Open Access
| Issue |
E3S Web Conf.
Volume 658, 2025
Third International Conference of Applied Industrial Engineering: Intelligent Models and Data Engineering (CIIA 2025)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 9 | |
| Section | Sustainable Production | |
| DOI | https://doi.org/10.1051/e3sconf/202565802005 | |
| Published online | 13 November 2025 | |
- Y. Gao and J. Zhu, “Characteristics, Impacts and Trends of Urban Transportation,” 2022. Available: http://dx.doi.org/10.3390/encyclopedia2020078 [Google Scholar]
- T. Letnik, K. Hanžič, G. Luppino, and M. Mencinger, “Impact of Logistics Trends on Freight Transport Development in Urban Areas,” 2022. Available: http://dx.doi.org/10.3390/su142416551 [Google Scholar]
- A. R. Rakhmatullina and E. V. Korobeynikova, “Trends in Urban Public Transport,” 2020. Available: http://dx.doi.org/10.12731/2227-930X-2020-3-123-131 [Google Scholar]
- N. Smith, “Emerging Trends and Innovations in Urban Mobility and Transportation Engineering,” 2024. Available: http://dx.doi.org/10.31219/osf.io/645t9 [Google Scholar]
- D. M. El-Sherif, “Urban mobility systems components,” 2021. Available: http://dx.doi.org/10.1016/B978-0-12-816816-5.00004-8 [Google Scholar]
- B. Olga Yurievna and B. Viacheslav Sergeevich, “Urban Transport System Improvement by the Main Trends of Mobility Introduction in the Mass Events Conditions,” 2022. Available: http://dx.doi.org/10.33979/2073-7432-2022-1(79)-4-111-118 [Google Scholar]
- G. Yannis and A. Chaziris, “Transport System and Infrastructure,” 2022. Available: http://dx.doi.org/10.1016/j.trpro.2021.12.002 [Google Scholar]
- T. Kreydenko and J. Kovalchuk, “Urban Mobility: From Traditional to Intelligent Forms of Mobility,” 2021. Available: http://dx.doi.org/10.1007/978-3-030-63974-7_18 [Google Scholar]
- Dik, A., Omer, S., Boukhanouf, R., “Electric Vehicles: V2G for Rapid, Safe, and Green EV Penetration,” 2022. Available: http://dx.doi.org/10.3390/en15030803 [Google Scholar]
- Zhou, M., Long, P., Kong, N., Zhao, L., Jia, F., Campy, K.S., “Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China,” 2021. Available: http://dx.doi.org/10.1016/J.TRA.2021.01.001 [Google Scholar]
- Becker, H., et al., “Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide,” 2020. Available: http://dx.doi.org/10.1016/J.TRA.2020.04.021 [Google Scholar]
- Ma, K., Hu, X., Yue, Z., Wang, Y., Yang, J., Zhao, H., Liu, Z., “Voltage Regulation With Electric Taxi Based on Dynamic Game Strategy,” 2022.. Available: http://dx.doi.org/10.1109/tvt.2022.3141954 [Google Scholar]
- E. Wang et al., “Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning,” 2022. Available: http://dx.doi.org/10.1109/tmc.2020.3022173 [Google Scholar]
- S. S. Bhattacharyya and S. Thakre, “Exploring the factors influencing electric vehicle adoption: an empirical investigation in the emerging economy context of India,” 2020. Available: http://dx.doi.org/10.1108/FS-04-2020-0037 [Google Scholar]
- X. Tang, M. Li, X. Lin, and F. He, “Online operations of automated electric taxi fleets: An advisor-student reinforcement learning framework,” 2020. Available: http://dx.doi.org/10.1016/J.TRC.2020.102844 [Google Scholar]
- M. Tsavachidis and Y. L. Petit, “Re-shaping urban mobility – Key to Europe´s green transition,” 2022. Available: http://dx.doi.org/10.1016/j.urbmob.2022.100014 [Google Scholar]
- Y. Tian et al., “Promises and Challenges of Next-Generation ’Beyond Li-ion’ Batteries for Electric Vehicles and Grid Decarbonization,” 2020. Available: http://dx.doi.org/10.1021/ACS.CHEMREV.0C00767 [Google Scholar]
- Y. Chen et al., “Advances in Lithium–Sulfur Batteries: From Academic Research to Commercial Viability,” 2021. Available: http://dx.doi.org/10.1002/ADMA.202003666 [Google Scholar]
- L. Lin et al., “Epitaxial Induced Plating Current-Collector Lasting Lifespan of Anode-Free Lithium Metal Battery,” 2021. Available: http://dx.doi.org/10.1002/AENM.202003709 [Google Scholar]
- N. Muralidharan et al., “Next-Generation Cobalt-Free Cathodes – A Prospective Solution to the Battery Industry’s Cobalt Problem,” 2022. Available: http://dx.doi.org/10.1002/aenm.202103050 [Google Scholar]
- Y. Wu et al., “Recent advances in ferromagnetic metal sulfides and selenides as anodes for sodium-and potassium-ion batteries,” 2021. Available: http://dx.doi.org/10.1039/D1TA00831E [Google Scholar]
- H. Gao and B. M. Gallant, “Advances in the chemistry and applications of alkali-metal–gas batteries,” 2020. Available: http://dx.doi.org/10.1038/S41570-020-00224-7 [Google Scholar]
- Y. Li, M. Han, Z. Yang, and G. Li, “Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach,” 2021. Available: http://dx.doi.org/10.1109/TSTE.2021.3090463 [Google Scholar]
