摘要
本文研究允许旅行者不了解网络完全信息的Fisk随机配流模型;证明了该模型的随机特性全部体现在校正系数上,提出了求解和校正该模型的一体化算法.
This paper studies the Fish's stochastic traffic assignment model in which travelers do not have perfect knowledge of the traffic systems. It is shown that the stochastic properties of this model depend on the calibration parameter completely. An integrated algorithm for simultaneously solving and calibrating the model is developed.
出处
《系统科学与数学》
CSCD
北大核心
1997年第4期376-380,共5页
Journal of Systems Science and Mathematical Sciences
基金
国家自然科学基金
