Journal
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
Volume 5, Issue 3, Pages 172-197Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/15568318.2010.488277
Keywords
decomposition algorithm; emission restriction; physical capacity; side constraints; traffic equilibrium; variational inequality
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The traffic equilibrium problem plays an important role in urban transportation planning and management. It predicts vehicular flows on the transportation network by assigning travel demands given in terms of an origin-destination trip table to routes in a network according to some behavioral route choice rules. In this paper, we enhance the realism of the traffic equilibrium problem by explicit modeling various physical and environment restrictions as side constraints. These side constraints are a useful means for describing queuing and congestion effects, restraining traffic flows to limit the amount of emissions, and modeling different traffic control policies. A generalized side-constrained traffic equilibrium (GSCTE) model is presented and some characterizations of the equilibrium solutions are discussed. The model is formulated as a variational inequality problem and solved by a predictor-corrector decomposition algorithm. Two numerical experiments are conducted to demonstrate some properties of the GSCTE model and the convergence properties of the decomposition algorithm.
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