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Eco-Driving and Its Impacts on Fuel Efficiency: An Overview of Technologies and Data-Driven Methods

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  • Panagiotis Fafoutellis

    (School of Civil Engineering, Zografou Campus, National Technical University of Athens, 5 Iroon Polytechniou Str., GR 157 73 Athens, Greece)

  • Eleni G. Mantouka

    (School of Civil Engineering, Zografou Campus, National Technical University of Athens, 5 Iroon Polytechniou Str., GR 157 73 Athens, Greece)

  • Eleni I. Vlahogianni

    (School of Civil Engineering, Zografou Campus, National Technical University of Athens, 5 Iroon Polytechniou Str., GR 157 73 Athens, Greece)

Abstract

Eco-driving is a multidimensional concept that includes driving behavior, route selection and all other choices or behaviors related to the vehicles’ fuel consumption (e.g., the use of quality fuel, the use of air conditioning, driving at peak hours, etc.). The scope of this paper is to present an overview of recent literature referring to eco-driving and developed models for calculating fuel consumption, as well as the most important factors affecting it. Recent literature contains a large number of models that estimate fuel consumption, based on naturalistic driving data, which are collected using smartphones and OBDs. In this work, the existing literature is critically assessed in relation to conceptual, methodological and data related aspects. The analyses result to a set of limitations and challenges that are further discussed in the framework of system wide implementations for deriving policies that increase drivers’ awareness, but also improve system performance.

Suggested Citation

  • Panagiotis Fafoutellis & Eleni G. Mantouka & Eleni I. Vlahogianni, 2020. "Eco-Driving and Its Impacts on Fuel Efficiency: An Overview of Technologies and Data-Driven Methods," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:226-:d:469708
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    References listed on IDEAS

    as
    1. Xu, Yanzhi & Li, Hanyan & Liu, Haobing & Rodgers, Michael O. & Guensler, Randall L., 2017. "Eco-driving for transit: An effective strategy to conserve fuel and emissions," Applied Energy, Elsevier, vol. 194(C), pages 784-797.
    2. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    3. Turkensteen, Marcel, 2017. "The accuracy of carbon emission and fuel consumption computations in green vehicle routing," European Journal of Operational Research, Elsevier, vol. 262(2), pages 647-659.
    4. Chia-Yu Hsu & Sirirat Sae Lim & Chin-Sheng Yang, 2017. "Data mining for enhanced driving effectiveness: an eco-driving behaviour analysis model for better driving decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 7096-7109, December.
    5. Alam, Md. Saniul & McNabola, Aonghus, 2014. "A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations," Transport Policy, Elsevier, vol. 35(C), pages 42-49.
    6. Huang, Yuhan & Ng, Elvin C.Y. & Zhou, John L. & Surawski, Nic C. & Chan, Edward F.C. & Hong, Guang, 2018. "Eco-driving technology for sustainable road transport: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 596-609.
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