关键词: 多相位交通信号, TSP模型, 蚁群算法, 通行能力

Abstract: Based on the character of urban traffic flow，this paper describes a multiphase traffic signal timing TSP model，and adopts a novel optimization algorithm——Ant Colony Algorithm（ACA），which optimizes the multiphase traffic signal timing of intersection，and takes simulation experiments with the least vehicle total delay of every cycle as the performance index.The experiments show that on the same time and the same vehicle arrival rate conversation，the timing method used by ACA to optimize phase and green split is better than the classical fixed-time method，and also better than the fixed-phase optimizing green split，and it can be reduced vehicle delay and improved traffic capacity in isolated intersection.The ACA can be solved problems quickly with good stability.

Key words: multiphase traffic signal, TSP model, Ant Colony Algorithm（ACA）, expressway capacity