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An electric vehicle driving behavior model in the traffic system with a wireless charging lane

Author

Listed:
  • He, Jia
  • Huang, Hai-Jun
  • Yang, Hai
  • Tang, Tie-Qiao

Abstract

In this paper, a car-following model is proposed to study each EV’s (electric vehicle) motion behavior near the WCL (wireless charging lane) and a lane-changing rule is designed to describe the EV’s lane-changing behavior. Then, the car-following model and lane-changing rule are used to explore each EV’s micro driving behavior in a two-lane system with a WCL. Finally, the impacts of the WCL on each EV’s motion behavior are investigated. The numerical results show that each EV should run slowly on the WCL if it needs charge of electricity, that the EV’s lane-changing behavior has great effects on the whole system, that the delay time caused by the WCL turns more prominent when the traffic turns heavy, and that lane-changing frequently occurs near the WCL (especially at the downstream of the WCL).

Suggested Citation

  • He, Jia & Huang, Hai-Jun & Yang, Hai & Tang, Tie-Qiao, 2017. "An electric vehicle driving behavior model in the traffic system with a wireless charging lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 119-126.
    • Handle: RePEc:eee:phsmap:v:481:y:2017:i:c:p:119-126
    DOI: 10.1016/j.physa.2017.04.013
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    References listed on IDEAS

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    Cited by:

    1. He, Jia & Yang, Hai & Huang, Hai-Jun & Tang, Tie-Qiao, 2018. "Impacts of wireless charging lanes on travel time and energy consumption in a two-lane road system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 1-10.
    2. 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).
    3. Hou, Qinzhong & Meng, Xianghai & Leng, Junqiang & Yu, Lu, 2018. "Application of a random effects negative binomial model to examine crash frequency for freeways in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 937-944.
    4. Yu, Bin & Zhou, Huixin & Wang, Lin & Wang, Zirui & Cui, Shaohua, 2021. "An extended two-lane car-following model considering the influence of heterogeneous speed information on drivers with different characteristics under honk environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    5. 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).
    6. Hou, Qinzhong & Meng, Xianghai & Huo, Xiaoyan & Cheng, Yuxing & Leng, Junqiang, 2019. "Effects of freeway climbing lane on crash frequency: Application of propensity scores and potential outcomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 246-256.
    7. 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).
    8. Zhang, Jian & Tang, Tie-Qiao & Yan, Yadan & Qu, Xiaobo, 2021. "Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging," Applied Energy, Elsevier, vol. 282(PA).
    9. Zhang, Hao & Cai, Guixin, 2020. "Subsidy strategy on new-energy vehicle based on incomplete information: A Case in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).

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