基于灰关联熵理论的驾驶决策影响因子研究

针对道路交通系统数据采集难度大、灰度大、无典型分布等特点,采用多种数据采集设备采获数据,运用灰关联熵分析法重点对来自道路、环境的驾驶决策主影响因子进行了榨取和排序。仿真结果表明,该方法客观、定量,能克服目前人们以主观、定性分析为主的缺点,避免了多因子多重共线关系所引起的信息重叠及其对仿真过程的干扰,为自动驾驶系统的仿真和实现提供了理论基础和可行性依据。

Study on Impact Factors of Driving Decision-making Based on Grey Relation Entropy

Aiming at the great difficulties, big gray scale and non-typical distribution of data in road traffic data collection, a variety of data acquisition equipment is used to collect data. Gray relation entropy analysis is adopted to extract and sort the principal factors from road and environment. Simulation results show that this method is so objective and quantitative that the weakness of subjective analysis can be avoided effectively. At the same time, information overlapping and its disturbance caused by multi-factors to the simulation process can be avoided. This study provides a theoretical basis for the simulation and realization of automatic driving system.