Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems
研究了拥堵网络上静态Wardrop用户均衡的tatonnement模型，分析了稳定性并展示了模型如何描述逐日调整过程，以及信息质量对调整路径的影响。
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.