Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24398
Title: Evaluation and design of transport network capacity under demand uncertainty
Authors: Sumalee, A
Luathep, P
Lam, WHK 
Connors, RD
Issue Date: 2009
Publisher: U.S. National Research Council, Transportation Research Board
Source: Transportation research record : journal of the Transportation Research Board, 2009, no. 2090, p. 17-28 How to cite?
Journal: Transportation research record : journal of the Transportation Research Board 
Abstract: A flexible evaluation and design model for transport network capacity under demand variability is proposed. The future stochastic demand is assumed to follow a normal distribution. Traveler path choice behavior is assumed to follow the probit stochastic user equilibrium. The network reserve capacity is used to evaluate the performance of the network. Since the future demand is stochastic, the reserve capacity is measured by possible increases in both mean and standard deviation (SD) of the base demand distribution. The proposed model therefore represents the flexibility of the network in its robustness to origin-destination demand variation (i.e., high SD). The proposed model can also determine an optimal network design to maximize the reserve capacity of the network for both the mean and the SD of the increased demand distribution. The implicit programming approach is applied to solve the optimization problem. Sensitivity analysis is adopted to provide all necessary derivatives. The model and algorithm are tested with a hypothetical network to illustrate the merits of the proposed model.
URI: http://hdl.handle.net/10397/24398
ISSN: 0361-1981
DOI: 10.3141/2090-03
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