Designing a Road Network for Hazardous Materials Transportation with Fuzzy Parameters Based on Optimum Communication Steiner Tree
In this paper, the authors consider the problem of network design for hazardous materials transportation in a road network in an uncertain environment. Assume that the parameters such as transport risks of road sections are uncertain and can be represented by fuzzy numbers. A minimum risk Steiner tree network model is developed for this network design problem and there exists one and only one route between any given origin and destination in the tree network. The objective is to minimize the total risk of the hazardous materials transportation. To solve the tree network model with fuzzy parameters, they provide a fuzzy chance-constrained programming model for it, then convert it to the crisp equivalent, and lastly solve the crisp equivalent model using an off-the-shelf solver. The numerical example shows that different confidence levels lead to different Steiner tree networks and in order to design a robust hazardous materials transportation network, we should take into account the fuzziness of the parameters.
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Supplemental Notes:
- © 2009 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Gao, Qingping
- Yan, Qipeng
- Luo, Yu
- Lin, Yu
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Conference:
- Second International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2009-7-25 to 2009-7-27
- Publication Date: 2009-7
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 3730-3735
- Monograph Title: International Conference on Transportation Engineering 2009
Subject/Index Terms
- TRT Terms: Communication; Freight transportation; Fuzzy systems; Hazardous materials; Highway design; Networks
- Subject Areas: Design; Freight Transportation; Highways; Planning and Forecasting; I20: Design and Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01535578
- Record Type: Publication
- ISBN: 9780784410394
- Files: TRIS, ASCE
- Created Date: Aug 27 2014 10:50AM