Open Access
| Issue |
EPJ Web Conf.
Volume 375, 2026
Recent Technologies and Innovations in Electronics and Photonics (RTEP-2026)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Emerging Interdisciplinary Research and Applications | |
| DOI | https://doi.org/10.1051/epjconf/202637503001 | |
| Published online | 26 June 2026 | |
- R. Zaino, V. Ahmed, A. M. Alhammadi, and M. Alghoush, Electric Vehicle Adoption: A comprehensive systematic review of technological, environmental, organizational and policy impacts, World Electric Vehicle Journal 15, 375 (2024). https://doi.org/10.3390/wevj15080375 [Google Scholar]
- J.-F. Mercure, A. Lam, J. E. Buxton, C. A. Boulton, A. Akther, and T. M. Lenton, Evidence of a cascading positive tipping point towards electric vehicles, Nature Communications 17, 240 (2025). https://doi.org/10.1038/s41467-025-66945-9 [Google Scholar]
- Y. Wang and F. Witlox, Global trends in electric vehicle adoption and the impact of environmental awareness, user attributes, and barriers, Energy Reports 13, 1125 (2025). https://doi.org/10.1016/i.egyr.2024.12.054 [Google Scholar]
- E. Higueras-Castillo, V. Singh, V. Singh, and F. Liébana-Cabanillas, Factors affecting adoption intention of electric vehicle: a cross-cultural study, Environment Development and Sustainability 26, 29293 (2023). https://doi.org/10.1007/s10668-023-03865-y [Google Scholar]
- M. Coffman, P. Bernstein, and S. Wee, Electric vehicles revisited: a review of factors that affect adoption, Transport Reviews 37, 79 (2016). https://doi.org/10.1080/01441647.2016.1217282 [Google Scholar]
- W. G. Kazaura, Electric vehicle adoption in urban transport: Barriers, drivers, and integration implications in Arusha City, Tanzania, Transportation Research Record Journal of the Transportation Research Board (2026). https://doi.org/10.1177/03611981251414123 [Google Scholar]
- D. K. Shetty, S. Shetty, L. R. Rodrigues, N. Naik, C. B. Maddodi, N. Malarout, and N. Sooriyaperakasam, Barriers to widespread adoption of plug-in electric vehicles in emerging Asian markets: An analysis of consumer behavioral attitudes and perceptions, Cogent Engineering 7, (2020). https://doi.org/10.1080/23311916.2020.1796198 [Google Scholar]
- J. Dcosta, A. R. H. Graul, and S. B. Hasnat, Understanding Consumer Adoption of Light-Duty Electric Vehicles: An Interdisciplinary Literature review, Transportation Research Record Journal of the Transportation Research Board 2678, 234 (2024). https://doi.org/10.1177/03611981241231962 [Google Scholar]
- S. A. Hasib, M. M. Gulzar, A. Shakoor, S. Habib, and A. F. Murtaza, Optimizing electric vehicle driving range prediction using deep learning: A deep neural network (DNN) approach, Results in Engineering 24, 103630 (2024). https://doi.org/10.1016/j.rineng.2024.103630 [Google Scholar]
- I. Hussain, K. B. Ching, C. Uttraphan, K. G. Tay, A. Noor, and S. A. Memon, Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches, Scientific Reports 15, 29065 (2025). https://doi.org/10.1038/s41598-025-14129-2 [Google Scholar]
- H. Ren, Optimization method of electric vehicle energy system based on machine learning, Frontiers in Mechanical Engineering 11, (2025). https://doi.org/10.3389/fmech.2025.1597558 [Google Scholar]
- D. Sadeghi, N. Amiri, M. Marzband, A. Abusorrah, and K. Sedraoui, Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles, International Journal of Energy Research 46, 8288 (2022). https://doi.org/10.1002/er.7729 [Google Scholar]
- D. Mahato, V. K. Aharwal, and A. Sinha, Multi-objective optimisation model and hybrid optimization algorithm for Electric Vehicle Charge Scheduling, Journal of Experimental & Theoretical Artificial Intelligence 36, 1645 (2023). https://doi.org/10.1080/0952813X.2023.2165719 [Google Scholar]
- K. Karthick, S. Ravivarman, and R. Priyanka, Optimizing electric vehicle battery life: A machine learning approach for sustainable transportation, World Electric Vehicle Journal 15, 60 (2024). https://doi.org/10.3390/wevj15020060 [CrossRef] [Google Scholar]
- M. Karthikeyan, N. Anirudh, N. Krishnan S C. Columbus C, and K. Aravind C, Optimizing battery health monitoring in electric vehicles using interpretable CART-GX model, Results in Engineering 27, 106043 (2025).https://doi.org/10.1016/j.rineng.2025.106043 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.