抄録
With the development of Route Guidance System, travelers’ route choice behaviors change rapidly yet the existing modeling methods are not satisfactory. In addition, most existing models were formulated without integrating the driver’s attitude and preference in detail. In this paper, a new route choice model which can deal with the mentioned topics is proposed. With the combined concepts of hierarchical road classification and resource constraints, the paths they are not seriously overlapped are enumerated. After then, the model calculates the path choice probabilities with respect to the given preferred arrival time. Using a real-size network, the proposed model calculated path choice probabilities with Monte Carlo simulation.
