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An Extensive Investigation of an Eco-Approach Controller under a Partially Connected and Automated Vehicle Environment

Author

Listed:
  • Huifu Jiang

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

  • Jia Hu

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China)

  • Byungkyu Brian Park

    (Link Lab & Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22904, USA)

  • Meng Wang

    (Department of Transport & Planning, Delft University of Technology, Delft 2628 CN, The Netherlands)

  • Wei Zhou

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

Abstract

This study evaluated the performance of an eco-approach control system at signalized intersections under a partially connected and automated vehicle (CAV) environment. This system has the first eco-approach controller able to function with the existence of surrounding human-driven traffic. A previous evaluation only confirmed its benefits. The purpose of this study was to conduct a further extensive test on the controller to identify room for improvement. Two different networks were tested, including an isolated signalized intersection and a corridor with two signalized intersections. The measures of effectiveness (MOEs) adopted were throughput and fuel consumption. All the before-and-after MOEs were compared using t -tests. The results indicate that the controller generally improved the fuel efficiency without harm to the mobility, and its environmental performance was affected by the minimum CAV speed, green ratio, congestion level, and marker penetration rate of CAVs. A detailed investigation revealed that no significant environmental benefit was generated under high congestion levels when the minimum speed of CAVs was more than 20 mph, and the shockwaves caused by the eco-approach control may result in a gating effect that reduces the throughput at the upstream intersection of the corridor under high congestion levels.

Suggested Citation

  • Huifu Jiang & Jia Hu & Byungkyu Brian Park & Meng Wang & Wei Zhou, 2019. "An Extensive Investigation of an Eco-Approach Controller under a Partially Connected and Automated Vehicle Environment," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6319-:d:285738
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    References listed on IDEAS

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    1. Huifu Jiang & Shi An & Jian Wang & Jianxun Cui, 2018. "Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection," Sustainability, MDPI, vol. 10(1), pages 1-20, January.
    2. Ma, Jiaqi & Li, Xiaopeng & Zhou, Fang & Hu, Jia & Park, B. Brian, 2017. "Parsimonious shooting heuristic for trajectory design of connected automated traffic part II: Computational issues and optimization," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 421-441.
    3. Akcelik, Rahmi, 1989. "Efficiency and drag in the power-based model of fuel consumption," Transportation Research Part B: Methodological, Elsevier, vol. 23(5), pages 376-385, October.
    4. Newell, G. F., 2002. "A simplified car-following theory: a lower order model," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 195-205, March.
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    2. Huifu Jiang & Wei Zhou & Chang Liu & Guosheng Zhang & Meng Hu, 2020. "Safe and Ecological Speed Control for Heavy-Duty Vehicles on Long–Steep Downhill and Sharp-Curved Roads," Sustainability, MDPI, vol. 12(17), pages 1-35, August.

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