Dynamic traffic equilibrium implies that each commuter can correctly utilize complete, perfect and real-time information on travel conditions released by advanced traveler information systems (ATIS). In reality, traffic information provided by ATIS is rarely perfect, and drivers' capability of processing information is restricted within certain limits. This paper investigated commuters' day-to-day adjustment to departure time through comparing the differences of the private total costs between time intervals, based on their own experience and aforetime information, and explored their learning behaviors on the traffic dynamics of the bottleneck model. Finally, a bottleneck network example showed that how commuters' adjustment behavior affects the evolution of traffic flow over days. Commuters' departing early or later leads to two morning peaks in the departure rates. The departure rates under different ω-values are distinguishable from, but approximate to the departure rate at equilibrium state.
Day-to-Day Departure Time Adjustment Behaviors in a Single Bottleneck Model
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
2009-07-29
Conference paper
Electronic Resource
English
Day-to-Day Departure Time Adjustment Behaviors in a Single Bottleneck Model
British Library Conference Proceedings | 2009
|Multiclass Continuous-Time Equilibrium Model for Departure Time Choice on Single-Bottleneck Network
Online Contents | 2002
|Multiclass Continuous-Time Equilibrium Model for Departure Time Choice on Single-Bottleneck Network
Transportation Research Record | 2002
|Multiclass Continuous-Time Equilibrium Model for Departure Time Choice on Single-Bottleneck Network
British Library Conference Proceedings | 2002
|Taylor & Francis Verlag | 2013
|