The (point-queue) roadway bottleneck model has been adopted to study commuting issues for decades. To the best of our knowledge, the research path of user equilibrium (UE) analysis in a bottleneck-constrained roadway system under uncertainty and the research path of the stability of a bottleneck system’s UE state has not come to an intersection yet. This study investigates the dynamical evolution of travelers’ departure time choice in a bottleneck-constrained roadway system with stochastic capacity. When considering day-to-day traffic evolution, this study explores two scenarios: travelers have long-term historical knowledge and real-time information provision; and travelers have short-term travel experience and real-time information provision. This study also models boundedly rational travelers in the day-to-day evolution context. This study sheds light on the trade-off between daily (short-term) equilibrium and statistical (long-term) equilibrium.

CICTP