Models and Algorithms for Supporting Strategic Tactical and Operational Decisions for Station Based Electric Vehicle Sharing Systems
Electric vehicle sharing systems have been introduced in a number of cities around the world as a means of increasing mobility, reducing congestion, and pollution.
Electric vehicle sharing systems can offer one or two way services. In the case of two-way operation the vehicles should be returned to the stations from which they were rented, while in the one-way case the vehicles can be dropped-off at any station. The case of the one-way operations presents more flexibility to its users while at the same time introduces a number of operational complexities due to the geographical imbalance of demand and supply, and the accumulation/shortage of vehicles at different stations.The planning and operation of one-way station based electric car sharing systems involves a host of strongly interacting strategic, tactical, and operational decisions.
Currently available models address only part of the problem ignoring interactions among the different decision levels. The objective of this project is to develop integrated models which will consider simultaneously strategic, tactical, and operational decisions in order to optimally determine the: 1) number, location, and size of stations, 2) fleet size required to serve the expected demand at a given level of service, and 3) vehicle relocation strategies.
For further information contact Konstantinos Zografos.