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.
Highlights
IntroductionOne of the most important issues in this area is to find the best path for transporting hazardous materials
Determining the route for hazardous materials, hazmat routing problem, is usually known as a two-sided consideration problem, in which the local authorities are interested in minimizing public risk and transport companies or carriers are concerned about minimizing transport cost [4]
The safest path for hazardous material transportation is generally determined by minimizing risk and cost for specified origins and destinations
Summary
One of the most important issues in this area is to find the best path for transporting hazardous materials. Determining the route for hazardous materials, hazmat routing problem, is usually known as a two-sided consideration problem, in which the local authorities are interested in minimizing public risk and transport companies or carriers are concerned about minimizing transport cost [4]. A combination of risk and cost is observed in mathematical models as a usual way to find the best path which is not necessarily as the shortest path. Different combinations of risk and cost priorities lead researchers to use different methods for solving hazmat routing problem [5, 6]
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