Safety Evaluation of Traffic Flow Operation Based on Fuzzy Inference of Risk Perception of Rearend Collision

Abstract:

In order to effectively surrogate the traditional evaluation method based on the accident data,the calculation method of carfollowing safety distance including the membership function of weather condition in the microscopic fuzzy inference system for risk perception was improved.The whole road risk perception index was put forward to measure the total driving environment and the average risk evaluation indicator of rearend collision was developed for macroscopic traffic flow.The value of the average risk indicator could be achieved by simulation of AIMSUN software.Then,the Fuzzy cmeans cluster method was used to develop the criterion of the indicator.Therefore,the research results can provide a support for the early warning technology of traffic accidents.