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Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models

Author

Listed:
  • Jacek Oskarbski

    (Faculty of Civil and Environmental Engineering, Gdansk University of Technology, 80-233 Gdańsk, Poland)

  • Konrad Biszko

    (Faculty of Civil and Environmental Engineering, Gdansk University of Technology, 80-233 Gdańsk, Poland)

Abstract

This paper addresses issues related to modeling energy consumption and emissions using microscopic traffic simulations. This paper develops a method in which a traffic model is used to calculate the energy needed to travel through selected types of intersections. This paper focuses on energy consumption and derived values of calculated energy, which can be, for example, carbon dioxide emissions. The authors present a review of the scientific literature on the study of factors affecting energy consumption and emissions and methods to estimate them in traffic. The authors implemented an energy consumption model into a microsimulation software module to estimate results as a function of varying traffic volumes at selected types of intersections and for selected traffic organization scenarios. The results of the study show the lowest energy consumption and the lowest emissions when road solutions are selected that contribute to reducing vehicle travel times on the urban street network at higher average vehicle speeds. In addition, the positive impact of the share of electric vehicles in the traffic flow on the reduction of energy consumption and emissivity was estimated.

Suggested Citation

  • Jacek Oskarbski & Konrad Biszko, 2022. "Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models," Energies, MDPI, vol. 16(1), pages 1-35, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:233-:d:1014707
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    References listed on IDEAS

    as
    1. Romanika Okraszewska & Aleksandra Romanowska & Marcin Wołek & Jacek Oskarbski & Krystian Birr & Kazimierz Jamroz, 2018. "Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
    2. Zihan Kan & Luliang Tang & Mei-Po Kwan & Xia Zhang, 2018. "Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data," IJERPH, MDPI, vol. 15(4), pages 1-23, March.
    3. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    4. Chen Chen & Xiaohua Zhao & Hao Liu & Guichao Ren & Yunlong Zhang & Xiaoming Liu, 2019. "Assessing the Influence of Adverse Weather on Traffic Flow Characteristics Using a Driving Simulator and VISSIM," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
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