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

Mehmet Şükrü Kuran; Aline Carneiro Viana; Luigi Iannone; Daniel Kofman; Gregory Mermoud; Jean Philippe Vasseur

doi:10.1109/WiMOB.2014.6962157

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

Mehmet Şükrü Kuran
, Aline Carneiro Viana
, Luigi Iannone
, Daniel Kofman
, Gregory Mermoud
, Jean Philippe Vasseur

Telecom Paris
INRIA Institut National de Recherche en Informatique et en Automatique
Cisco Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014
Publisher	IEEE Computer Society
Pages	106-113
Number of pages	8
ISBN (Electronic)	9781479950416
DOIs	https://doi.org/10.1109/WiMOB.2014.6962157
Publication status	Published - 18 Nov 2014
Event	2014 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014 - Larnaca, Cyprus Duration: 8 Oct 2014 → 10 Oct 2014

Publication series

Name	International Conference on Wireless and Mobile Computing, Networking and Communications
ISSN (Print)	2161-9646
ISSN (Electronic)	2161-9654

Conference

Conference	2014 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014
Country/Territory	Cyprus
City	Larnaca
Period	8/10/14 → 10/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/WiMOB.2014.6962157

Cite this

Kuran, M. Ş., Viana, A. C., Iannone, L., Kofman, D., Mermoud, G., & Vasseur, J. P. (2014). Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling. In 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014 (pp. 106-113). Article 6962157 (International Conference on Wireless and Mobile Computing, Networking and Communications). IEEE Computer Society. https://doi.org/10.1109/WiMOB.2014.6962157

Kuran, Mehmet Şükrü ; Viana, Aline Carneiro ; Iannone, Luigi et al. / Smart cities recharged : Improving electrical vehicles recharging by routine-aware scheduling. 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014. IEEE Computer Society, 2014. pp. 106-113 (International Conference on Wireless and Mobile Computing, Networking and Communications).

@inproceedings{95d91d0a02b04fdfb5a3e4f77d3e75a2,

title = "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.",

author = "Kuran, \{Mehmet {\c S}{\"u}kr{\"u}\} and Viana, \{Aline Carneiro\} and Luigi Iannone and Daniel Kofman and Gregory Mermoud and Vasseur, \{Jean Philippe\}",

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doi = "10.1109/WiMOB.2014.6962157",

language = "English",

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Kuran, MŞ, Viana, AC, Iannone, L, Kofman, D, Mermoud, G & Vasseur, JP 2014, Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling. in 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014., 6962157, International Conference on Wireless and Mobile Computing, Networking and Communications, IEEE Computer Society, pp. 106-113, 2014 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014, Larnaca, Cyprus, 8/10/14. https://doi.org/10.1109/WiMOB.2014.6962157

Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling. / Kuran, Mehmet Şükrü; Viana, Aline Carneiro; Iannone, Luigi et al.
2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014. IEEE Computer Society, 2014. p. 106-113 6962157 (International Conference on Wireless and Mobile Computing, Networking and Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kuran, Mehmet Şükrü

AU - Viana, Aline Carneiro

AU - Iannone, Luigi

AU - Kofman, Daniel

AU - Mermoud, Gregory

AU - Vasseur, Jean Philippe

PY - 2014/11/18

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N2 - 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.

AB - 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.

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Kuran MŞ, Viana AC, Iannone L, Kofman D, Mermoud G, Vasseur JP. Smart cities recharged: Improving electrical vehicles recharging by routine-aware scheduling. In 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2014. IEEE Computer Society. 2014. p. 106-113. 6962157. (International Conference on Wireless and Mobile Computing, Networking and Communications). doi: 10.1109/WiMOB.2014.6962157

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

Abstract

Publication series

Conference

UN SDGs

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