Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling - Archive ouverte HAL Access content directly
Conference Papers Year :

Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling

Abstract

In this paper, we propose a two-layered parking lot management system for charging scheduling of electric vehicles (EVs) considering a realistic vehicular mobility pattern. EVs are categorized in two groups based on their mobility patterns: Regular EVs and Irregular EVs. We use the data from an vehicular mobility trace collected from the Canton of Zurich for the regular EVs and a probabilistic pattern built on top of this Zurich trace aiming at modeling the behavior of irregular EVs. To the extend of our knowledge, this is the first EV charging scheduling study in the literature that utilizes a big-scale realistic vehicular mobility trace. The performance of the proposed system is compared with well-known routine unaware scheduling mechanisms (e.g., First Come First Serve) with regard to maximizing the parking lot revenue. Our results show that, our proposed system outperforms well-known routine unaware scheduling mechanisms and it is evident that real environments would benefit from using such parking lot management systems in Smart Cities.
Not file

Dates and versions

hal-01138001 , version 1 (31-03-2015)

Identifiers

Cite

M. Sukru Kuran, Aline Carneiro Viana, Luigi Iannone, Daniel Kofman, Gregory Mermoud, et al.. Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling. 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014, Oct 2014, Larnaca, Cyprus. pp.106 - 113, ⟨10.1109/WiMOB.2014.6962157⟩. ⟨hal-01138001⟩
144 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More