Robust Optimization Model for a Network Design Problem Under OD Demand Uncertainty

被引:2
|
作者
Xie, Tao Feng [1 ]
Cao, Jin Xin [2 ]
Chen, Guo Qing [1 ]
Wu, Jun [2 ]
机构
[1] Inner Mongolia Univ, Sch Math Sci, Hohhot 010021, Peoples R China
[2] Inner Mongolia Univ, Inst Transportat, Hohhot 010070, Peoples R China
基金
中国国家自然科学基金;
关键词
transportation network problem; OD demand uncertainty; robust optimization;
D O I
10.1016/j.sbspro.2013.08.129
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In many applications, the network design problem faces uncertainty in OD demand, as it can be difficult to estimate current and future values of OD demand. In this paper, we present a network design model under OD demand uncertainty in order to quantify the effect of the uncertainty by the robust optimization. An optimization algorithm based on a cutting constraint algorithm solves the mixed integer linear programming. A computational experiment shows that total travel time is connected with the uncertainty level, the infeasibility tolerance and the reliability level in transportation network design problems. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1127 / 1135
页数:9
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