- A. Mahesh, B. Chokkalingam, and L. Mihet-Popa, “Inductive Wireless Power Transfer Charging for Electric Vehicles–A Review,” 2021. Available: http://dx.doi.org/10.1109/ACCESS.2021.3116678 [Google Scholar]
- L. Zhang, C. Sun, G. Cai, and L. H. Koh, “Charging and discharging optimization strategy for electric vehicles considering elasticity demand response,” 2023. Available: http://dx.doi.org/10.1016/j.etran.2023.100262 [Google Scholar]
- T. U. Solanke et al., “A review of strategic charging–discharging control of grid-connected electric vehicles,” 2020. Available: http://dx.doi.org/10.1016/J.EST.2020.101193 [Google Scholar]
- M. R. Khalid et al., “A Comprehensive Review on Structural Topologies, Power Levels, Energy Storage Systems, and Standards for Electric Vehicle Charging Stations and Their Impacts on Grid,” 2021. Available: http://dx.doi.org/10.1109/ACCESS.2021.3112189 [Google Scholar]
- S. Rivera et al., “Electric Vehicle Charging Infrastructure: From Grid to Battery,” 2021. Available: http://dx.doi.org/10.1109/MIE.2020.3039039 [Google Scholar]
- M. Brenna, F. Foiadelli, C. Leone, and M. Longo, “Electric Vehicles Charging Technology Review and Optimal Size Estimation,” 2020. Available: http://dx.doi.org/10.1007/S42835-020-00547-X [Google Scholar]
- R. Fachrizal et al., “Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review,” 2020. Available: http://dx.doi.org/10.1016/J.ETRAN.2020.100056 [Google Scholar]
- N. I. Nimalsiri et al., “A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid,” 2020. Available: http://dx.doi.org/10.1109/TITS.2019.2943620 [Google Scholar]
- M. Nour, J. P. Chaves-Ávila, G. Magdy, and Á. Sánchez-Miralles, “Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems,” 2020. Available: http://dx.doi.org/10.3390/EN13184675 [Google Scholar]
- M. Kchaou-Boujelben, “Charging station location problem: A comprehensive review on models and solution approaches,” 2021. Available: http://dx.doi.org/10.1016/J.TRC.2021.103376 [Google Scholar]
- M. Kavianipour et al., “Electric vehicle fast charging infrastructure planning in urban networks considering daily travel and charging behavior,” 2021. Available: http://dx.doi.org/10.1016/J.TRD.2021.102769 [Google Scholar]
- D. Wang, F. Locment, and M. Sechilariu, “Modelling, Simulation, and Management Strategy of an Electric Vehicle Charging Station Based on a DC Microgrid,” 2020. Available: http://dx.doi.org/10.3390/APP10062053 [Google Scholar]
- S. S. Fazeli et al., “Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities,” 2021. Available: http://dx.doi.org/10.1109/TITS.2020.2979363 [Google Scholar]
- I. Ullah et al., “Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction,” 2023. Available: http://dx.doi.org/10.1016/j.tbs.2022.11.006 [Google Scholar]
- A. Froger, O. Jabali, J. E. Mendoza, and G. Laporte, “The Electric Vehicle Routing Problem with Capacitated Charging Stations,” 2022. Available: http://dx.doi.org/10.1287/trsc.2021.1111 [Google Scholar]
- K. M. Tan et al., “Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration,” 2021. Available: http://dx.doi.org/10.1016/J.EST.2021.102591 [Google Scholar]
- S. S. Ali and B. J. Choi, “State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review,” 2020. Available: http://dx.doi.org/10.3390/ELECTRONICS9061030 [Google Scholar]
- S. S. Ravi and M. Aziz, “Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives,” 2022. Available: http://dx.doi.org/10.3390/en15020589 [Google Scholar]
- R. Shi et al., “Integration of renewable energy sources and electric vehicles in V2G network with adjustable robust optimization,” 2020. Available: http://dx.doi.org/10.1016/J.RENENE.2020.02.027 [Google Scholar]
- O. Sadeghian et al., “A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges,” 2022. Available: http://dx.doi.org/10.1016/j.est.2022.105241 [Google Scholar]
- A. Hasankhani and S. M. Hakimi, “Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market,” 2021. Available: http://dx.doi.org/10.1016/J.ENERGY.2020.119668 [Google Scholar]
- J. K. Szinai, C. J. R. Sheppard, N. Abhyankar, and A. R. Gopal, “Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management,” 2020. Available: http://dx.doi.org/10.1016/J.ENPOL.2019.111051 [Google Scholar]
- A. Hasankhani et al., “Blockchain technology in the future smart grids: A comprehensive review and frameworks,” 2021. Available: http://dx.doi.org/10.1016/J.IJEPES.2021.106811 [Google Scholar]
- A. H. Yánez et al., “A brief review of the techniques used to locate electric bus charging stations,” in Proc. 2024 IEEE Eighth Ecuador Technical Chapters Meeting (ETCM), 2024, pp. 1–6. [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.

