Multifactor Correlation Model Of Freeway Traffic Satety

Highway, with advantage of a large volume, high speed, low cost, high efficiency, brings convenience to the user often taking along with great personal injury and property damage. Now the highway traffic safety situation in China is not optimistic, so research of the highway traffic safety is very necessary.In this paper, we analysis highway traffic safety from four aspects of impact of driver, vehicle, road and environmental factors, and select some factors easy to quantify to propose a multifactor correlation model, evaluate the influence of the associated quantitative factors, and extract category characteristics by cluster analysis and according to the role of factors related to traffic safety, propose a safety control conceptual model and implement simulation prototyping system.The work as follows:We complete quantitative analysis of the time factor and road conditions associated with highway traffic safety.The time factor is divided into three factors of the month, week, and hour. The order of their sensitivity is time, month, and week. Week factor has no obvious effects for highway traffic accidents, and road environment factor has a significant impact.According to the factors of sensitivity, we use cluster analysis to extract category characteristics of accidents samples. This will help traffic safety management departments to take targeted measures to address the problem, reduce accidents and improve traffic safety.On the base of analysis of effect of road traffic congestion for the highway traffic safety, we propose control conceptual model for highway safety, and design and implement the relevant algorithms and simulation prototyping system.In this paper, we use methods of statistics to analysis the historical data of SD highway from qualitative and quantitative perspective, and through conceptual model design and prototype realization, propose the simple theory with a certain amount of visibility and practicality.