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Journals / Journal of Innovative Transportation / 2026 / Volume: 7 Issue: 1

Optimal deployment of wireless charging infrastructure at signalized intersections under consideration of power limits

İlyas Cihan Aksoy(Karamanoglu Mehmetbey University)0000-0002-4256-8222
Pages
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Publication Date
2026-07-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results justify the performance of the developed optimization model and clearly underscore the importance of incorporating the power limit into the problem formulation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Despite the increasing popularity of electric vehicles in recent years, their limited driving range necessitate frequent charging, thereby slowing their adoption speed worldwide.
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Key Findings & Data:The wireless charging strategy enables charging-while-driving, eliminating recharging downtime.
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Conclusion & Impact:Results justify the performance of the developed optimization model and clearly underscore the importance of incorporating the power limit into the problem formulation.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Wireless charging · electric vehicles · genetic algorithm

Abstract

Despite the increasing popularity of electric vehicles in recent years, their limited driving range necessitate frequent charging, thereby slowing their adoption speed worldwide. The wireless charging strategy enables charging-while-driving, eliminating recharging downtime. By exploiting waiting times in front of traffic lights at signalized intersections for recharging electric vehicles, this study addresses the optimal design of wireless charging infrastructure at a signalized intersection for the maximization of the total recharged energy throughout the entire analysis period and the minimization of the investment cost, under the consideration of the power limit. The developed optimization model based on the Genetic Algorithm is applied to a four-arm signalized intersection, which is generated hypothetically, for an analysis period of 18 hours. Results justify the performance of the developed optimization model and clearly underscore the importance of incorporating the power limit into the problem formulation.

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Cite This Article

Aksoy, İ. C. (2026). Optimal deployment of wireless charging infrastructure at signalized intersections under consideration of power limits. Journal of Innovative Transportation, Volume: 7 Issue: 1. https://doi.org/10.53635/jit.1898644

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References (20)

  1. Ngo, H., Kumar, A., & Mishra, S. (2020). Optimal positioning of dynamic wireless charging infrastructure in a road network for battery electric vehicles. Transportation Research Part D: Transport and Environment, 85, 102385. https://doi.org/10.1016/j.trd.2020.102385
  2. Tran, C. Q., Keyvan-Ekbatani, M., Ngoduy, D., & Watling, D. (2021). Stochasticity and environmental cost inclusion for electric vehicles fast-charging facility deployment. Transportation Research Part E: Logistics and Transportation Review, 154, 102460. https://doi.org/10.1016/j.tre.2021.102460
  3. Yang, L., Han, M., Fang, S., Wu, G., Sheng, H., Wei, H., & Zhao, X. (2022). Differentiated speed planning for connected and automated electric vehicles at signalized intersections considering dynamic wireless power transfer. Journal of Advanced Transportation, 2022(1), 5879568. https://doi.org/10.1155/2022/5879568
  4. Elmeligy, A. O., Elghanam, E., Hassan, M. S., Osman, A. H., Shalaby, A. A., & Shaaban, M. (2024). Optimal planning of dynamic wireless charging infrastructure for electric vehicles. IEEE Access, 12, 30661-30673. https://doi.org/10.1109/ACCESS.2024.3365636
  5. Mohamed, A. A., Meintz, A., & Zhu, L. (2019). System design and optimization of in-route wireless charging infrastructure for shared automated electric vehicles. IEEE Access, 7, 79968-79979. https://doi.org/10.1109/ACCESS.2019.2920232
  6. Li, M., Wu, X., Zhang, Z., Yu, G., Wang, Y., & Ma, W. (2019). A wireless charging facilities deployment problem considering optimal traffic delay and energy consumption on signalized arterial. IEEE Transactions on Intelligent Transportation Systems, 20(12), 4427-4438. https://doi.org/10.1109/TITS.2018.2885635
  7. Zhang, J., Tang, T. Q., Yan, Y., & Qu, X. (2021). Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging. Applied Energy, 282, 116215. https://doi.org/10.1016/j.apenergy.2020.116215
  8. Chen, Z., He, F., & Yin, Y. (2016). Optimal deployment of charging lanes for electric vehicles in transportation networks. Transportation Research Part B: Methodological, 91, 344-365. https://doi.org/10.1016/j.trb.2016.05.018
  9. Fuller, M. (2016). Wireless charging in California: Range, recharge, and vehicle electrification. Transportation Research Part C: Emerging Technologies, 67, 343-356. https://doi.org/10.1016/j.trc.2016.02.013
  10. He, J., Yang, H., Tang, T. Q., & Huang, H. J. (2020). Optimal deployment of wireless charging lanes considering their adverse effect on road capacity. Transportation Research Part C: Emerging Technologies, 111, 171-184. https://doi.org/10.1016/j.trc.2019.12.012
  11. Tran, C. Q., Keyvan-Ekbatani, M., Ngoduy, D., & Watling, D. (2022). Dynamic wireless charging lanes location model in urban networks considering route choices. Transportation Research Part C: Emerging Technologies, 139, 103652. https://doi.org/10.1016/j.trc.2022.103652
  12. Mohrehkesh, S., & Nadeem, T. (2011). Toward a wireless charging for battery electric vehicles at traffic intersections. In 2011 14th international IEEE conference on intelligent transportation systems (ITSC) (pp. 113-118). IEEE. https://doi.org/10.1109/ITSC.2011.6083137
  13. Chen, J., & Cao, J. (2025). Optimizing eco-driving control in mixed traffic flow of connected and automated electric vehicles with wireless charging. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2025.3570788
  14. Xiao, G., Yao, Z., Zhang, S., & Jiang, Y. (2024). Cooperative eco-driving for mixed platoons at signalized intersections with wireless charging lanes. Energy, 313, 134118. https://doi.org/10.1016/j.energy.2024.134118
  15. Ye, Z., Bragin, M. A., Yu, N., & Wei, R. (2024). Joint planning of dynamic wireless charging lanes and power delivery infrastructure for heavy-duty drayage trucks. Applied energy, 375, 124029. https://doi.org/10.1016/j.apenergy.2024.124029
  16. Liu, W., Wang, X., & Xu, Y. (2023). Bilevel planning of wireless charging lanes in coupled transportation and power distribution networks. IEEE Transactions on Transportation Electrification, 10(2), 2499-2510. https://doi.org/10.1109/TTE.2023.3299561
  17. Wang, Y., Zhou, Y., & Yan, X. (2024). Reliable dynamic wireless charging infrastructure deployment problem for public transport services. European Journal of Operational Research, 313(2), 747-766. https://doi.org/10.1016/j.ejor.2023.08.053
  18. Herrera, F., Lozano, M., & Verdegay, J. L. (1998). Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial intelligence review, 12(4), 265-319. https://doi.org/10.1023/A:1006504901164
  19. Webster, F. V. (1958). Traffic Signal Settings Road Research Technique Paper No. 39. Road Research Laboratory, London.
  20. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of ICNN'95-international conference on neural networks, 4, 1942-1948. https://doi.org/10.1109/ICNN.1995.488968