Network Design Problem under Uncertainty
This paper proposes a bi-level model for network design problem (NDP) under demand uncertainty. Most of the conventional NDPs are carried out under deterministic condition. Only a few studies pay attention to NDPs under uncertainty in transportation networks. In this paper, the conventional NDP is extended to explicitly take into account the demand uncertainty, which refers to the fluctuations of dayto-day total number of vehicular trips between an origin-destination pair during the observational window. Under such uncertain condition, travel times are no longer deterministic and travelers have to consider risk-taking path choice behaviors. The corresponding reliability-based traffic assignment model is adopted as the lower-level problem of the bi-level model. The upper-level problem utilizes the expected total system travel time as the objective function for determining the optimal capacity enhancement scheme. An Iterative-OptimizationAssignment algorithm is developed to solve the bilevel model. In the numerical example, it is found that travelers risk-taking behaviors have significant impact on the results of NDP under uncertain condition.
network design problem demand uncertainty reliability-based path choice behaviour
Hu SHAO Yanqiang WU Jian ZHAO Yuping FANG
School of Sciences, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China
国际会议
昆明、丽江
英文
1083-1086
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）