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Impacts of SOC on car-following behavior and travel time in the heterogeneous traffic system

Author

Listed:
  • Tang, Tie-Qiao
  • Xu, Ke-Wei
  • Yang, Shi-Chun
  • Ding, Chuan

Abstract

Since the SOC (state of charge) of the battery of each electric vehicle directly determines whether the battery should be charged/swapped, the SOC may affect the electric vehicle’s driving behavior. In this paper, we introduce the SOC of battery into the electric vehicle’s driving behavior model and propose a car-following model for electric vehicles, and then use the proposed model to study the effects of the SOC of battery and battery swap on each vehicle’s driving behavior in the heterogeneous traffic system consisting of traditional vehicles and electric vehicles. The numerical results show that the proposed model can reproduce some complex traffic phenomena resulted by the SOC of battery and battery swap and that the influences on each vehicle’s driving behavior are directly related to the initial traffic state, the electric vehicle’s proportion, and the SOC of battery.

Suggested Citation

  • Tang, Tie-Qiao & Xu, Ke-Wei & Yang, Shi-Chun & Ding, Chuan, 2016. "Impacts of SOC on car-following behavior and travel time in the heterogeneous traffic system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 221-229.
    • Handle: RePEc:eee:phsmap:v:441:y:2016:i:c:p:221-229
    DOI: 10.1016/j.physa.2015.09.003
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    Citations

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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. 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.
    3. Kai Liu & Meng-Ying Cui & Peng Cao & Jiang-Bo Wang, 2016. "Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-12, June.
    4. Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2016. "Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles," Applied Energy, Elsevier, vol. 183(C), pages 1351-1360.
    5. Wang, Yan & Peng, Zhongyi & Chen, Qun, 2018. "Simulated interactions of pedestrian crossings and motorized vehicles in residential areas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1046-1060.
    6. 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).
    7. Leng, Jun-Qiang & Zhao, Lin, 2017. "Analysis of electric vehicle’s trip cost without late arrival," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 761-766.
    8. Leng, Jun-Qiang & Liu, Wei-Yi & Zhao, Lin, 2017. "Analysis of electric vehicle’s trip cost allowing late arrival," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 293-300.

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