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A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses

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  • Umair Hasan

    (School of Civil and Mechanical Engineering, Curtin University, Perth, WA 6845, Australia
    Emirates Centre for Mobility Research, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Andrew Whyte

    (School of Civil and Mechanical Engineering, Curtin University, Perth, WA 6845, Australia)

  • Hamad AlJassmi

    (Emirates Centre for Mobility Research, United Arab Emirates University, Al Ain 15551, United Arab Emirates
    Department of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

Abstract

In this study a novel microsimulation-based methodology for environmental assessment of urban systems is developed to address the performance of autonomous mass-mobility against conventional approaches. Traffic growth and microsimulation models, calibrated using real data, are utilised to assess four traffic management scenarios: business-as-usual ; public bus transport case ; public-bus rapid transit (BRT) case ; and, a traffic-demand-responsive-autonomous-BRT case , focusing on fuel energy efficiency, headways, fleet control and platooning for lifecycle analysis (2015–2045) of a case study 3.5 km long 5-lane dual-carriageway section. Results showed that both energy consumption and exhaust emission rates depend upon traffic volume and flow rate factors of vehicle speed-time curves; acceleration-deceleration; and braking rate. The results measured over-reliance of private cars utilising fossil fuel that cause congestions and high environmental footprint on urban roads worsen causing excessive travel times. Public transport promotion was found to be an effective and easy-to-implement environmental burden reduction strategy. Results showed significant potential of autonomous mass-mobility systems to reduce environmental footprint of urban traffic, provided adequate mode-shift can be achieved. The study showed utility of microsimulations for energy and emissions assessment, it linked bus network performance assessment with environmental policies and provided empirical models for headway and service frequency comparisons at vehicle levels. The developed traffic fleet operation prediction methodology for long-term policy implications and tracking models for accurate yearly simulation of real-world vehicle operation profiles are applicable for other sustainability-oriented urban traffic management studies.

Suggested Citation

  • Umair Hasan & Andrew Whyte & Hamad AlJassmi, 2022. "A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses," Sustainability, MDPI, vol. 14(23), pages 1-31, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15657-:d:983258
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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. Clare Linton & Susan Grant-Muller & William F. Gale, 2015. "Approaches and Techniques for Modelling CO 2 Emissions from Road Transport," Transport Reviews, Taylor & Francis Journals, vol. 35(4), pages 533-553, July.
    3. Ralph Buehler & John Pucher & Regine Gerike & Thomas Götschi, 2017. "Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 4-28, January.
    4. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    5. Kazim, Ayoub, 2003. "Introduction of PEM fuel-cell vehicles in the transportation sector of the United Arab Emirates," Applied Energy, Elsevier, vol. 74(1-2), pages 125-133, January.
    6. Wu, Irene & Pojani, Dorina, 2016. "Obstacles to the creation of successful bus rapid transit systems: The case of Bangkok," Research in Transportation Economics, Elsevier, vol. 60(C), pages 44-53.
    7. Abe, Ryosuke, 2019. "Introducing autonomous buses and taxis: Quantifying the potential benefits in Japanese transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 94-113.
    8. Zanni, Alberto M. & Bristow, Abigail L., 2010. "Emissions of CO2 from road freight transport in London: Trends and policies for long run reductions," Energy Policy, Elsevier, vol. 38(4), pages 1774-1786, April.
    9. Monika Ziemska-Osuch & Dawid Osuch, 2022. "Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    10. Martin Fellendorf & Peter Vortisch, 2010. "Microscopic Traffic Flow Simulator VISSIM," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 63-93, Springer.
    11. Lajunen, Antti & Lipman, Timothy, 2016. "Lifecycle cost assessment and carbon dioxide emissions of diesel, natural gas, hybrid electric, fuel cell hybrid and electric transit buses," Energy, Elsevier, vol. 106(C), pages 329-342.
    12. McCollum, David & Yang, Christopher, 2009. "Achieving deep reductions in US transport greenhouse gas emissions: Scenario analysis and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5580-5596, December.
    13. Sharif, Arshian & Shahbaz, Muhammad & Hille, Erik, 2019. "The Transportation-growth nexus in USA: Fresh insights from pre-post global crisis period," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 108-121.
    14. Varga, Balázs & Tettamanti, Tamás & Kulcsár, Balázs, 2019. "Energy-aware predictive control for electrified bus networks," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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