Day-to-Day Congestion Pricing and Network Resilience
File(s)Resilience_Transportmetrica_final.pdf (571.89 KB)
Accepted version
Author(s)
Wang, Y
Liu, H
Han, K
Friesz, TL
Yao, T
Type
Journal Article
Abstract
One important indicator of traffic network resilience is rapidity, which measures the speed at which a system returns to its normal state after a disruption. In this paper, we propose a day-to-day tolling scheme to increase the rapidity of road traffic systems after disturbances caused by natural or man-made events such as accidents, flooding, earthquake, and infrastructure damage. The theory of projected dynamical systems is applied to model the transient behaviour of traffic when faced with network disruptions. We further provide three computationally tractable solution methods for designing the toll under various assumptions on the information availability. The effectiveness of the proposed tolling scheme is guaranteed by theoretically established estimates. Numerical experiments on several test networks demonstrate the effectiveness of the dynamic tolling mechanisms in improving the rapidity and the potential cost efficiency of the traffic systems.
Date Issued
2015-10-09
Date Acceptance
2015-07-14
Citation
Transportmetrica A: Transport Science, 2015, 11 (9), pp.873-895
ISSN
2324-9943
Publisher
Taylor & Francis: STM, Behavioural Science and Public Health Titles
Start Page
873
End Page
895
Journal / Book Title
Transportmetrica A: Transport Science
Volume
11
Issue
9
Copyright Statement
© 2015 Hong Kong Society for Transportation Studies Limited. This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 9 Oct 2015, available online: https://www.tandfonline.com/doi/full/10.1080/23249935.2015.1087234
Identifier
http://www.tandfonline.com/doi/abs/10.1080/23249935.2015.1087234
Subjects
resilience
congestion pricing
traffic evolution
Publication Status
Published