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Traffic congestion simulation and evaluation method for large passenger station region

Traffic congestion simulation and evaluation method for large passenger station region

Wang, Bobin ORCID: 0000-0003-4437-2490, Shao, Chunfu, Zhang, Xi and Ji, Xun (2015) Traffic congestion simulation and evaluation method for large passenger station region. Journal of Chang'an University (Natural Science Edition), 35 (S1). pp. 174-178. ISSN 1671-8879 (doi:https://doi.org/10.19721/j.cnki.1671-8879.2015.s1.036)

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Abstract

The passenger station region is an important distribution channel which connects the large passenger station with the outside traffic of the region. Based on the actual situation of passenger station region and "point-line-area" thought, a "section (intersection)-road-network" traffic congestion evaluation index system was built for the passenger station region. Moreover, the combined method of "status division" and "integrated weighting" was adopted to evaluate the traffic congestion intensity of "point”, “line” and “area” layers. Further, a VISSIM simulation platform was established for the Beijing South Railway Station region to simulate and evaluate its traffic congestion intensity. The result shows that most of the “points” are in a state of mild congestion, parts of the “lines” are severe congested, and the whole network’s traffic congestion intensity is moderate congested. That means the congestion has a cumulative effect and a congested point may lead to the whole network congestion.

Item Type: Article
Uncontrolled Keywords: passenger station region, traffic congestion, evaluation index system, traffic congestion intensity (TCI), traffic simulation
Subjects: T Technology > TE Highway engineering. Roads and pavements
T Technology > TF Railroad engineering and operation
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified: 18 Jun 2020 12:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/28229

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