Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems

Terry L. Friesz, David Bernstein, Nihal J. Mehta, Roger L. Tobin and Saiid Ganjalizadeh
Additional contact information
Terry L. Friesz: George Mason University, Fairfax, Virginia
David Bernstein: Princeton University, Princeton, New Jersey
Nihal J. Mehta: American Airline Decision Technology, Dallas, Texas
Roger L. Tobin: GTE Laboratories Incorporated, Waltham, Massachusetts
Saiid Ganjalizadeh: George Mason University, Fairfax, Virginia

Operations Research, 1994, vol. 42, issue 6, 1120-1136

Abstract: In this paper we present tatonnement models for calculating static Wardropian user equilibria on congested networks with fully general demand and cost structures. We present both a qualitative analysis of stability and numerical studies which show that such an approach provides a reliable means for determining static user equilibria. We also describe circumstances for which these models depict day-to-day adjustments from one realizable disequilibrium state to another and how these adjustment processes differ depending on the “quality” of the information being provided by (abstract) traveler information systems. Specifically, we demonstrate that such dynamic adjustment processes settle down to equilibria both when information is complete and when it is incomplete.

Keywords: games/group decisions: noncooperative; programming: infinite-dimensional; transportation: assignment models (search for similar items in EconPapers)
Date: 1994
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