by comprising the following steps: step 1, collecting related data influencing traffic accidents and extracting characteristics of various data; step 2, establishing an accident risk assessment and prediction model by taking the characteristics of the collected related data as independent variables and taking a traffic safety index formed by the number and the grade of historical traffic accidents as dependent variables, and solving model parameters; step 3, according to the accident risk assessment and prediction model obtained in the step 2, calculating expectation of the number of traffic accidents occurring in different areas in combination with real-time road conditions, road structure attributes and driving safety coefficients, and obtaining real-time traffic safety indexes of the different areas through calculation according to a pre-established safety index model; and step 4, establishing a visual display platform for displaying the real-time traffic safety indexes of different areas. The system and method can be widely applied to the field of traffic safety evaluation.

Description

technical field [0001] The invention relates to a traffic safety evaluation system, in particular to a real-time traffic safety index dynamic comprehensive evaluation system and a construction method thereof, which can be used for real-time monitoring of the traffic safety level on the road network. Background technique [0002] According to the "Global Status Report on Road Safety" published by the World Health Organization, road traffic injuries are one of the leading causes of death worldwide. [0003] The traditional traffic safety assessment method is to establish a counting model of accident risk and casualty degree based on historical accident data, and analyze the significant factors affecting the occurrence and severity of accidents. However, this type of method has obvious limitations. On the one hand, the data obtained by the traditional method often comes from the reported data of government departments. The time granularity of the data is relatively coarse, and ...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/065G08G1/081G06K9/62
CPCG08G1/0104G08G1/0129G08G1/065G08G1/081G06F18/214
Inventor 裴欣杨子岳云田珊任智伟姚丹亚
Owner TSINGHUA UNIV
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