DAY-TO-DAY DYNAMIC NETWORK DISEQUILIBRIA AND IDEALIZED TRAVELER INFORMATION-SYSTEMS

In this paper we present tatonnement models for calculating static War dropian user equilibria on congested networks with fully general deman d and cost structures. We present both a qualitative analysis of stabi lity and numerical studies which show that such an approach provides a reliable means for determining static user equilibria. We also descri be circumstances for which these models depict day-to-day adjustments from one realizable disequilibrium state to another and how these adju stment processes differ depending on the ''quality'' of the informatio n being provided by (abstract) traveler information systems. Specifica lly, we demonstrate that such dynamic adjustment processes settle down to equilibria both when information is complete and when it is incomp lete.