基于遗传算法的交通仿真模型参数校正方法研究

Study on Correction Method of Traffic Simulation Model Based on Genetic Algorithm

参数校正是交通仿真模型应用中的重要环节。基于遗传算法设计的交通仿真模型参数校正方法,可以在交通仿真软件VISSIM平台中结合实际交通调查数据对其进行验证。结果表明,采用该方法校正后的仿真模型参数能够更好地符合实际道路交通状况,且能有效地减少参数校正的仿真试验次数,同时该研究结果也可以推广应用于其他类型的交通仿真模型中去。

Parameters calibration is a crucial calibration of traffic simulation based on genetic step to be used in traffic simulation models. A method for algorithm can be corrected in software platform VISSIM combining practical investigated data. As result shown, this simulated model parameter fitting good for practical road traffic condition can reduce the test times for simulation, and can be popularized and applied in other traffic simulation models.