基于心理物理综合认知结构的微观交通仿真模型

针对驾驶行为的不确定性,在分析驾驶员心理-物理微观特性的基础上,构建了基于驾驶员任务集聚的心理-物理综合认知结构及其各行为运行模式下微观交通仿真的车辆跟驰模型.运用五轮仪试验系统所采获的实际数据和多元统计分析的数学方法对模型进行了标定,并使用与模型标定过程所用到的数据不同的另一部分数据验证了模型的有效性.结果表明,该文所提出的模型和算法能够很好地刻画驾驶员心理-物理行为特性的复杂性,再现人车单元的实际动态行为,为网络交通流一体化协同仿真和智能运输系统研究提供理论基础.

Development of an Integrated Cognitive Microscopic Traffic Simulation Model

Aiming at the uncertainty of driving-behavior,a new integrated cognitive car-following model for reflecting the driver's psycho-physic characteristics is established in this paper.The model is calibrated with the field data collected by "Five-wheel experiment system" and the multi-statistical analysis method.Data different from what used in the calibrated procedure are brought into use to validate the model.The results indicate that the model is very effective for reflecting the complexity of driving behavior,and reproducing the real dynamic procedure of the driver-car unit.The model and the algorithm can be provided as the theoretic basis for integrated cooperated traffic network simulation and the intelligent transportation systems research.