基于高速公路事故预测的巡逻车应急响应研究

In order to improve the efficiency of highway rescue and make the injured get effective treatment, based on the theory of real-time highway accident risk analysis, a discrete event simulation model about the patrol car emergency response is put forward, which analysis entity, state and property of the patrol system. Through the python simulation, accident prediction, accuracy and error rate is studied. The simulation results show that the average response time is significantly affected by the accuracy and the prediction time, and the effective response rate is significantly affected by the false positive rate. In order to further improve the efficiency of incident response to make the response of the patrol car accidents have a better application, the false positive rate should be reduced or stable. The appropriate accident risk analysis model should be selected according to the forecast time and prediction accuracy instead of the intuitive judgment model.