Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles

摘要: This paper studies the joint fleet sizing and charging system planning problem for a company operating of autonomous electric vehicles (AEVs) passenger goods transportation. Most relevant published papers focus on intracity scenarios adopt heuristic approaches, e.g., agent based simulation, which do not guarantee optimality. In contrast, we propose mixed integer linear programming model intercity scenarios. incorporates comprehensive considerations 1) limited AEV driving range; 2) optimal routing relocating operations; 3) time-varying origin-destination transport demands; 4) differentiated operation cost structure The proposed can be computational expensive when scale transportation network is large. We then exploit this program to expedite its solution. Numerical experiments are conducted validate method. Our experimental results show that AEVs in have remarkable differences. also demonstrate intelligent operations, vehicle parameters, power, battery capacity, speed etc., significantly affect economic efficiency an fleet.