Representing the finite capacity constraints of vehicles in a transit assignment model, for networks where the vehicle capacities are small and buses do not operate to timetables, requires an accurate representation of the impacts on passenger costs and flows as well as their day-to-day variability. This study presents a composite frequency-based and schedule-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. A proof of the model's Markov property and regularity, its sensitivity to some parameters, and comparisons with the Cepeda et al (2006) model (see ITRD number E129126 for an abstract) are presented using a test network. For the covering abstract seeITRD E144727. Reprinted with permission of Elsevier.
Samenvatting