期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 485, 期 -, 页码 23-34出版社
ELSEVIER
DOI: 10.1016/j.physa.2017.04.155
关键词
Human mobility; City dynamics; Traffic flow prediction; Spatial-temporal correlation; Intelligent transportation
资金
- NSFC [61472087]
Urban transportation system can be viewed as complex network with time-varying traffic flows as links to connect adjacent regions as networked nodes. By computing urban traffic evolution on such temporal complex network with PageRank, it is found that for most regions, there exists a linear relation between the traffic congestion measure at present time and the PageRank value of the last time. Since the PageRank measure of a region does result from the mutual interactions of the whole network, it implies that the traffic state of a local region does not evolve independently but is affected by the evolution of the whole network. As a result, the PageRank values can act as signatures in predicting upcoming traffic congestions, We observe the aforementioned laws experimentally based on the trajectory data of 12000 taxies in Beijing city for one month. (C) 2017 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据