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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 cellular transmission model is introduced to study the signal control of the intersection under the condition of dynamic network traffic flow. With the goal of equalizing the flow of each intersection, a fixed signal timing method and a dynamic signal timing method are respectively established. In order to verify the validity of the proposed signal control method, a dynamic random path selection model was constructed using Cross-nested Logit model to obtain a dynamic random user-balanced traffic environment. Based on this environment, numerical experiments were carried out on Sioux Falls network. The results show that the dynamic signal timing method is more effective than the fixed signal timing method in improving the average travel speed and restraining the traffic jam. Especially when the traffic environment is disturbed, the dynamic signal timing method is more effective.