Network Reserve Capacity under Influence of Traveler Information
Publication: Journal of Transportation Engineering
Volume 129, Issue 3
Abstract
This paper provides a hierarchical framework for studying the impact of traveler information on network reserve capacity. The framework comprises a two-level mathematical program—the upper-level program maximizes the reserve capacity multiplier subject to a link capacity constraint, and the lower-level program generates user equilibrium flow patterns under the influence of traveler information. The two-level program is solved by a genetic algorithm-based solution method. Numerical results indicate that the reserve capacity of a road network does not increase monotonically with the increase of information level. The implications of this finding, including its dependence on the characteristics of the road network, are discussed.
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Information
Published In
Journal of Transportation Engineering
Volume 129 • Issue 3 • May 2003
Pages: 262 - 270
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Nov 29, 2000
Accepted: Feb 6, 2002
Published online: Apr 15, 2003
Published in print: May 2003
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