An Information Based Routing Model for Hazardous Material Route Selection Problem

Abstract

In this paper, we address some key research questions concerning the alternative routing policy of hazardous materials in real time using stochastic dynamic networks based on real life situations. The scenario that we address in this paper involves the use of sophisticated communication tools to provide information on the current condition of the optimal path and incorporate them in our optimization model to generate alternative routes for hazmat vehicles. We address the issues of designing a framework and requirements for an adaptive routing system. To overcome system instability and information overloading, a feeback based routing policy within the framework has been developed. We show the implementation of the framework and disucss the potential benefits of our approach with the help of numerical experiments based on a real hazmat transportation network.