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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.Keywords-advanced traveler information systems (ATIS); road network capacity; mixed stochastic user equilibrium; bi-level programming

In order to obtain road network capacity under specified service level, a bi-level programming model of network reserve capacity based on road service level restraint is built. In this model, the basic OD traffic demand multiplier is maximized with service level restraint in the upper problem and a stochastic user equilibrium assignment model is used in the lower model. A algorithm is proposed for this bi-level programming model. A numerical example on a small road network is presented to demonstrate the effectiveness of the model and algorithm, and it indicates a positive correlation between the threshold of road network service level and road network reserve capacity: the more serious the traffic congestion degree is, the larger the traffic demand multiplier will be.