Robust improvement schemes for road networks under demand uncertainty.(Report) Yin, Yafeng; Madanat, Samer M.; Lu, Xiao-Yun

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Authors
Yin, Yafeng ; Madanat, Samer M. ; Lu, Xiao-Yun
Appears In
European Journal of Operational Research
Subjects
Road construction industry -- Analysis; Road construction industry -- Models; Models
Audience
Academic; Trade
Summary
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ejor.2008.09.008 Byline: Yafeng Yin (a), Samer M. Madanat (b), Xiao-Yun Lu (c) Keywords: Transportation; Network design; Uncertainty modelling; Robustness and sensitivity analysis Abstract: This paper is concerned with development of improvement schemes for road networks under future travel demand uncertainty. Three optimization models, sensitivity-based, scenario-based and min-max, are proposed for determining robust optimal improvement schemes that make system performance insensitive to realizations of uncertain demands or allow the system to perform better against the worst-case demand scenario. Numerical examples and simulation tests are presented to demonstrate and validate the proposed models. Author Affiliation: (a) Department of Civil and Coastal Engineering, University of Florida,365 Weil Hall, Box 116580,Gainesville, FL 32611, United States (b) Department of Civil and Environmental Engineering, 114 McLaughlin Hall, University of California, Berkeley, CA 94720, United States (c) California PATH Program, University of California, Berkeley, 1357 S. 46th Street, B452, Richmond, CA 94804, United States Article History: Received 27 August 2006; Accepted 9 September 2008
Bookmark
http://trove.nla.gov.au/work/9958
Work ID
9958

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