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Environmental Impact Assessment of Autonomous Transportation Systems

Author

Listed:
  • Samantha Heiberg

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Emily Emond

    (Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Cody Allen

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Dheeraj Raya

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Venkataramana Gadhamshetty

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Saurabh Sudha Dhiman

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA
    Department of Chemistry, Biology, and Health Sciences, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Achyuth Ravilla

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

  • Ilke Celik

    (Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA)

Abstract

The transportation industry has led efforts to fight climate change and reduce air pollution. Autonomous electric vehicles (A-EVs) that use artificial intelligence, next-generation batteries, etc., are predicted to replace conventional internal combustion engine vehicles (ICEVs) and electric vehicles (EVs) in the coming years. In this study, we performed a life cycle assessment to analyze A-EVs and compare their impacts with those from EV and ICEV systems. The scope of the analysis consists of the manufacturing and use phases, and a functional unit of 150,000 miles·passenger was chosen for the assessment. Our results on the impacts from the manufacturing phase of the analyzed systems show that the A-EV systems have higher impacts than other transportation systems in the majority of the impacts categories analyzed (e.g., global warming potential, ozone depletion, human toxicity-cancer) and, on average, EV systems were found to be the slightly more environmentally friendly than ICEV systems. The high impacts in A-EV are due to additional components such as cameras, sonar, and radar. In comparing the impacts from the use phase, we also analyzed the impact of automation and found that the use phase impacts of A-EVs outperform EV and ICEV in many aspects, including global warming potential, acidification, and smog formation. To interpret the results better, we also investigated the impacts of electricity grids on the use phase impact of alternative transportation options for three representative countries with different combinations of renewable and conventional primary energy resources such as hydroelectric, nuclear, and coal. The results revealed that A-EVs used in regions that have hydropower-based electric mix become the most environmentally friendly transportation option than others.

Suggested Citation

  • Samantha Heiberg & Emily Emond & Cody Allen & Dheeraj Raya & Venkataramana Gadhamshetty & Saurabh Sudha Dhiman & Achyuth Ravilla & Ilke Celik, 2023. "Environmental Impact Assessment of Autonomous Transportation Systems," Energies, MDPI, vol. 16(13), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5009-:d:1181682
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    References listed on IDEAS

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    Cited by:

    1. Seyed Mohsen Hosseinian & Hamid Mirzahossein & Robert Guzik, 2024. "Sustainable Integration of Autonomous Vehicles into Road Networks: Ecological and Passenger Comfort Considerations," Sustainability, MDPI, vol. 16(14), pages 1-34, July.
    2. Dilshad Mohammed & Balázs Horváth, 2024. "Assessing the Paradox of Autonomous Vehicles: Promised Fuel Efficiency vs. Aggregate Fuel Consumption," Energies, MDPI, vol. 17(7), pages 1-19, March.

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