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Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-07
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
A bilevel optimization model for a hazardous materials transportation network design is presented which considers an emergency response teams location problem.
On the upper level, the authority designs the transportation network to minimize total transportation risk.
On the lower level, the carriers first choose their routes so that the total transportation cost is minimized.
Then, the emergency response department locates their emergency service units so as to maximize the total weighted arc length covered.
In contrast to prior studies, the uncertainty associated with transportation risk has been explicitly considered in the objective function of our mathematical model.
Specifically, our research uses a complex fuzzy variable to model transportation risk.
An improved artificial bee colony algorithm with priority-based encoding is also applied to search for the optimal solution to the bilevel model.
Finally, the efficiency of the proposed model and algorithm is evaluated using a practical case and various computing attributes.
American Psychological Association (APA)
Xu, Jiuping& Gang, Jun& Lei, Xiao. 2013. Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-22.
https://search.emarefa.net/detail/BIM-1031946
Modern Language Association (MLA)
Xu, Jiuping…[et al.]. Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment. Mathematical Problems in Engineering No. 2013 (2013), pp.1-22.
https://search.emarefa.net/detail/BIM-1031946
American Medical Association (AMA)
Xu, Jiuping& Gang, Jun& Lei, Xiao. Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-22.
https://search.emarefa.net/detail/BIM-1031946
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031946