| Advanced Traveler Information Systems(ATIS) provide qualitative and quantitative real-time traffic information before trip and while driving offering potential solutions to enhance the transportation system performance and improve the quality of travel in urban areas. The success of these smart systems relies heavily on the understanding of drivers'behavior under ATIS which has not been fully investigated, and therefore confines the implementation of ATIS in real life. The study of the decision making process of drivers'who are under ATIS is very necessary. This study makes an important practical sense on the practice of ITS(especially ATIS).An SP (Stated Preference) survey of the drivers'route choice behaviors under real-time information was conducted in a congested commuting corridor in ShenZhen of China which has the fixed origination-destination (OD), and only a few alternative routes can be chosen by the drivers. In this survey, five different scenarios of traffic information were presented to the subjects。On the basis of this survey, the drivers'route choice behaviors under each type of traffic information were modeled by GEE technology, which could account for the correlations arising in this study because each subject made multiple choices. Subsequently, the two-layer Agent model of the driver-vehicle unit was developed. The two layers are Tactical layer and Strategic layer, which describe the tasks of driving and answer for the route choice behavior under different types of information respectively. In each simulation scenario, the overall flow of the road system was used to evaluate the impacts of each type of information. Also, we studied the proportion of the uses provide with the information. Finally, the validity of this micro-simulation model was checked by plotting the flow-density (Q-D) curve, which was compared to the classical one.
|
PDF Full Text Request