A Strategic User Equilibrium Model Incorporating Both Demand and Capacity Uncertainty

摘要: In this paper, the authors present an extension of a novel equilibrium based assignment model originally proposed by Dixit et al (2013), which addresses day-to-day volatility in travel conditions resulting from short-term demand uncertainty, incorporating impact capacity uncertainty. Specifically, and variability are represented independently using assumed known distributions. The is on premise that users gain knowledge distributions through their past experience. Using knowledge, seek to minimize expected time choose strategy (i.e. route) accordingly. They then follow day-to-day, independent realized traffic capacity. network may therefore result non-equilibrium patterns, consistent with lack observed field networks. mathematically formulated, expressions for analytical link times corresponding derived uniqueness solution regarding flows proven. Numerical analysis conducted demonstrate performance reliability comparing results simulation assignment.