Mountainous road traffic safety dynamic early-warning system

Abstract

The invention relates to a mountainous road traffic safety dynamic early-warning system which comprises a traffic accident analysis early-warning module, a traffic flow detection module, a road alignment module, a weather forecast module and a variable traffic sign LED display screen, wherein the traffic flow detection module, the road alignment module, the weather forecast module and the variable traffic sign LED display screen are connected with the traffic accident analysis early-warning module. The traffic flow detection module is used for dynamically collecting traffic flow data on the road, the weather forecast module is used for dynamically collecting weather conditions, the road alignment module conducts static collection and is used for collecting the geometrical features of the current road alignment, and the traffic accident analysis early-warning module conducts data real-time interaction with the traffic flow detection module, the weather module and the road alignment module. The mountainous road traffic safety dynamic early-warning system is mainly used for mountainous road traffic safety early-warning and is installed on a place where accidents frequently occur, and traffic accidents such as tailgating, handrail collision and the like when vehicles run on the mountainous road are avoided according to traffic controlling strategies of device output vehicle speed limit, traffic flow control and the like.

Description

technical field [0001] The invention belongs to the field of manufacture and application of electronic products, in particular to a dynamic warning device for road traffic safety in mountainous areas. Background technique [0002] Mountain cities are cities distributed in mountains, hills and rugged plateau areas, which account for about 69% of my country's land area. Because the roads of mountainous cities are limited by natural conditions, the conditions of road alignment, longitudinal slope and road surface conditions are often poor, and traffic accidents are more likely to occur in mountainous cities under such poor road conditions. Compared with ordinary cities, mountainous cities have been plagued by highway traffic management departments and road users with higher accident rates and huge accident damage. Therefore, it is urgent to find the mechanism of traffic accidents and its early warning decision-making technology suitable for the characteristics of mountainous r...

AI Technical Summary

Problems solved by technology

At present, many scholars and engineers at home and abroad have deeply analyzed the mechanism of the influencing factors of road traffic accidents in ordinary cities. They generally use mathematical statistical methods such as structural equations and regression analysis to mine the internal laws between them from historical traffic accident data, but rarely consider The carrier of traffic flow - the influence of road and external environment, the existing research is not suitable for the actual situation of mountainous road traffic safety

Some achievements have been made in mountainous road traffic accident research, most of which focus on applied research such as traffic safety evaluation, identification of accident-prone points, accident prediction and prevention, and basic research involving traffic safety analysis is rare. In particular, there are fewer studies on the correlation between traffic accidents, climate disasters, road construction and other external factors and the random disturbance microscopic characteristics of traffic flow, and there is a certain gap with the actual traffic safety management of mountainous roads.

In addition, the existing research has not established a complete set of dynamic early warning technology for road traffic safety in mountainous areas. In order to further promote the application

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