Title :
Fleet sizing for electric car sharing system via closed queueing networks
Author :
Fanti, Maria Pia ; Mangini, Agostino Marcello ; Pedroncelli, Giovanni ; Ukovich, Walter
Author_Institution :
Dept. of Electr. & Inf. Eng., Politec. di Bari, Bari, Italy
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 method.
Keywords :
approximation theory; automobiles; discrete time systems; electric vehicles; financial management; optimisation; queueing theory; transportation; asymptotic vehicles behavior; closed queueing network framework; discrete event system; electric car sharing system; electric vehicle utilization; fleet sizing; optimal fleet size determining problem; optimization problem; real-world systems; system revenue maximization; Approximation methods; Electric vehicles; Optimization; Routing; Servers; Time factors; Car sharing; Optimization; Queuing Networks;
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/SMC.2014.6974098