An improved traffic network model for model-based predictive control
The paper improves a macroscopic urban traffic network model for traffic control by taking some real aspects of traffic into account.Compared with the previous model,the new model mainly considers the delay time of vehicles running from the beginning of link to the tail of the waiting queues in link under different traffic situations.Taking each of the models as a prediction model respectively,the MPC controllers are constructed and investigated.Simulation results show that both the MPC controllers based on the two models are capable of controlling the traffic network effectively,but the modified model is more efficient for using as a prediction model for MPC for urban traffic control.
Macroscopic model Urban traffic control Model predictive control Optimization
YAN Fei TIAN Fuli SHI Zhongke
School of Automation,Northwestern Polytechnical University,Xian 710072,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
3405-3410
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)