Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model
Date
2022-01-20
Authors
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi
Authors
Person
Wang, Lizhi
Affiliate Professor
Person
Hu, Guiping
Affiliate Associate Professor
Person
Dong-O'Brien, Jing
Associate Professor
Research Projects
Organizational Units
Organizational Unit
Organizational Unit
Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
Organizational Unit
Organizational Unit
Journal Issue
Is Version Of
Versions
Series
Department
Civil, Construction and Environmental EngineeringIndustrial and Manufacturing Systems EngineeringBioeconomy InstituteElectrical and Computer Engineering
Abstract
This study addresses uncertainty in a transportation network by proposing a trilevel optimization model, which improves resiliency against uncertain disruptions. The goal is to minimize the total travel time by designing a resilient transportation network under uncertain disruptions and deterministic origin-destination demands. The trilevel optimization model has three levels. The lower level determines the network flow, and the middle level assesses the network’s resiliency by identifying the worst-case scenario disruptions that could lead to maximal travel time. The upper-level takes the system perspective to expand the existing transportation network to enhance resiliency. We also propose a formulation for the network flow problem to significantly reduce the number of variables and constraints. Two algorithms have been developed to solve the trilevel model. The results of solving the highway network in Iowa show that the trilevel optimization model improves the total travel time by an average of 41%.
Comments
This article is published as Rahdar, Mohammad, Lizhi Wang, Jing Dong, and Guiping Hu. "Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model." Journal of Advanced Transportation 2022 (2022): 5023518. DOI: 10.1155/2022/5023518. Copyright 2022 Mohammad Rahdar et al. Attribution 4.0 International (CC BY 4.0). Posted with permission.