图像处理技术在标定微观交通仿真模型中的应用

Application of Image Processing Technique in Calibrating the Microscopic Traffic Flow Simulation Model

城市交通控制的许多决策都是基于微观交通流仿真模型进行的。文章研究应用了图像处理技术来对微观交通流仿真模型的参数进行标定,并使用模拟退火算法使仿真的结果和被仿真对象的实际观测数据吻合。

many decision-makings of urban traffic control are based on microscopic simulation model of urban traffic flow. This paper uses image processing technique to calibrate the parameter of microscopic traffic flow simulation model, and uses annealing algorithm to make the results of simulation is accordance with the data of actual observation.