A Traffic Congestion Assessment Method for Urban Road Networks Based on Speed Performance Index
This study aimed to analyze traffic congestion in urban road networks. The speed performance index was adopted to evaluate the existing road network conditions of congestion, then road segment and network congestion indexes were introduced to respectively measure the congestion levels of urban road segment and network. This study also carried out a traffic congestion analysis for Beijing expressway network, based on the speed performance data collected from January 1 to November 1, 2012, by Beijing Traffic Management Bureau (BTMB). Based on these analyses the proposed congestion indexes can well assess the traffic congestion conditions of urban road networks. More importantly, such an assessment study provides traffic control and management agencies an accurate and clear understanding of operation status of traffic networks.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
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Supplemental Notes:
- © 2016 Feifei He et al. Published by Elsevier Ltd.
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Authors:
- He, Feifei
- Yan, Xuedong
- Liu, Yang
- Ma, Lu
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Conference:
- 6th International Conference on Green Intelligent Transportation System and Safety (GITSS2015)
- Location: Beijing , China
- Date: 2015-7-2 to 2015-7-4
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 425-433
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Serial:
- Procedia Engineering
- Volume: 137
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-7058
- Serial URL: http://www.sciencedirect.com/science/journal/18777058
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Highway traffic control; Speed; Traffic congestion; Urban areas
- Uncontrolled Terms: Performance index; Road networks
- Geographic Terms: Beijing (China)
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01607522
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 10 2016 11:05AM