将城市交通节奏融入道路网络。

Encapsulating urban traffic rhythms into road networks.

作者信息

Wang Junjie, Wei Dong, He Kun, Gong Hang, Wang Pu

机构信息

1] School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, 410000, P.R. China [2].

School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, 410000, P.R. China.

出版信息

Sci Rep. 2014 Feb 20;4:4141. doi: 10.1038/srep04141.

DOI:10.1038/srep04141

PMID:24553203

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3929915/

Abstract

Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indicating that our method can encapsulate dynamical travel demand information into the road networks. As a proof of concept, when we lowered the speed limit or increased the capacity of road segments in the targeted road clusters, we found that both the number of congested roads and extra travel time were effectively reduced. In addition, the proposed modeling framework provided new insights on the optimization of transport efficiency in any infrastructure network with a specific supply and demand distribution.

摘要

利用美国两个城市地区的道路地理信息系统（GIS）数据和出行需求数据，确定了每个路段的动态驱动源。随后开发了一种针对与城市交通拥堵密切相关的道路集群的方法，以提高道路网络效率。目标道路集群在一天中的不同时间呈现出不同的空间分布，这表明我们的方法能够将动态出行需求信息纳入道路网络。作为概念验证，当我们降低目标道路集群中路段的限速或增加其容量时，我们发现拥堵道路的数量和额外出行时间都得到了有效减少。此外，所提出的建模框架为优化任何具有特定供需分布的基础设施网络的运输效率提供了新的见解。