Electric bus arrival and charging station placement assessment using machine learning techniques-Reference-Cited by-同舟云学术

Electric bus arrival and charging station placement assessment using machine learning techniques

Published:2024-03-27 Issue:1 Volume:17 Page:1-17
ISSN:1939-7038
Container-title:International Journal of Sustainable Engineering
language:en
Short-container-title:International Journal of Sustainable Engineering

Author:

Reda Habtu¹,Mohapatra Sudhir Kumar²,Das Tapan Kumar³,Dash Santanu Kumar⁴

Affiliation:

1. Department of Software Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

2. Faculty of Emerging Technologies, Sri Sri University, Cuttack, India

3. School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India

4. TIFAC-CORE, Vellore Institute of Technology, Vellore, India

Funder

No funding

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19397038.2024.2333563

Reference39 articles.

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3. Introduction to Intelligent Transportation Systems;Alam M.;Intelligent Transportation Systems: Dependable Vehicular Communications for Improved Road Safety,2016

4. Predicting Travel Times of Bus Transit in Washington, DC Using Artificial Neural Networks;Arhin S.;Civil Engineering Journal,2020

5. Regularity Analysis on Bus Networks and Route Directions by Automatic Vehicle Location Raw Data;Barabino B.;IET Intelligent Transport Systems,2013