基于元胞自动机的车队散布模型参数变化规律的研究

车队散布模型是干线信号优化研究中的重要模型,但是散布模型的参数均由经验确定,模型的准确性很难得到保证。本文使用改进后的元胞自动机模型对路段进行微观交通流仿真,并利用仿真所得的统计数据分析车队散布参数,得到散布模型的参数与道路长度和车辆密度之间的定性定量关系,经VISSIM系统验证,结果吻合较好。根据该关系可以在干线信号协调优化过程中,对车队散布模型的参数进行实时校正,使优化结果更加准确。

Platoon Dispersion Parameters Based on Cellular Automata Modeling

The platoon dispersion model is embedded in both TRANSYT and SCOOT systems.But the experientially obtained parameters of the platoon dispersion model can hardly ensure the model accurate. In this paper,an improved cellular automata model is used to perform the microscopic simulation of traf- fic flows in road sections.The statistic data obtained from the simulation are analyzed to obtain qualita- tive and quantitative relations between the platoon dispersion model parameters,and both the road length and the vehicle density.It is verified by the VISSIM system that the result has good fitness.Ac- cording to these relations,the parameters of the platoon dispersion model can be adjusted online in the process of arterial signal optimization,thus making the optimization results more accurate.