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The Loss of Efficiency Caused by Agents’ Uncoordinated Routing in Transport Networks

机译:传输网络中业务代表的不协调路由导致效率降低

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摘要

Large-scale daily commuting data were combined with detailed geographical information system (GIS) data to analyze the loss of transport efficiency caused by drivers’ uncoordinated routing in urban road networks. We used Price of Anarchy (POA) to quantify the loss of transport efficiency and found that both volume and distribution of human mobility demand determine the POA. In order to reduce POA, a small number of highways require considerable decreases in traffic, and their neighboring arterial roads need to attract more traffic. The magnitude of the adjustment in traffic flow can be estimated using the fundamental measure traffic flow only, which is widely available and easy to collect. Surprisingly, the most congested roads or the roads with largest traffic flow were not those requiring the most reduction of traffic. This study can offer guidance for the optimal control of urban traffic and facilitate improvements in the efficiency of transport networks.
机译:将大规模的日常通勤数据与详细的地理信息系统(GIS)数据相结合,以分析由于驾驶员在城市道路网络中的路线不协调而造成的运输效率损失。我们使用无政府状态价格(POA)来量化运输效率的损失,并发现人口流动需求的数量和分布决定了POA。为了减少POA,少数高速公路需要大幅度减少交通量,而其相邻的主干道需要吸引更多的交通量。只能使用基本度量交通流量来估算交通流量调整的幅度,该基础度量交通流量广泛且易于收集。出人意料的是,最拥挤的道路或交通流量最大的道路并不是要求减少交通量最多的道路。这项研究可以为城市交通的最佳控制提供指导,并有助于提高运输网络的效率。

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