Journal
JOURNAL OF INFRASTRUCTURE SYSTEMS
Volume 20, Issue 3, Pages -Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)IS.1943-555X.0000147
Keywords
Traffic assignment; Multiobjective bilevel model; Fuzzy random; Optimization
Categories
Funding
- NSFC [70831005]
- 985 Program of Sichuan University Innovative Research Base for Economic Development and Management
- Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China
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This article presents an optimization method for solving a material flow traffic assignment problem (TAP) in a large-scale construction project considering a hierarchical structure with fuzzy random variables. A multiobjective bilevel decision-making model is established in which the transportation time and cost in each arc are considered as fuzzy random variables. The construction contractor, the leader in the hierarchy, aims to minimize both total direct and transportation time costs. The transportation agency, next in the hierarchy, assesses the target to minimize total transportation cost. To deal with the uncertainties, the expected value operator and chance constraint method are used to transform the uncertain model into a calculable one. Furthermore, a multiobjective bilevel particle swarm optimization algorithm with a fuzzy random simulation-based constraint checking procedure is applied to solve the model. Finally, the Shuibuya Hydropower Project is used as a practical example to demonstrate the practicality and efficiency of the proposed model. Results and a sensitivity analysis are presented to highlight the performance of the optimization method. (C) 2014 American Society of Civil Engineers.
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