Modelling and Solving Vehicle Routing and Scheduling Problems with Environmental and Societal Considerations
This project is motivated from the need to address environmental and societal issues associated with Heavy Goods Vehicles (HGV) transportation and distribution operations.
The routing and scheduling of HGV involves business related objectives such as minimization of cost and maximization of the level of service offered to customers. However, the continuous increase of HGV (transporting conventional or hazardous materials) traffic has raised serious concerns regarding their potential environmental (e.g. pollution) and societal (e.g. risk) impacts. As a consequence the next generation of HGV routing and scheduling models should consider explicitly environmental and societal criteria.
The objective of this project is to formulate and solve HGV Routing and Scheduling Problems addressing the above concerns. The contribution of this project relates to the development of: i) novel mathematical models considering multiple criteria, time dependent transportation network link attributes, and load dependent risk and emissions functions, ii) novel heuristic algorithms for solving the class of Vehicle Routing and Scheduling Problems sharing the above characteristics, iii) travel speed functions realistically representing traffic conditions of congested networks, iv) time and load dependent risk and emissions functions.
For further information contact Konstantinos Zografos.