Abstract
In order to analyze the impact of the advanced traveler information systems (ATIS) on travelers' route choice behaviors, a bi-level programming model of road network reserve capacity considering link capacity restraint has been built. In the model, a mixed stochastic traffic assignment has been used to describe network equilibrium flow patterns under different information parameters in the lower model and the basic OD traffic demand multiplier is maximized without exceeding the corresponding link capacity in the upper model. A heuristic algorithm has been established to solve the model. Some numerical studies on a small road network have been presented to demonstrate the impact of different market penetration of ATIS on road network reserve capacity. The results show that network reserve capacity falls with market penetration increasing. Therefore, centralized effect should be evaluated during the implementation process of ATIS.
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