危险驾驶工况场景的复杂度评估方法研究

Research on Complexity Evaluation Method of Dangerous Driving Scenes

本文中提出了一种对危险驾驶工况场景数据的采集和复杂度评估的方法。与大型实车路试中自然驾驶数据的采集方法不同的是,本文中基于高级驾驶辅助系统采集其报警前后数据,并将其作为危险驾驶工况数据进行研究;在分析危险驾驶工况场景数据及其影响因素的基础上,构建了包含不同环境、交通流和车辆相关因素的危险驾驶工况场景的复杂度评价指标体系;基于专家评分结果,应用层次分析法确定指标权重,得到了对危险驾驶工况场景进行复杂度评价的模型与方法,可用于智能汽车的仿真测试。

A method of the collection of dangerous driving scene data and the evaluation of their complexity is proposed.Different from the collection method of natural driving data in large-scale real vehicle road test,the data before and after giving warning are collected as the data of dangerous driving condition for study based on advanced driving assistance system.On the basis of analyzing the dangerous driving scene data and their influence factors,the complexity evaluation indicator system of dangerous driving scenes is constructed in terms of environment,traffic flow and vehicle related factors.Based on the results of expert rating and applying analytical hierarchy process,the weights of indicators are determined and the model and method of evaluating the complexity of dangerous driving scenes are obtained and can be used for the simulation and test of intelligent vehicle.