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Modelling and Simulation in Engineering
Volume 2014, Article ID 193280, 8 pages
http://dx.doi.org/10.1155/2014/193280
Research Article

Developing a Chaotic-Simulation Based Model for Ranking High Selected Network Links in Hazardous Material Transportation

Department of Engineering, Payame Noor University, Shahnaz Alley, Nourian Street, North Dibagi Avenue, Tehran, Iran

Received 17 July 2013; Revised 20 February 2014; Accepted 21 February 2014; Published 7 April 2014

Academic Editor: Ligang Wu

Copyright © 2014 Abbas Mahmoudabadi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Hazardous material transportation is one of the main concerns due to the nature of hazardous materials and their incident impacts. In general, transport risk is a main attribute to develop mathematical models for hazardous material routing problem as well as network designing or improving road safety. This paper presents a chaotic-simulation based model to determine the high selected links to improve road network quality for hazardous material transportation, in which risk is considered as a chaotic variable over the network whereas a simulation technique has been applied to cover a wide range of selecting paths. A real road network, consists of fifty-nine nodes and eighty two-way edges, is used for running the mathematical model and checking validation. Due to the large amounts of hazardous material transported by trucks, the proposed methodology is focused on fuel transportation, and high selected list of edges (links) has been obtained to improve road safety. Sensitivity analysis revealed that using different seeds for generating transport risk has no significant effects on finding the most frequent paths and high selected edges.