ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario-Reference-Cited by-同舟云学术

ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario

Published:2022-09 Issue:9 Volume:23 Page:16048-16058
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Kumar Neetesh¹^ORCID,Chaudhry Rashmi²^ORCID,Kaiwartya Omprakash³^ORCID,Kumar Neeraj⁴^ORCID

Affiliation:

1. Department of Computer Science & Engineering, Indian Institute of Technology Roorkee (IIT-R), Roorkee, India

2. Department of Computer Engineering, Netaji Subhash University of Technology, Delhi, India

3. School of Science and Technology, Nottingham Trent University, Nottingham, U.K

4. CSED, Thapar Institute of Engineering and Technology, Punjab, Patiala, India

Funder

IIT Roorke, India, under FIG Project ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09762651.pdf?arnumber=9762651

Reference34 articles.

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2. Optimization of Charging Stops for Fleet of Electric Vehicles: A Genetic Approach

3. Observations on using genetic algorithms for dynamic load-balancing

4. Introduction to Fuzzy Logic using MATLAB

5. Electric vehicle charging scheduling by an enhanced artificial bee colony algorithm;g;Energies,2018

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