An optimization framework for the development of efficient one-way car-sharing systems

摘要: Electric vehicle-sharing systems have been introduced to a number of cities as means increasing mobility, reducing congestion, and pollution. can offer one or two-way services. One-way provide more flexibility users since they be dropped-off at any station. However, their modeling involves complexities arising from the need relocate vehicles accumulated certain stations. The planning one-way electric host strongly interacting decisions regarding number, size location stations, well fleet size. In this paper we develop solve multi-objective MILP model for taking into account vehicle relocation charging requirements. For real world problems problem becomes intractable due extremely large variables. order cope with introduce an aggregate using concept virtual hub. This transformation allows solution branch-and-bound approach. proposed approach generates efficient frontier decision makers examine trade-off between operator’s users’ benefits. capabilities are demonstrated on scale available data Nice, France. Extensive sensitivity analysis was performed by varying demand, station accessibility distance subsidy levels. results useful insights allow quantify