Traffic safety risk ranking control method in agglomerate fog weather condition

Abstract

The invention relates to a traffic safety risk ranking control method in an agglomerate fog weather condition. The traffic safety risk ranking control method comprises the following steps: carrying out an investigation on a driver to obtain a suggested vehicle speed in a specific road environment; based on measured profile coil traffic data and visibility data in the agglomerate fog weather condition provided by an adjacent meteorological station, determining the operation vehicle speed and expected vehicle speed in a practical vehicular access environment in the specific road environment; calculating the difference value of suggested vehicle speed and expected vehicle speed as a traffic safety risk assessment index; determining the ranking point of the traffic safety risk assessment index, and carrying out ranking on traffic safety risk; carrying out visualization on a traffic safety risk field by using a risk field model of traffic safety time-space dimension, and establishing a ranking control measure of hardware facility according to the traffic safety risk field. Compared with the prior art, new theory and new method are provided for road traffic safety risk assessment and space-time visualization; and support is provided for traffic ranking management and control of traffic management department in agglomerate fog weather.

Description

technical field [0001] The invention relates to the field of traffic safety risk assessment and management of high-speed expressways, in particular to a traffic safety risk hierarchical management and control method under cloudy weather conditions. Background technique [0002] Domestic and foreign research on high-speed highway traffic safety risk assessment under cloudy weather conditions generally analyzes road alignment, weather conditions, driver characteristics, vehicle performance and other elements one by one, and it is difficult to integrate the "human-vehicle-road system" Influence of all factors, and cover and visualize the traffic safety risk in space-time dimension under foggy weather conditions. According to different assessment objects and discriminant indicators, traffic safety risk assessment is mainly divided into three categories: traffic safety risk assessment methods based on accident data, traffic safety risk assessment methods based on road elements, a...

AI Technical Summary

Problems solved by technology

[0002] Domestic and foreign research on high-speed highway traffic safety risk assessment under foggy weather conditions generally analyzes road alignment, weather conditions, driver characteristics, vehicle performance and other elements one by one, and it is difficult to integrate the "human-vehicle-road system" Influenced by all factors, covering and visualizing traffic safety risks in space-time dimensions under cloudy weather conditions

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