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Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach

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  • Chen, Yuche
  • Gonder, Jeffrey
  • Young, Stanley
  • Wood, Eric

Abstract

Autonomous vehicles are drawing significant attention from governments, manufacturers and consumers. Experts predict them to be the primary means of transportation by the middle of this century. Recent literature shows that vehicle automation has the potential to alter traffic patterns, vehicle ownership, and land use, which may affect fuel consumption from the transportation sector. In this paper, we developed a data-rich analytical framework to quantify system-wide fuel impacts of automation in the United States by integrating (1) a dynamic vehicle sales, stock, and usage model, (2) an historical transportation network-level vehicle miles traveled (VMT)/vehicle activity database, and (3) estimates of automation’s impacts on fuel efficiency and travel demand. The vehicle model considers dynamics in vehicle fleet turnover and fuel efficiency improvements of conventional and advanced vehicle fleet. The network activity database contains VMT, free-flow speeds, and historical speeds of road links that can help us accurately identify fuel-savings opportunities of automation. Based on the model setup and assumptions, we found that the impacts of automation on fuel consumption are quite wide-ranging—with the potential to reduce fuel consumption by 45% in our “Optimistic” case or increase it by 30% in our “Pessimistic” case. Second, implementing automation on urban roads could potentially result in larger fuel savings compared with highway automation because of the driving features of urban roads. Through scenario analysis, we showed that the proposed framework can be used for refined assessments as better data on vehicle-level fuel efficiency and travel demand impacts of automation become available.

Suggested Citation

  • Chen, Yuche & Gonder, Jeffrey & Young, Stanley & Wood, Eric, 2019. "Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 134-145.
    • Handle: RePEc:eee:transa:v:122:y:2019:i:c:p:134-145
    DOI: 10.1016/j.tra.2017.10.012
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    References listed on IDEAS

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    1. Martin, Elliot & Shaheen, Susan Alison & Lidicker, Jeffrey, 2010. "Carsharing’S Impact On Household Vehicle Holdings: Results From A North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0850h6r5, Institute of Transportation Studies, UC Berkeley.
    2. Martin, Elliot & Shaheen, Susan Alison & Lidicker, Jeffrey, 2010. "Carsharing’S Impact On Household Vehicle Holdings: Results From A North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Working Paper Series qt0850h6r5, Institute of Transportation Studies, UC Davis.
    3. Itf, 2015. "Automated and Autonomous Driving: Regulation under Uncertainty," International Transport Forum Policy Papers 7, OECD Publishing.
    4. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    5. Chen, Yuche & Zhang, Yunteng & Fan, Yueyue & Hu, Kejia & Zhao, Jianyou, 2017. "A dynamic programming approach for modeling low-carbon fuel technology adoption considering learning-by-doing effect," Applied Energy, Elsevier, vol. 185(P1), pages 825-835.
    6. Hu, Kejia & Chen, Yuche, 2016. "Technological growth of fuel efficiency in european automobile market 1975–2015," Energy Policy, Elsevier, vol. 98(C), pages 142-148.
    7. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    8. Martin, Elliot & Shaheen, Susan A & Lidicker, Jeffrey, 2010. "Carsharing's Impact on Household Vehicle Holdings: Resultsvfrom a North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3bn9n6pq, Institute of Transportation Studies, UC Berkeley.
    9. Christopher R. Knittel, 2011. "Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector," American Economic Review, American Economic Association, vol. 101(7), pages 3368-3399, December.
    Full references (including those not matched with items on IDEAS)

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