Robust improvement schemes for road networks under demand uncertainty |
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| Authors: | Yafeng Yin Samer M. Madanat Xiao-Yun Lu |
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| Affiliation: | 1. Department of Civil and Coastal Engineering, University of Florida,365 Weil Hall, Box 116580,Gainesville, FL 32611, United States;2. Department of Civil and Environmental Engineering, 114 McLaughlin Hall, University of California, Berkeley, CA 94720, United States;3. California PATH Program, University of California, Berkeley, 1357 S. 46th Street, B452, Richmond, CA 94804, United States |
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| 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. |
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| Keywords: | Transportation Network design Uncertainty modelling Robustness and sensitivity analysis |
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