Risk factors are generally defined and assigned to road networks, as constant measures in hazmat routing problems. In fact, they may be dynamic variables depending on traffic volume, weather and road condition, and drivers' behavior. In this research work, risk factors are defined as dynamic variables using the concept of chaos theory. The largest Lyapunov exponent is utilized to determine the ...

Unlike widely available literatures in hazardous material (HAZMAT) transportation that basically aim at finding non dominated paths for a given origin-destination pair, our main focus in this study is on vehicle routing problem with time window (VRPTW) aspect of HAZMAT transportation problem that has received very less attention in literatures. We present a new multi-objective optimization mode...

Recently, the Value-at-Risk (VaR) framework was introduced for the routing problem of a single hazmat trip. In this paper, we extend the VaR framework in two important ways. First, we show how to apply the VaR concept to a more realistic multi-trip multi-hazmat type framework, which determines routes that minimize the global VaR value while satisfying equity constraints. Second, we show how to ...

Providing safe transportation for Hazardous Materials (Hazmat) is a concern that attracts a wide range of resaerchers. Different types of problems have been defined in the literature in order to cope as much as possible with real situations. Most of existing studies consider the transportation between two points, while few of them considered resolving the Vehicle Routing Problem (VRP) in the co...

Risk and cost are important factors in Hazmat routing problem. While the local authorities try to minimize risk, transport companies plan to reduce cost. In emergency situation, time is an important issue and should be minimized to carry vital substances of Hazmat. This is a serious concern when petrol and other fuels should be transported to the areas which are probably affected by heavy rain ...

The recent US Commodity Flow Survey data suggest that transporting hazardous materials (HAZMAT) often involves multiple modes, especially for long-distance transportation. However, not much research has been conducted on HAZMAT location and routing on a multimodal transportation network. Most existing HAZMAT location and routing studies focus exclusively on single mode (either highways or railw...

In the case of hazardous materials management, selected routes for carrying hazardous materials (i.e., hazmat) have significant effects on locating hazmat distribution centers. Since, risk and cost are usually considered as two main attributes to determine the best routes, optimized locations are sequentially outlined depending on selected routes. In the present paper, t...

This paper introduces a Value-at-Risk (VaR) model to generate route choices for a hazmat shipment based on a specified risk confidence level. The objective is to determine a route which minimizes the likelihood that the risk will be greater than a set threshold. Several properties of the VaR model are established. An exact solution procedure is proposed and tested to solve the single-trip probl...

Despite significant advances in risk management, routing hazardous materials (hazmat) has relied on relatively simpler methods. In this paper, we formally introduce an advanced risk measure, called conditional valueat-risk (CVaR), applied to truck routing problems for hazmat transportation. We find that CVaR offers a flexible, risk-averse, and computationally tractable routing method that is ad...