Route Optimization of the Road Transportation of Dangerous Goods Based on Bi-Level Programming
Risk and cost are the basic characteristics of the road transportation of dangerous goods. The characteristics in the programming of the road transportation network of dangerous goods were considered in this study. The influencing factors were divided into seven parts, namely, transportation distance, accident possibility, on-road population exposure, off-road population exposure, property damage, environmental pollution, and efficiency of emergency response. These factors were quantitatively evaluated by using the analytic hierarchy process. The relative weight was calculated. A bi-level model of the road transportation network of dangerous goods was formulated with the minimum risk that governments demand as the upper objective function and the minimum cost that enterprises demand as the lower objective function. The model was calculated by using the genetic algorithm (GA). The case study indicated that solving the bi-level programming model by using GA could rapidly identify a route that meets the minimum risk and cost simultaneously in the road transportation network of dangerous goods, complete the synthetical optimization of the road transportation network of dangerous goods, and find the optimal point of balance between risk and cost.
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Supplemental Notes:
- © 2016 RIOH.
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Authors:
- Song, Yang
- Wang, Ruo-yu
- Publication Date: 2016-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 92-97
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Serial:
- Journal of Highway and Transportation Research and Development (English Edition)
- Volume: 10
- Issue Number: 2
- Publisher: Research Institute of Highway, Ministry of Transport
- EISSN: 2095-6215
- Serial URL: http://ascelibrary.org/journal/jhtrcq
Subject/Index Terms
- TRT Terms: Analytic hierarchy process; Costs; Demand; Genetic algorithms; Hazardous materials; Highway transportation; Optimization; Risk assessment; Routes
- Subject Areas: Economics; Environment; Highways;
Filing Info
- Accession Number: 01609783
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Sep 1 2016 9:30AM