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.
최적제어이론을 이용한 동적 통행배정모형에 관한 연구 ,
서울대 석사 학위논문 / v.,pp., 1995
瑞草地域 交通運營改善事業 基本 및 實施設計 / v.,pp., 1990
最適制御理論을 利用한 動的 通行 配定模型의 適用에 관한 硏究 ,
서울대 博士學位論文 / v.,pp., 1995
A Dynamic Traffic Assignment Model and a Solution Algorithm ,
Transportation Science / v.26,pp.119-128, 1992