A Markov process model for frequency-based transit assignment with strict capacity constraints

摘要

Representing capacity constaints of transit vehicles, for networks where the vehicle capacities are small and the buses do not operate to timetables, requires an accurate representaton of the impacts on passenger costs and flows, and their day-to-day variability. This paper presents a frequency-based Markov process model for transit assignment that considers the day-to-day dynamics of the transit network, whereby line frequencies are used to parameterise distributions of vehicle arrivals and the passenger flows are constrained to the individual vehicle capacities.