IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v204y2026ics0965856425004549.html

Charging while driving lanes: A boon to electric vehicle owners or a disruption to traffic flow

Author

Listed:
  • Bafandkar, Shayan
  • Talebpour, Alireza

Abstract

Large-scale adoption of commercial and personal Electric Vehicles (EVs) is expected to significantly affect traffic flow dynamics, emissions, and energy consumption in the transportation sector. Range anxiety and challenges associated with charging EVs are among the key issues that reduce the adoption rate of EVs and, in turn, limit their system-level impacts. A promising solution to address these challenges is the introduction of charging while driving (CWD) lanes, either by appropriating an existing lane or augmenting an EV reserved lane to the highway segment. Although technological advancements have made it possible to charge vehicles wirelessly while driving, introducing such lanes to the traffic stream can potentially disturb traffic flow and result in new congestion patterns. This study puts forward a microscopic simulation framework to investigate the effects of CWD lanes on traffic flow dynamics at the segment level. It takes into account different market penetration rates (MPRs) of both personal and commercial EVs in the forms of Automated Vehicles (AVs) and Electric drayage Trucks (ETs), respectively. Different policies have been investigated to suggest the best design for CWD lanes. Results indicate that introducing CWD lanes can decrease overall traffic throughput and increase congestion due to additional lane-changing maneuvers by electric vehicles aiming to utilize the CWD lane. Although higher MPRs of EVs help stabilize traffic flow and reduce the number of shockwaves, speed disruption tends to increase in the CWD lane and propagate to adjacent lanes. Emission analyses show significant reductions (up to 63 %) in pollution levels with increasing MPRs of personal and commercial EVs. Our analysis shows that while CWD lanes can facilitate the adoption of EVs, they can deteriorate traffic efficiency, emphasizing the importance of careful design and policy considerations.

