Application of E-Tag in Pricing Road Tolls and Parking Fees for Traffic Congestion Mitigation
In this paper, the authors provide theoretical structures to present the influence of e-Tag on an individual's total travel cost such that traffic managers can better moderate urban congestion. First, the authors discuss the substitution effects of these two pricing mechanisms for a simple network structure. Then the authors demonstrate how the substitution effects of parking fee can reduce urban congestion for more general networks. By using the two-way communication properties of e-tag, vehicles can be detected both on the road and in the parking lots. The insights of using substitution of road tolls and parking fees are further investigated using theoretical models with simple road networks to support the transportation policy making. This paper sheds lights on the substitution effects of these two mechanisms with theoretical analyses, and proposes possibilities for advanced congestion management.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 C P Chu et al. Published by Elsevier B.V.
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Authors:
- Chu, C P
- Wang, C Y
- Hu, S R
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Conference:
- World Conference on Transport Research - WCTR 2016
- Location: Shanghai , China
- Date: 2016-7-10 to 2016-7-15
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 2917-2926
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Serial:
- Transportation Research Procedia
- Volume: 25
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Automatic license plate readers; Congestion management systems; Congestion pricing; Parking fees; Policy making; Road pricing; Toll roads; Traffic congestion; Vehicle detectors
- Subject Areas: Data and Information Technology; Finance; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01639552
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 28 2017 2:39PM