Survivable transportation network design for electric vehicles

Subhasis Thakur; Giovanni De Gasperis

doi:10.1109/EEEIC.2016.7555848

Survivable transportation network design for electric vehicles

Subhasis Thakur
, Giovanni De Gasperis

University of L'Aquila

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

1 Citation (Scopus)

Abstract

The range of an Electric Vehicle (EV) depends on its access to the battery charging stations. Such dependency may restrict the EV's range if some of the charging stations are not available due to lack of power or any other fault. To ensure uninterrupted access to the charging stations, in this paper we propose to maintain a limited number of backup stations which become operational once some of the existing stations get faulty. In this paper we study the optimal placement of the backup stations which can guarantee the access to the remaining operational charging stations. In this paper we propose algorithm for this problem and evaluate it with transportation network dataset.

Original language	English
Title of host publication	EEEIC 2016 - International Conference on Environment and Electrical Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023196
DOIs	https://doi.org/10.1109/EEEIC.2016.7555848
Publication status	Published - 29 Aug 2016
Externally published	Yes
Event	16th International Conference on Environment and Electrical Engineering, EEEIC 2016 - Florence, Italy Duration: 7 Jun 2016 → 10 Jun 2016

Publication series

Name	EEEIC 2016 - International Conference on Environment and Electrical Engineering

Conference

Conference	16th International Conference on Environment and Electrical Engineering, EEEIC 2016
Country/Territory	Italy
City	Florence
Period	7/06/16 → 10/06/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/EEEIC.2016.7555848

Cite this

Thakur, S., & De Gasperis, G. (2016). Survivable transportation network design for electric vehicles. In EEEIC 2016 - International Conference on Environment and Electrical Engineering Article 7555848 (EEEIC 2016 - International Conference on Environment and Electrical Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2016.7555848

@inproceedings{08b25bf80c854cd6b1f0731c6d2be9d8,

title = "Survivable transportation network design for electric vehicles",

abstract = "The range of an Electric Vehicle (EV) depends on its access to the battery charging stations. Such dependency may restrict the EV's range if some of the charging stations are not available due to lack of power or any other fault. To ensure uninterrupted access to the charging stations, in this paper we propose to maintain a limited number of backup stations which become operational once some of the existing stations get faulty. In this paper we study the optimal placement of the backup stations which can guarantee the access to the remaining operational charging stations. In this paper we propose algorithm for this problem and evaluate it with transportation network dataset.",

author = "Subhasis Thakur and \{De Gasperis\}, Giovanni",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 ; Conference date: 07-06-2016 Through 10-06-2016",

year = "2016",

month = aug,

day = "29",

doi = "10.1109/EEEIC.2016.7555848",

language = "English",

series = "EEEIC 2016 - International Conference on Environment and Electrical Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "EEEIC 2016 - International Conference on Environment and Electrical Engineering",

}

Thakur, S & De Gasperis, G 2016, Survivable transportation network design for electric vehicles. in EEEIC 2016 - International Conference on Environment and Electrical Engineering., 7555848, EEEIC 2016 - International Conference on Environment and Electrical Engineering, Institute of Electrical and Electronics Engineers Inc., 16th International Conference on Environment and Electrical Engineering, EEEIC 2016, Florence, Italy, 7/06/16. https://doi.org/10.1109/EEEIC.2016.7555848

Survivable transportation network design for electric vehicles. / Thakur, Subhasis; De Gasperis, Giovanni.
EEEIC 2016 - International Conference on Environment and Electrical Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. 7555848 (EEEIC 2016 - International Conference on Environment and Electrical Engineering).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Survivable transportation network design for electric vehicles

AU - Thakur, Subhasis

AU - De Gasperis, Giovanni

PY - 2016/8/29

Y1 - 2016/8/29

N2 - The range of an Electric Vehicle (EV) depends on its access to the battery charging stations. Such dependency may restrict the EV's range if some of the charging stations are not available due to lack of power or any other fault. To ensure uninterrupted access to the charging stations, in this paper we propose to maintain a limited number of backup stations which become operational once some of the existing stations get faulty. In this paper we study the optimal placement of the backup stations which can guarantee the access to the remaining operational charging stations. In this paper we propose algorithm for this problem and evaluate it with transportation network dataset.

AB - The range of an Electric Vehicle (EV) depends on its access to the battery charging stations. Such dependency may restrict the EV's range if some of the charging stations are not available due to lack of power or any other fault. To ensure uninterrupted access to the charging stations, in this paper we propose to maintain a limited number of backup stations which become operational once some of the existing stations get faulty. In this paper we study the optimal placement of the backup stations which can guarantee the access to the remaining operational charging stations. In this paper we propose algorithm for this problem and evaluate it with transportation network dataset.

UR - https://www.scopus.com/pages/publications/84988329118

U2 - 10.1109/EEEIC.2016.7555848

DO - 10.1109/EEEIC.2016.7555848

M3 - Conference Publication

AN - SCOPUS:84988329118

T3 - EEEIC 2016 - International Conference on Environment and Electrical Engineering

BT - EEEIC 2016 - International Conference on Environment and Electrical Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th International Conference on Environment and Electrical Engineering, EEEIC 2016

Y2 - 7 June 2016 through 10 June 2016

ER -

Survivable transportation network design for electric vehicles

Abstract

Publication series

Conference

UN SDGs

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