Suggested Citation

  • Bafandkar, Shayan & Talebpour, Alireza, 2026. "Charging while driving lanes: A boon to electric vehicle owners or a disruption to traffic flow," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
  • Handle: RePEc:eee:transa:v:204:y:2026:i:c:s0965856425004549
    DOI: 10.1016/j.tra.2025.104821
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856425004549
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104821?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Zhibin & He, Fang & Yin, Yafeng, 2016. "Optimal deployment of charging lanes for electric vehicles in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 344-365.
    2. Miller, Marshall & Wang, Qian & Fulton, Lewis, 2022. "Spatial Scenarios for Market Penetration of Plug-in Battery Electric Trucks in the U.S," Institute of Transportation Studies, Working Paper Series qt77m0v72x, Institute of Transportation Studies, UC Davis.
    3. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    4. Machura, Philip & Li, Quan, 2019. "A critical review on wireless charging for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 209-234.
    5. Baresch, Martin & Moser, Simon, 2019. "Allocation of e-car charging: Assessing the utilization of charging infrastructures by location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 388-395.
    6. Ye, Zuzhao & Bragin, Mikhail A. & Yu, Nanpeng & Wei, Ran, 2024. "Joint planning of dynamic wireless charging lanes and power delivery infrastructure for heavy-duty drayage trucks," Applied Energy, Elsevier, vol. 375(C).
    7. Martin Treiber & Arne Kesting, 2009. "Modeling Lane-Changing Decisions with MOBIL," Springer Books, in: Cécile Appert-Rolland & François Chevoir & Philippe Gondret & Sylvain Lassarre & Jean-Patrick Lebacq (ed.), Traffic and Granular Flow ’07, pages 211-221, Springer.
    8. Colovic, Aleksandra & Marinelli, Mario & Ottomanelli, Michele, 2024. "Towards the electrification of freight transport: A network design model for assessing the adoption of eHighways," Transport Policy, Elsevier, vol. 150(C), pages 106-120.
    9. Chen, Danjue & Ahn, Soyoung & Chitturi, Madhav & Noyce, David A., 2017. "Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 196-221.
    10. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2017. "Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 40-52.
    11. Reece, Douglas A. & Shafer, Steven A., 1993. "A computational model of driving for autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(1), pages 23-50, January.
    12. Li, Bin & Dong, Xujun & Wen, Jianghui, 2022. "Cooperative-driving control for mixed fleets at wireless charging sections for lane changing behaviour," Energy, Elsevier, vol. 243(C).
    13. He, Sylvia Y. & Kuo, Yong-Hong & Sun, Ka Kit, 2022. "The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 21-44.
    14. Ye, Lanhang & Yamamoto, Toshiyuki, 2019. "Evaluating the impact of connected and autonomous vehicles on traffic safety," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    15. Guerrieri, Marco & Mauro, Raffaele, 2016. "Capacity and safety analysis of hard-shoulder running (HSR). A motorway case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 162-183.
    16. Tengilimoglu, Oguz & Carsten, Oliver & Wadud, Zia, 2023. "Infrastructure requirements for the safe operation of automated vehicles: Opinions from experts and stakeholders," Transport Policy, Elsevier, vol. 133(C), pages 209-222.
    17. Konstantinou, Theodora & Gkritza, Konstantina, 2023. "Are we getting close to truck electrification? U.S. truck fleet managers’ stated intentions to electrify their fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    18. Yuchao Cai & Jie Zhang & Quan Gu & Chenlu Wang, 2024. "An Analytical Framework for Assessing Equity of Access to Public Electric Vehicle Charging Stations: The Case of Shanghai," Sustainability, MDPI, vol. 16(14), pages 1-38, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Yunxia & Li, Le & Jiang, Chenming & Jiang, Yangsheng & Yao, Zhihong, 2025. "The impact of selfish driving behavior of autonomous vehicles on mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
    2. Shi, Lei & Lin, Boqiang, 2026. "Barriers to convenient electric vehicle charging: Evidence from China's first-tier cities," Transport Policy, Elsevier, vol. 176(C).
    3. Zeng, Bing & Yu, Xinlian & Zhang, Zihao & Pu, Ziyuan, 2025. "Optimizing charging station locations for mixed traffic of electric and gasoline vehicles: a stochastic user equilibrium approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    4. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    5. Lingshu Zhong & Mingyang Pei, 2020. "Optimal Design for a Shared Swap Charging System Considering the Electric Vehicle Battery Charging Rate," Energies, MDPI, vol. 13(5), pages 1-16, March.
    6. Liu, Fan & Tan, Zhen & Chan, Hing Kai & Zheng, Liang, 2026. "Model-based variable speed limit control on wireless charging lanes: Formulation and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    7. Yang, Wei & Ma, Minghui & Liang, Shidong & Wang, Tao & Yang, Jufen, 2025. "Coordination optimization of wireless charging and traffic efficiency in freeway Merging zones," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
    8. Qian, Yongsheng & Zhang, Qingru & Zeng, Junwei & Wei, Xu, 2026. "Emergent traffic flow patterns from different intelligent levels of autonomous vehicles in fog," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 683(C).
    9. Ngoduy, Dong & Nguyen, Cuong H.P. & Lee, Seunghyeon & Zheng, Zuduo & Lo, Hong K., 2024. "A dynamic system optimal dedicated lane design for connected and autonomous vehicles in a heterogeneous urban transport network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    10. Zhao, Fangxia & Shang, HuaYan & Cui, JiHui, 2023. "Role of electric vehicle driving behavior on optimal setting of wireless charging lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    11. Wu, Jiabin & Li, Qihang & Bie, Yiming & Zhou, Wei, 2024. "Location-routing optimization problem for electric vehicle charging stations in an uncertain transportation network: An adaptive co-evolutionary clustering algorithm," Energy, Elsevier, vol. 304(C).
    12. Lee, Chungmok & Han, Jinil, 2017. "Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 130-152.
    13. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    14. Shafqat Jawad & Junyong Liu, 2020. "Electrical Vehicle Charging Services Planning and Operation with Interdependent Power Networks and Transportation Networks: A Review of the Current Scenario and Future Trends," Energies, MDPI, vol. 13(13), pages 1-24, July.
    15. Qin, Yanyan & Liu, Changqing & Yan, Shiyi & Wang, Hua, 2025. "Management strategy for the maximum platoon size of connected automated vehicles in a freeway lane: A mixed traffic capacity modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    16. Tamakloe, Reuben & Caesar, Livingstone Divine & Kim, Inhi, 2026. "Determinants of battery electric vehicle adoption concerns: insights from commercial fleet owners," Transportation Research Part A: Policy and Practice, Elsevier, vol. 205(C).
    17. Fonseca, Camila & Jiang, Haiyue & Zeerak, Raihana & Zhao, Jerry Zhirong, 2024. "Explaining the adoption of electric vehicle fees across the United States," Transport Policy, Elsevier, vol. 149(C), pages 139-149.
    18. Sania E. Seilabi & Mohammadhosein Pourgholamali & Mohammad Miralinaghi & Gonçalo Homem de Almeida Correia & Zongzhi Li & Samuel Labi, 2024. "Sustainable Planning of Electric Vehicle Charging Stations: A Bi-Level Optimization Framework for Reducing Vehicular Emissions in Urban Road Networks," Sustainability, MDPI, vol. 17(1), pages 1-23, December.
    19. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    20. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:204:y:2026:i:c:s0965856425004549. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.