一种改进的事故再现蒙特卡罗优化算法

为使事故再现结果更符合实际情况,对事故再现中的计算过程进行优化。基于蒙特卡罗方法和随机加权方法,提出一种改进的事故再现蒙特卡罗优化算法。该算法以二维碰撞模型和车辆轨迹模型为计算模型,选择碰撞点位置、碰撞前速度、法向恢复系数为优化参数,以实际车辆碰撞后运动轨迹离差最小为优化目标。分别用所提出的改进算法和Pc-Crash中的优化方法对一算例进行优化。结果表明,改进算法在准确度和稳定性等方面优于Pc-Crash中的方法。利用改进的事故再现蒙特卡罗优化算法,不仅能获得最优的事故再现结果,还能获得再现结果落在任意区间的概率。

An Improved Accident Reconstruction Optimization Algorithm Based on Monte Carlo Simulation

To make the accident reconstruction results more in line with the actual situation of traffic accidents,the computing process was optimized.Based on Monte Carlo simulation optimization method and random weighting,an improved algorithm of accident reconstruction analysis optimization was put forward.In the algorithm,the two-dimensional collision model and the vehicle trajectory model were used for the calculation model,the position of the collision point,the speed before collision,the normal coefficient of restitution were selected as optimization parameters,and the actual vehicle collision trajectory deviation was selected as the optimization objective.The algorithm proposed in this paper and the Monte Carlo optimization algorithm of Pc-Crash were used to calculate a certain accident example.The results show that the algorithm proposed in this paper is superior to the Monte Carlo optimization algorithm of Pc-Crash in accuracy and stability.Not only optimal accident reconstruction results,but also the probability of accident reconstruction results fall on arbitrary interval can be obtained using the improved accident reconstruction optimization algorithm based on Monte Carlo simulation.