Smart City Gnosys

Smart city article details

Title	Optimal Charging Station Selection For Electric Vehicle In A Smart City In Real-Time Traffic Environment With Minimum Total Trip Time
ID_Doc	40338
Authors	Kandar S.; Verma P.; Nath S.
Year	2025
Published	Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration
DOI	http://dx.doi.org/10.4018/979-8-3373-2382-4.ch011
Abstract	The global adoption of the Greenhouse Gas Protocol has prompted governments to provide incentives for electric vehicles (EVs). Advances in battery technology and fast-charging infrastructure are encouraging more people to switch to EVs. However, charging time remains a significant bottleneck, increasing waiting times at charging stations (CS) and extending total trip time. Optimal route selection for EVs is a key research area. This paper proposes selecting the optimal CS to minimize total trip time. EVs send charging requests to a centralized electric vehicle charging network (CEVCN), which chooses the optimum CS based on real-time traffic conditions with minimum total trip time. Simulations conducted in Kolkata, India, across five EV categories show that the average waiting time at CSs is much less than the total trip time. The findings also reveal that the average increased distance from source to destination, including the detour to the charging station, remains on an average consistent despite increased charging requests. © 2025, IGI Global Scientific Publishing. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
40419	0.892	Preetham C.G.; Kandar S.	Optimal Infrastructure Planning And Placement Of Charging Stations For Electric Vehicles: A Review	Transport and Logistics Planning and Optimization (2023)
22515	0.885	Ahmad A.; Khalid M.; Ullah Z.; Ahmad N.; Aljaidi M.; Malik F.A.; Manzoor U.	Electric Vehicle Charging Modes, Technologies And Applications Of Smart Charging	Energies, 15, 24 (2022)
42118	0.877	Goyal S.; Rawat N.; Charu	Placement Of Charging Stations And Technology In Electric Vehicles: A Review	Proceedings - 2024 5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024 (2024)
15619	0.876	Tang D.	Congestion Assessment In Electric Vehicle Fast Charging Stations For Coupled Traffic-Power Systems In Smart Cities	5th IEEE Conference on Energy Internet and Energy System Integration: Energy Internet for Carbon Neutrality, EI2 2021 (2021)
40368	0.871	Campaña M.; Inga E.	Optimal Deployment Of Fast-Charging Stations For Electric Vehicles Considering The Sizing Of The Electrical Distribution Network And Traffic Condition	Energy Reports, 9 (2023)
49243	0.871	Wu O.Q.; Yücel Ş.; Zhou Y.	Smart Charging Of Electric Vehicles: An Innovative Business Model For Utility Firms	Manufacturing and Service Operations Management, 24, 5 (2022)
22535	0.871	Ullah I.; Zheng J.; Jamal A.; Zahid M.; Almoshageh M.; Safdar M.	Electric Vehicles Charging Infrastructure Planning: A Review	International Journal of Green Energy, 21, 7 (2024)
40337	0.87	Alanazi F.; Alshammari T.O.; Azam A.	Optimal Charging Station Placement And Scheduling For Electric Vehicles In Smart Cities	Sustainability (Switzerland), 15, 22 (2023)
40792	0.867	Lau Y.-Y.; Wu Y.A.; Wong L.M.; Wu J.; Dong Z.; Yip C.; Lee S.W.; Chan J.K.Y.	Optimizing Electric Vehicle Charging Station Locations: A Study On A Small Outlying Island In Hong Kong	Urban Science, 8, 3 (2024)
53820	0.863	Abdel-Basset M.; Gamal A.; Hezam I.M.; Sallam K.M.	Sustainability Assessment Of Optimal Location Of Electric Vehicle Charge Stations: A Conceptual Framework For Green Energy Into Smart Cities	Environment, Development and Sustainability, 26, 5 (2024)