Dynamic micro-assignment modeling approach for integrated multimodal urban corridor management

摘要: Abstract Development and analysis of demand management strategies for integrated multimodal urban corridor requires application a new generation modeling network tools. This paper describes the development dynamic trip micro-assignment (meso) simulation system that incorporates individual tripmaker choices travel mode, departure time route in transportation networks (with different modes such as drive alone, shared ride, bus rapid transit metro rail). These choice dimensions are stochastic utility maximization framework considers multiple user decision criteria time, cost, schedule delay, well reliability. A variational inequality model is first proposed to describe general traffic equilibrium problem. For typical case assumes logit-based alternative model, this develops an equivalent gap function-based optimization formulation heuristic iterative solution procedure. Based on multi-dimensional representation, efficient time-dependent least cost path algorithm embedded generate intermodal set recognizes mode transfer costs feasible sequences. two-stage estimation procedure can systematically utilize historical static information, link counts, empirically calibrated models infer commuters’ preferred arrival distribution, which important dynamics. study based large-scale (adapted from Baltimore–Washington corridor) presented illustrate capabilities methodology provide insight into potential benefit management.