Multi-class percentile user equilibrium with flow-dependent stochasticity

Different Network Performance Measures in a Multi-Objective Traffic Assignment Problem

Traffic assignment algorithms are used to determine possible use of paths between origin-destination pairs and predict traffic flow in network links. One of the main deficiencies of ordinary traffic assignment methods is that in most of them one measure (mostly travel time) is usually included in objective function and other effective performance measures in traffic assignment are not considere...

/ the Multi - Modal Traffic Assignment Problem

Traffic equilibrium analysis 4~s provided useful insight into the transportation planning proce~s. Even for deterministic demand models, though, the state-of-the-art does not include any efficient approach that is applicable for general equilibrium models. Existing convex programming approaches, which are efficient and guarantee convergence, are restrj.cted to single commodity (mode, user class...

A Multi-mode, Multi-class Dynamic Network Model With Queues For Advanced Transportation Information Systems

In this paper we propose a composite Variational Inequality formulation for modeling multimode, multi-class stochastic dynamic user equilibrium problem in recurrent congestion networks with queues. The modes typically refer to different vehicle types such as passenger cars, trucks, and buses sharing the same road space. Each vehicle type has its own characteristics, such as free flow speed, veh...

Laminar and Turbulent Aeroheating Predictions around Multi -Cone Configurations in Hypersonic Equilibrium - Air Flow

Modeling User Responses to Pricing: Simultaneous Route and Departure Time Network Equilibrium with Heterogeneous Users

An important dimension in users’ responses to dynamic pricing schemes is the possible shift in the timing of trips, in addition to changing travel routes. User responses to pricing are governed by individual tripmakers’ preferences, such as their value of time, and the cost they attach to late vs. early arrival relative to the destination. These behavioral characteristics vary across users. Cap...