The objective of this paper is to addresses the Optimal Transportation Fleet Management Problem (OTFMP) in a carsharing context, in which the service operator must manage fleets of vehicles and determine the optimal vehicle allocation in both time and space in order to maximize profits. A multistage stochastic optimization model which can explicitly take into account demand uncertainties is formulated. A Monte Carlo sampling based stochastic optimization technique is used to solve the OTFMP. Numerical results are described and insights into the OTFMP are also presented.
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