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Eco-Speed Guidance for the Mixed Traffic of Electric Vehicles and Internal Combustion Engine Vehicles at an Isolated Signalized Intersection

Author

Listed:
  • Kai Liu

    (School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China)

  • Dong Liu

    (JSTI Group, Smart City Institute, Nanjing 210017, China)

  • Cheng Li

    (China Academy of Transportation Sciences, No.240, Huixinli, Chaoyang District, Beijing 100029, China)

  • Toshiyuki Yamamoto

    (Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 464-8603, Japan)

Abstract

Although electric vehicles (EVs) have been regarded as promising to reduce tailpipe emissions and energy consumption, a mixed traffic flow of EVs and internal combustion engine vehicles (ICEVs) makes the energy/emissions reduction objective more difficult because EVs and ICEVs have various general characteristics. This paper proposes a low-emission-oriented speed guidance model to address the energy/emission reduction issue under a mixed traffic flow at an isolated signalized intersection to achieve the objective of reducing emissions and total energy consumption while reducing vehicle delay and travel time. The total energy/emissions under different market penetration rates of EVs with various traffic volumes are analyzed and compared. Numerical examples demonstrate that the proposed speed guidance model has better performance than those without considering the impact of queues. For a certain traffic volume, the energy/emission reduction effects under speed guidance will increase with an increasing share of EVs. This paper also explores the impact of the time interval for guidance renewal on vehicle emissions in practice.

Suggested Citation

  • Kai Liu & Dong Liu & Cheng Li & Toshiyuki Yamamoto, 2019. "Eco-Speed Guidance for the Mixed Traffic of Electric Vehicles and Internal Combustion Engine Vehicles at an Isolated Signalized Intersection," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5636-:d:275924
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    References listed on IDEAS

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