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Study on a Prediction Model of Superhighway Fuel Consumption Based on the Test of Easy Car Platform

Author

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  • Yong-Ming He

    (School of Transportation, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
    School of Civil Engineering, University of Wisconsin-Madison, Madison, WI 57305, USA)

  • Jia Kang

    (School of Transportation, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
    Transport Research Centre, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China)

  • Yu-Long Pei

    (School of Transportation, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
    Transport Research Centre, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China)

  • Bin Ran

    (School of Civil Engineering, University of Wisconsin-Madison, Madison, WI 57305, USA
    Southeast University-University of Wisconsin Intelligent Network Transportation Joint Research Institute, 2312 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, USA)

  • Yu-Ting Song

    (School of Transportation, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
    Transport Research Centre, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China)

Abstract

To explore the relationship between fuel consumption and speed for a vehicle on a superhighway with a design speed exceeding 120 km/h, the fuel consumption data provided by the Test of Easy Car platform are used to fit the fuel consumption of different models. The fitting results show that the fitting degree of fuel consumption by a cubic curve is the highest, and the correlation coefficient is above 0.95. A fuel consumption cubic curve model of different vehicle types is established by using the fitting parameters to predict the fuel consumption when a vehicle is running at a speed of 130 km/h–180 km/h. The prediction results show that the average fuel consumption of compact vehicles is the lowest when a vehicle is running on a superhighway at speeds of 130 km/h–180 km/h, with values of 8.95 L/100 km–16.26 L/100 km; the average fuel consumption of sport utility vehicles (SUVs) is the highest, with values of 12.65 L/100 km–22.70 L/100 km. The prediction results can be used to estimate the cost of using a superhighway and provide a basis for estimating the feasibility of superhighways.

Suggested Citation

  • Yong-Ming He & Jia Kang & Yu-Long Pei & Bin Ran & Yu-Ting Song, 2020. "Study on a Prediction Model of Superhighway Fuel Consumption Based on the Test of Easy Car Platform," Sustainability, MDPI, vol. 12(15), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6260-:d:394114
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    References listed on IDEAS

    as
    1. Yu-Long Pei & Yong-Ming He & Bin Ran & Jia Kang & Yu-Ting Song, 2020. "Horizontal Alignment Security Design Theory and Application of Superhighways," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    2. Ben Dror, Maya & Qin, Lanzhi & An, Feng, 2019. "The gap between certified and real-world passenger vehicle fuel consumption in China measured using a mobile phone application data," Energy Policy, Elsevier, vol. 128(C), pages 8-16.
    3. repec:aph:ajpbhl:10.2105/ajph.2017.303880_5 is not listed on IDEAS
    4. Redelmeier, D.A. & Bhatti, J.A., 2017. "Princess Diana and reduced traffic deaths in France and the United States," American Journal of Public Health, American Public Health Association, vol. 107(8), pages 1246-1248.
    Full references (including those not matched with items on IDEAS)

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