引入元胞传输模型研究动态网络交通流条件下的交叉口信号控制问题,以均衡交叉口各流向的能力为目标,分别建立了固定信号配时方法和动态信号配时方法。为了验证提出的信号控制方法的有效性,利用Cross—nested Logit模型构建了动态随机路径选择模型来获得动态随机用户均衡的交通环境;以该环境为基础在Sioux Falls网络上进行了数值试验。结果表明:动态信号配时方法比固定信号配时方法对于提高网络平均行程速度以及抑制交通拥堵更为有效,特别是平衡交通环境受到扰动时,动态信号配时方法的应用效果更为明显。
The cell transmission model was applied to the study of signal control problem under dynamic network traffic situation at intersections. Taking equilibrium of the capacity of each flow direction at intersection as objective, authors proposed a fixed signal timing method and a dynamic signal timing method. In order to verify validity of the proposed methods, a dynamic stochastic route choice model based on Cross-nested Logit model was employed to generate traffic environment of dynamic stochastic user equilibrium. Within this environment, some numerical examples were tested in Sioux Falls network. The results show that dynamic signal timing method is more effective on improving network average journey velocity and alleviating traffic congestion than the fixed signal timing method. Specially, when the equilibrium traffic environment was disturbed, the merits of dynamic signal timing method are more remarkable.