人-车-路闭环系统驾驶员模型参数辨识

基于在驾驶模拟器上进行的人－车－路闭环系统仿真试验，使用全局演化局部寻优的辨识算法，对驾驶员模型进行参数辨识。通过大量的实际驾驶人员的试验数据，辨识出各种水平的驾驶员模型参数，为改进智能车控制系统的设计提供了依据。利用辨识得到的驾驶员模型和车辆模型进行了人－车－路闭环系统的双移线与蛇行线仿真，仿真结果与试验数据具有很好的一致性。

Driver Model Parameter Identification of the Driver-vehicle-road Closed-loop System

Based on driver-vehicle-road closed-loop simulation experiments on the driver simulator, parameters of the driver model are identified by using global evolution local simulation. Through the experiments of many drivers, parameters of driver model with different levels are identified, which will be helpful in improving design of the intelligent vehicle control system. Using the identified driver model and vehicle model, double lane change and slalom simulation are performed. The results show good agreement with the experiments.