Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/44085
Title: Dynamic modelling of traffic incident impacts on network reliability
Authors: Li, X 
Lam, WHK 
Shao, H
Gao, Z
Keywords: Network reliability
Reliability-based dynamic traffic assignment
Speed limit
Traffic incident
Issue Date: 2015
Publisher: Taylor & Francis
Source: Transportmetrica. A, Transport science, 2015, v. 11, no. 9, p. 856-872 How to cite?
Journal: Transportmetrica. A, Transport science 
Abstract: A traffic incident is one of the major sources for degrading network capacity, inducing traffic congestion, and decreasing network reliability. The impacts of a traffic incident on network reliability have been extensively studied with the use of static network equilibrium or dynamic simulation models. In this paper, an analytical reliability-based dynamic traffic assignment (DTA) model is proposed for assessing the temporal and spatial impacts of a traffic incident on network reliability. The proposed DTA model can be used to estimate the stochastic link flow pattern and route travel time distribution for examining the impacts of a traffic incident on the on-time arrival probability with and without dynamic speed limit (SL) control. It is shown that a traffic incident on a congested road during peak period will greatly decrease the on-time arrival probability, particularly when the incident has greater effects on link capacity degradation with longer duration. Under certain circumstances, SL control can be employed to reduce total network delay during the time intervals with a traffic incident.
URI: http://hdl.handle.net/10397/44085
ISSN: 2324-9935
EISSN: 2324-9943
DOI: 10.1080/23249935.2015.1087695
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