Abstract

Advanced Traveler Inoformation Systems*ATIS) , as a subsystem of ITS influence the travel choices of dreivers by providing them with historical, real-time and predictive information to supprot travel decisions and consequently improves the speed and quality of travel. For thesuccessul accomplishment of ATIS, the time-dependent variations of traffic in a road network and travel times of vehicles during their journey must be predicted . The purpose of this study is to evaluate the past developments in the dynamic route choice models and to apply the instantaneous dynamic user optimal route choice model. recently formulated with flow propagation constraints by Ran, Boyce and LeBlanc, to the real transportation network of Seocho-Ku in Seoul. As input data for this application, the time-dependent travel rates are estimated and the link travel time function is derived. The modelis validated from three view points : the efficiency of model itself the ability to predict traffic volume and travel time on links, and the optimal traffic control.

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이 논문을 인용한 문헌 (2)

1. 1997. "Development of A Heuristic Dynamic Traffic Assignment Model" 大韓交通學會誌 = Journal of Korean Society of Transportation, 15(2): 51~66  원문보기 상세보기
2. 2001. "A Dynamic assignment model for Dynamic Traffic Management in AM Peak" 大韓交通學會誌 = Journal of Korean Society of Transportation, 19(4): 97~108  원문보기 상세보기