Title :
A Mixed Equilibrium Traffic Assignment Model for Transportation Networks with ATIS under Demand and Supply Uncertainties
Author :
Wang, Guodong ; Shao, Hu ; Cao, Dexin
Author_Institution :
Sch. of Sci., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
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.
Keywords :
driver information systems; graph theory; road traffic; supply and demand; transportation; variational techniques; ATIS; advanced traveler information system; demand-and-supply uncertainty; driver information system; graph theory; heuristic solution algorithm; mixed equilibrium traffic assignment model; transportation network; travel time reliability-based path choice behavior; travel time variation; variational inequality problem; Automobiles; Computer networks; Heuristic algorithms; Information systems; Roads; Telecommunication traffic; Traffic control; Transportation; Uncertainty; Vehicle safety; ATIS; demand and supply uncertainties; mixed equilibrium; traffic assignment; variational inequality;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.265
