Vehicle routing optimum model of hazardous materials transportation under fuzzy environment

Issue title: Some highlights on fuzzy systems and data mining

Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu

Article type: Research Article

Authors: Wang, Zhanzhong^a | Zhao, Liying^{a; *} | Cao, Ningbo^a | Yang, Lina^a | Chen, Mingtao^b

Affiliations: [a] College of Transportation, JiLin University, ChangChun, JiLin, China | [b] Hualan Design and Consulting Group, Nanning, Guangxi, China

Correspondence: [*] Corresponding author. Liying Zhao, College of Transportation, JiLin University, RenMin Street 5988, ChangChun, JiLin, China. Tel.: +86 15764334588; Fax: +86 0431 85095857; E-mail: zhaoliying11@126.com.

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.

Keywords: Hazardous material (hazmat) transportation, fuzzy theory, three constraints, best route schedule

DOI: 10.3233/JIFS-169192

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3067-3074, 2016