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A Quantitative Investigation into the Impact of Partially Automated Vehicles on Vehicle Miles Travelled in California

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  • Hardman, Scott PhD
  • Chakraborty, Debapriya PhD
  • Kohn, Eben

Abstract

This project investigated changes in travel behavior by owners of partially automated electric vehicles. Partial automation can control vehicle speed and steering using sensors that monitor the external environment. The researchers used review results from survey responses including 940 users of partial automation, of which 628 who have Tesla Autopilot and 312 with systems from other automakers. Autopilot users report using automation more than users of other partial automation systems. Autopilot has the largest impact on travel, notably 36% of Autopilot users reporting more longdistance travel. Respondents who are younger, have a lower household income, use automation in a greater variety of traffic, roads, and weather conditions, and those who have pro-technology attitudes and outdoor lifestyles are more likely to report doing more long-distance travel. The project used propensity score matching to investigate whether automation leads to any increase in respondents’ annual vehicle miles travelled. For simplicity, the researchers focused only on the impact of Tesla Autopilot and found that automation results in an average of 4,884 more miles being driven per year.

Suggested Citation

  • Hardman, Scott PhD & Chakraborty, Debapriya PhD & Kohn, Eben, 2021. "A Quantitative Investigation into the Impact of Partially Automated Vehicles on Vehicle Miles Travelled in California," Institute of Transportation Studies, Working Paper Series qt58t7674n, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt58t7674n
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    References listed on IDEAS

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    1. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.

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    More about this item

    Keywords

    Engineering; Electric vehicles; intelligent vehicles; level 2 driving automation; travel behavior; travel models; vehicle miles of travel; surveys;
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