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Vehicle routing optimum model of hazardous materials transportation under fuzzy environment.

Authors :
Zhanzhong Wang
Liying Zhao
Ningbo Cao
Lina Yang
Mingtao Chen
Source :
Journal of Intelligent & Fuzzy Systems. 2016, Vol. 31 Issue 6, p3067-3074. 8p.
Publication Year :
2016

Abstract

Due to the larger and larger proportion of hazardous material (hazmat) transportation occupying in the national economy, more and more researchers focus on this field. With the mature of fuzzy theory, this paper puts forward a model with three constraints, they are capacity, time window, risk respectively. It assumes that the travel time and the risk are both fuzzy variables, the risk is calculated by the affected people number multiply the accident probability. The goal is to obtain the best route schedule under the three constraints. This paper simultaneously designs the genetic algorithm based on fuzzy simulation. In the end, two cases are given to illustrate the efficiency of the proposed model and algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
31
Issue :
6
Database :
Academic Search Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
120088619
Full Text :
https://doi.org/10.3233/JIFS-169192