Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective routing model with time windows employed where risk distance are minimized. Due uncertainty risk, Z-number fuzzy approach used estimate in which probability occurrence severity considered context Z-infor...

The current literature in the rail–truck intermodal transportation of hazardous materials (hazmat) domain ignores congestion at intermodal yards. We attempt to close that gap by proposing a bi-objective optimization framework for managing hazmat freight that not only considers congestion at intermodal yards, but also determines the appropriate equipment capacity. The proposed framework, i.e., a...

The railroad industry is being challenged by recent state regulations requiring the disclosure of routing information of trains carrying hazardous materials (hazmat) to the general public. While there is a need to know, the dissemination of such information is contrary to both industry practice and Federal Railroad Administration (FRA) rules. The conundrum is that there needs to be disclosure t...

We consider the problem of the transportation of hazardous materials on a road network (Hazardous Materials Transportation Problem). We can figure it this way: there are N trucks which have to transport some kind of dangerous material from one or many production points to one or many garbage dumps and we have to select a set of paths which is optimal from the point of view of risk, cost and equ...

Shipping hazardous material (hazmat) places the public at risk. People who live or work near roads commonly traveled by hazmat trucks endure the greatest risk. Careful selection of roads used for a hazmat shipment can reduce the population at risk. On the other hand, a least time route will often consist of urban interstate, thus placing many people in harms way. Route selection is therefore th...