Zheng, Qipeng P. and Arulselvan, Ashwin. (2011) Discrete time dynamic traffic assignment models and solution algorithm for managed lanes. Journal of Global Optimization, Vol.51 (No.1). pp. 47-68. ISSN 0925-5001

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Abstract

"Managed" lanes of highways usually refer to lanes that are not open to all types of vehicles, such as "High Occupancy Vehicles" (HOV) lanes and "High Occupancy Toll" (HOT) lanes, etc. The HOV lanes of highways are reserved only for vehicles with a driver and one or more passengers. Whereas, HOT lanes allow all vehicles but require tolls from the vehicles with no passenger except the driver. In this paper, we present a discrete-time traffic assignment system optimum model to predict the optimal traffic flows on managed lanes at various times in the entire planning horizon. This model minimizes the overall delay (travel time) and belongs to the class of dynamic traffic assignment (DTA) problems. When applied to general networks, DTA problems can be large and difficult to solve, but the problem is manageable when it is applied to a network with managed lanes. In particular, the DTA model in this paper for managed lanes is reduced to a mixed integer program for which several efficient heuristic algorithms exist. This paper also discusses the special properties of the discrete-time DTA model, based upon which a heuristic algorithm is proposed. Numerical results show that this algorithm is efficient for many cases of the managed lane problems.

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Item Type:	Journal Article
Subjects:	H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics
Divisions:	Faculty of Science > Mathematics Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH):	Managed lanes (Traffic engineering) -- Mathematical models, Traffic assignment -- Mathematical models, Integer programming
Journal or Publication Title:	Journal of Global Optimization
Publisher:	Springer New York LLC
ISSN:	0925-5001
Date:	September 2011
Volume:	Vol.51
Number:	No.1
Page Range:	pp. 47-68
Identification Number:	10.1007/s10898-010-9618-5
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/38529

Data sourced from Thomson Reuters' Web of Knowledge

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