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Evaluation of the Environmental Effect of Automated Vehicles Based on IVIULWG Operator Development

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  • Shuang Kan

    (School of Business Administration, Northeastern University, Shenyang 110169, China)

  • Wei Lyu

    (School of Business Administration, Northeastern University, Shenyang 110169, China)

  • Shiyu Zhao

    (School of Business Administration, Northeastern University, Shenyang 110169, China)

Abstract

The automated vehicle (AV) industry is a new growing industry of great interest. The environmental friendliness of AVs represents a core characteristic of their leap-forward development. The environmental effect of AVs, including its evaluation framework and algorithm, is a leading research area for continued technological innovation and market development in this field. This study focuses on three environmental aspects: the energy effect of AVs, the traffic effect of AVs on ground space, and the air effect of AVs on three-dimensional atmospheric space. First, an environmental effect evaluation indicator system that includes nine indices for AVs is constructed to be the basis for management decision making. Second, the interval-valued intuitionistic uncertain fuzzy (IVIUF) evaluation variable is used to solve the problem of data features that incorporate “crisp numbers” and “fuzzy numbers”. Moreover, geometric weights are added based on the generalized correlation aggregation operator. Then, the IVIUL-weighted geometric (IVIULWG) operator is developed, which includes the objective and subjective information of “crisp numbers” and “fuzzy numbers” and makes the mathematical characteristics more scientific and accurate. Finally, an evaluation example is used to validate the effectiveness and practicability of the algorithm.

Suggested Citation

  • Shuang Kan & Wei Lyu & Shiyu Zhao, 2022. "Evaluation of the Environmental Effect of Automated Vehicles Based on IVIULWG Operator Development," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9669-:d:881436
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    References listed on IDEAS

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    1. Greenblatt, Jeffery & Shaheen, Susan PhD, 2015. "Automated Vehicles, On-Demand Mobility and Environmental Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt23r1h80t, Institute of Transportation Studies, UC Berkeley.
    2. 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.
    3. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    4. Li, Shunxi & Sui, Pang-Chieh & Xiao, Jinsheng & Chahine, Richard, 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 573-586.
    5. Christoph Mazur & Gregory J. Offer & Marcello Contestabile & Nigel Brandon Brandon, 2018. "Comparing the Effects of Vehicle Automation, Policy-Making and Changed User Preferences on the Uptake of Electric Cars and Emissions from Transport," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    6. Raj, Alok & Kumar, J. Ajith & Bansal, Prateek, 2020. "A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 122-137.
    7. Fábio Duarte & Carlo Ratti, 2018. "The Impact of Autonomous Vehicles on Cities: A Review," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(4), pages 3-18, October.
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