A Mixed Equilibrium Traffic Assignment Model for Transportation Networks with ATIS under Demand and Supply Uncertainties

This paper presents a new mixed equilibrium traffic assignment model for transportation networks with advanced traveler information systems (ATIS) under demand and supply uncertainties. Uncertainties in demand and supply simultaneously cause the travel time variations. Confronted with such travel time variations, drivers with and without ATIS will take different travel time reliability-based path choice behaviors. After the consideration of the co-relationship between the two driver classes, such path choice problem is formulated as a mixed equilibrium traffic assignment model in terms of a variational inequality problem, which can be solved by a heuristic solution algorithm. Numerical examples are presented to illustrate the new features of the proposed model.