Logit多路径模型下的机场陆侧交通动态瓶颈识别

为缓解机场的交通拥堵，构建考虑综合延误的Logit多路径分配模型识别机场陆侧交通需求变化时动态瓶颈。首先，构建考虑BPR(Bureau of Public Road, 美国联邦公路局)函数和Webster延误的综合延误模型；然后，考虑道路网络和出行网络之间的耦合作用，采用Logit多路径模型对起讫点之间的交通量进行动态分配，以道路饱和度为判定标准对北京首都国际机场陆侧交通动态瓶颈进行识别。并对比考虑不考虑过境交通时的陆侧交通瓶颈变化。结果表明，同一交通需求下，不考虑过境交通对陆侧交通的影响时瓶颈路段均有所减少，且随着交通需求的增加，瓶颈路段减少的越多。可见，此算例可以更好的适应交通需求的变化，并为缓解首都国际机场交通拥堵提供理论参考。

Dynamic bottleneck identification of airport landside traffic based on Logit multi-path model

In order to alleviate the traffic congestion at the airport, a Logit multi-path allocation model considering comprehensive delays is used to investigate the dynamic bottleneck when the airport landside traffic demand changes. First of all, a comprehensive delay model of BPR (Bureau of Public Road) function and Webster delay is established. Then, considering the coupling effect between the road network and the travel network, the Logit multi-path model is used to dynamically allocate the traffic volume between the starting and ending points, and the road saturation is used as the criterion to identify the dynamic bottleneck of landside traffic at Beijing Capital International Airport, and compare the changes in landside traffic bottlenecks with and without considering the impact of transit traffic. The results show that the bottleneck road sections are reduced without considering the impact of transit traffic on landside traffic under the same traffic demand, and with the increase of traffic demand, the more bottleneck road sections are reduced. It is concluded that this example can better adapt to changes in traffic demand, and provide a theoretical reference for alleviating the traffic congestion of Capital International Airport.