摘要
本文研究允许行车者不完全了解网络信息的Fisk运量随机配流模型。证明了该模型的随机性全部体现在校正系数上。在给出“有效路径”集合的概念和构建方法后,提出了求解和校正Fisk模型的综合算法。例题检验了模型的特性和算法的有效性。
This paper studies risk's stochastic assignment model in which travelers arc assumed to have net the perfect knowledge of the traffic system. It is shown that the stochastic properties of this model depends on the calibration parameter, completely. After giving the searching method cf 'efficient paths' set, a combined algorithm for solving and calibrating Fisk's stochastic traffic assignment racdel is developed. Numerical examples are presented to illustrate the model's properties and the algorithm's efficiencies.
出处
《系统工程》
CSCD
1994年第4期45-53,共9页
Systems Engineering
基金
国家自然科学基金资助课题
关键词
城市交通网络
运量配流
随机配流模型
stochastic traffic assignment, efficient path, parameter calibr- ation, combined algorithm
