Study on interregional traffic coordination based on multi-objective optimization

Traffic control and route guidance is a common method for realizing area traffic coordination. Firstly, the travel time of local area network and intersection delay are selected as the optimization objective of the network system, meanwhile considering the constraints about capacity in boundary region. Furthermore, regional internal control, induced coordination effect and coordination with cross-sub segments are abstracted into a multi-objective optimization problem, simultaneously, introducing the weighted strength parameters to reflect the different preference information of transportation decision-maker for different traffic influence on cooperative system. Finally the paper gives a genetic algorithm solution to the problem, and then traffic simulation software Paramics is used to analyze the real-world road network in Wangjing district in Beijing. Simulation results show that the cooperative algorithm can effectively alleviate the local traffic congestion and improve traffic operation efficiency.