城市环境中交通拥堵传播的检测——以上海市浮动出租车数据为例

IF 1.2 Q4 TELECOMMUNICATIONS
A. Keler, J. Krisp, L. Ding
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引用次数: 7

摘要

城市环境中的交通拥堵严重影响着人们的日常生活。由于通勤者和运输车队的典型循环流动模式,我们可以在一天中的选定时间检测交通拥堵事件,即所谓的高峰时间。除了上述经常发生的交通挤塞外,还有一些非经常发生的情况,可能是由意外或新兴建的建筑地盘造成的。我们想用2007年上海的大量浮动出租车数据(FTD)来检验这种外观。我们介绍了一种简单的方法来检测和提取选定高峰时段的拥堵事件,并区分它们的复发和非复发。通过预选附近FTD点的相似速度和驱动方向值,我们为共享近邻(SNN)聚类方法提供了第一部分,然后是基于密度的聚类方法。在我们的交通拥堵集群定义之后,我们尝试通过查询个别出租车标识来连接正在进行的事件。检测到的事件然后由连接集群密度核心点的折线表示。通过比较不同日子的拥塞传播折线的形状,我们尝试对遵循相似模式的反复出现的拥塞事件进行分类。最后,对本文方法的合理性进行了论证,并提出了进一步推广的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting traffic congestion propagation in urban environments – a case study with Floating Taxi Data (FTD) in Shanghai
Abstract Traffic congestion in urban environments has severe influences on the daily life of people. Due to typical recurrent mobility patterns of commuters and transport fleets, we can detect traffic congestion events on selected hours of the day, so called rush hours. Besides the mentioned recurrent traffic congestion, there are non-recurrent events that may be caused by accidents or newly established building sites. We want to inspect this appearance using a massive Floating Taxi Data (FTD) set of Shanghai from 2007. We introduce a simple method for detecting and extracting congestion events on selected rush hours and for distinguishing between their recurrence and non-recurrence. By preselecting of similar velocity and driving direction values of the nearby situated FTD points, we provide the first part for the Shared Nearest Neighbour (SNN) clustering method, which follows with a density-based clustering. After the definition of our traffic congestion clusters, we try to connect ongoing events by querying individual taxi identifications. The detected events are then represented by polylines that connect density core points of the clusters. By comparing the shapes of congestion propagation polylines of different days, we try to classify recurrent congestion events that follow similar patterns. In the end, we reason on the reasonability of our method and mention further steps of its extension.
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
期刊介绍: The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.
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