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Improving traffic in urban environments applying the Wardrop equilibrium

机译：改善了应用Wardrop平衡的城市环境中的交通

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摘要

Over the last few years vehicular traffic density has continuously increased and it is likely that the traffic demand will further increase in the future. In many metropolitan areas the road infrastructure is no longer able to handle the peak traffic demand and the existing road network cannot be easily extended. The best way to improve the traffic situation is to optimise the resources available in the transportation network and to coordinate the traffic demand. The approach that we propose in this paper makes use of a collaborative traffic coordination protocol which collects real-time Floating Car Data (FCD) directly from participating vehicles and suggests dynamic routes in order to minimize travel delay. Information such as speed, position and direction is sent to one or more Traffic Coordination Points (TCPs) where it is aggregated to obtain a global picture of the traffic conditions in real-time. Based on this data, we continuously compute the route that minimizes the travel time to a given destination by applying Wardrop's first principle of equilibrium. Our results show that, by coordinating the vehicles, we are able to better distribute the overall traffic demand throughout the transportation network, reducing the average travel times and accommodating more vehicles.
机译：在过去的几年里，车辆交通密度不断增加，未来可能会进一步增加交通需求。在许多大都市地区，道路基础设施不再能够处理峰值交通需求，并且现有的道路网络不能轻易扩展。提高流量情况的最佳方法是优化运输网络中可用的资源，并协调交通需求。我们提出本文的方法利用协作交通协调协同协议，该协同交通协调协同协议直接从参与车辆收集实时浮动汽车数据（FCD），并提出动态路线以最大限度地减少旅行延迟。诸如速度，位置和方向之类的信息被发送到一个或多个流量协调点（TCP），在那里聚合以实时地获得交通状况的全局图像。基于此数据，我们通过应用Wardrop的第一个平衡原则来持续计算将旅行时间最小化到给定目的地的路线。我们的结果表明，通过协调车辆，我们能够更好地分布整个运输网络的整体交通需求，减少平均旅行时间并容纳更多车辆。

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