This paper addresses the problem of determining the optimal fleet size of electric car sharing systems. We model the system as a Discrete Event System in a closed queueing network framework considering the specific requirements of the electric vehicle utilization. Hence, we describe the asymptotic behavior of the vehicles and develop an optimization problem for maximizing the system revenue by determining the optimal fleet size. The large-scale of real-world systems results in computational difficulties in obtaining the exact solution, and so an approximate formulation is provided. Some numerical results illustrate and validate the solution method
Fleet Sizing for Electric Car Sharing System via Closed Queueing Networks / Fanti, M. P.; Mangini, A. M.; Pedroncelli, G.; Ukovich, W.. - STAMPA. - (2014), pp. 6974098.1324-6974098.1329. (Intervento presentato al convegno IEEE International Conference on Systems, Man and Cybernetics, SMC 2014 tenutosi a San Diego, CA nel October 5-8, 2014) [10.1109/SMC.2014.6974098].
Fleet Sizing for Electric Car Sharing System via Closed Queueing Networks
Fanti, M. P.;Mangini, A. M.;Pedroncelli, G.;
2014-01-01
Abstract
This paper addresses the problem of determining the optimal fleet size of electric car sharing systems. We model the system as a Discrete Event System in a closed queueing network framework considering the specific requirements of the electric vehicle utilization. Hence, we describe the asymptotic behavior of the vehicles and develop an optimization problem for maximizing the system revenue by determining the optimal fleet size. The large-scale of real-world systems results in computational difficulties in obtaining the exact solution, and so an approximate formulation is provided. Some numerical results illustrate and validate the solution methodI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
