A MULTIPLE ROUTE CONDITIONAL RISK MODEL FOR TRANSPORTING HAZARDOUS MATERIALS

This paper considers the problem of developing effective routes for transporting hazardous materials for the case where the routing ends after the occurrence of the first accident. A multiple route situation is permitted, the objective being to minimize the expected risk of the first accident, with constraints on the accident probabilities, the expected a priori risk, the transportation cost, and the equity of risk. A column generation technique is used to generate heuristic solutions. A brief summary of our results from extensive computational testing, based on a ''real-life'' hazardous materials routing scenario, is presented. Also presented is an example problem that illustrates several features of the model.