Integrated Charging Facility and Fleet Planning for Shared Mobility-on-Demand System

Electric vehicle (EV) based shared Mobility-on-Demand (MoD) system plays an important role in energy saving, environmental protection and high quality of people travel. In this paper, a two-stage programming model is presented to determine the optimal size for the charging facility and fleet. The first stage of the programming model is planning the optimal size by minimizing the investment and operation cost of the city planners. Moreover, the second stage of the programming model optimizes charging scheduling, order dispatching, and vehicle rebalancing by minimizing the cost of MoD system and power system. The second stage problem is formulated as a linear programming (LP) model and solved by Gurobi solver. The first stage solves planning variables and the operation variables are determined by the second stage. Consequently, a simple iteration optimization method is applied since part of the parameters in the second stage are obtained from the planning variables. The numerical simulation experiments in case study are performed to demonstrate the effectiveness of this proposed integrated planning model.