Paper Info
Title
On Scalability of Electric Car Sharing in Smart Cities
Abstract
In this paper we analyze which are the design options that would impact a free floating electric car sharing system performance and costs, studying how the system would scale with an increase in the intensity of the demand. We consider the case study of the city of Turin, for which we leverage hundred of thousands of actual rentals from a (combustion-based) car sharing system to derive an accurate demand model. Armed with this, we consider the transition to electric cars and the need to deploy a charging station infrastructure. Using a realistic simulator, we present the impact of system design options, like the number of charging poles, their allotment, and the number of cars. We first consider performance indicators, like fraction of satisfied demand and working hours system has to spend to bring to charge vehicles. Then we map these figures into revenues and costs, projecting economical indicators. At last, we investigate the scalability of the whole system, i.e., how performance and costs scale when the demand increases. Our results show that concentrating the charging stations in key places is instrumental to optimize car distribution in the city to better intercept the demand. Considering system scalability, the charging infrastructure must intuitively grow proportionally with the mobility demand. Interestingly instead, the fleet size can grow much slower, showing some nice economy of scale gains.
Year
DOI
Venue
2020
10.1109/ISC251055.2020.9239086
2020 IEEE International Smart Cities Conference (ISC2)
Keywords
DocType
ISSN
car sharing,scalability,charging infrastructure
Conference
2687-8852
ISBN
Citations 
PageRank 
978-1-7281-8295-7
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
Michelangelo Barulli100.34
Alessandro Ciociola212.17
Michele Cocca300.34
Luca Vassio43313.82
Danilo Giordano55811.97
Marco Mellia62748204.65