Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway

Subhaditya Shom; Fares Al Juheshi; Ala'A Rayyan; Mahmoud Alahmad; Mohammad Abdul-Hafez; Khaled Shuaib

doi:10.1109/EIT.2017.8053329

Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway

Subhaditya Shom, Fares Al Juheshi, Ala'A Rayyan, Mahmoud Alahmad, Mohammad Abdul-Hafez, Khaled Shuaib

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

5 Citations (Scopus)

Abstract

Determining the location for electric vehicles charging stations within a particular area of interest can be a key factor for a successful deployment. In this paper, an algorithm is developed which calculates the total number of charging stations for a particular model of electric vehicle in an Interstate and US-Highway in between two point cities. The algorithm takes into account design factors such as range anxiety, rated mileage of the electric vehicle, population of the cities near the Interstate and US-Highway, and distance between start-point and end-point. Two case studies have been shown for the state of Nebraska, USA with two different models of electric vehicles, to validate the algorithm.

Original language	English
Title of host publication	2017 IEEE International Conference on Electro Information Technology, EIT 2017
Publisher	IEEE Computer Society
Pages	50-55
Number of pages	6
ISBN (Electronic)	9781509047673
DOIs	https://doi.org/10.1109/EIT.2017.8053329
Publication status	Published - Sept 27 2017
Event	2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States Duration: May 14 2017 → May 17 2017

Publication series

Name	IEEE International Conference on Electro Information Technology
ISSN (Print)	2154-0357
ISSN (Electronic)	2154-0373

Other

Other	2017 IEEE International Conference on Electro Information Technology, EIT 2017
Country/Territory	United States
City	Lincoln
Period	5/14/17 → 5/17/17

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/EIT.2017.8053329

Cite this

Shom, S., Juheshi, F. A., Rayyan, AA., Alahmad, M., Abdul-Hafez, M., & Shuaib, K. (2017). Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 50-55). Article 8053329 (IEEE International Conference on Electro Information Technology). IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053329

Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway. / Shom, Subhaditya; Juheshi, Fares Al; Rayyan, Ala'A et al.
2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 50-55 8053329 (IEEE International Conference on Electro Information Technology).

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

Shom, S, Juheshi, FA, Rayyan, AA, Alahmad, M, Abdul-Hafez, M & Shuaib, K 2017, Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway. in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053329, IEEE International Conference on Electro Information Technology, IEEE Computer Society, pp. 50-55, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053329

Shom S, Juheshi FA, Rayyan AA, Alahmad M, Abdul-Hafez M , Shuaib K. Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 50-55. 8053329. (IEEE International Conference on Electro Information Technology). doi: 10.1109/EIT.2017.8053329

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Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway

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