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Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones

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  • Maksymilian Mądziel

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

Abstract

Current emission models primarily focus on traditional combustion vehicles and may not accurately represent emissions from the increasingly diverse vehicle fleet. The growing presence of hybrid and electric vehicles requires the development of accurate emission models to measure the emissions and energy consumption of these vehicles. This issue is particularly relevant for low-emission zones within cities, where effective mobility planning relies on simulation models using continuously updated databases. This research presents a two-dimensional emission model for hybrid vehicles, employing artificial neural networks for low-emission zones. The key outcome is the methodology developed to create a CO 2 emission model tailored for hybrid vehicles, which can be used to simulate various road solutions. The CO 2 emission model achieved an R 2 coefficient of 0.73 and an MSE of 0.91, offering valuable information for further advancements in emission modelling.

Suggested Citation

  • Maksymilian Mądziel, 2023. "Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones," Energies, MDPI, vol. 16(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6928-:d:1252695
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    1. Doucette, Reed T. & McCulloch, Malcolm D., 2011. "Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions," Applied Energy, Elsevier, vol. 88(7), pages 2315-2323, July.
    2. 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.
    3. Alessandro Severino & Giuseppina Pappalardo & Salvatore Curto & Salvatore Trubia & Isaac Oyeyemi Olayode, 2021. "Safety Evaluation of Flower Roundabout Considering Autonomous Vehicles Operation," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    4. Maksymilian Mądziel & Tiziana Campisi, 2023. "Investigation of Vehicular Pollutant Emissions at 4-Arm Intersections for the Improvement of Integrated Actions in the Sustainable Urban Mobility Plans (SUMPs)," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    5. Harilaos N. Psaraftis, 2019. "Speed Optimization vs Speed Reduction: the Choice between Speed Limits and a Bunker Levy," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    6. Giulia Sandrini & Marco Gadola & Daniel Chindamo & Laura Zecchi, 2023. "Model of a Hybrid Electric Vehicle Equipped with Solid Oxide Fuel Cells Powered by Biomethane," Energies, MDPI, vol. 16(13), pages 1-23, June.
    7. Giulia Sandrini & Daniel Chindamo & Marco Gadola, 2022. "Regenerative Braking Logic That Maximizes Energy Recovery Ensuring the Vehicle Stability," Energies, MDPI, vol. 15(16), pages 1-43, August.
    8. Ali Kharrazi & Hua Qin & Yi Zhang, 2016. "Urban Big Data and Sustainable Development Goals: Challenges and Opportunities," Sustainability, MDPI, vol. 8(12), pages 1-6, December.
    9. Mohammad Hajigholizadeh & Angelica Moncada & Samuel Kent & Assefa M. Melesse, 2021. "Land–Lake Linkage and Remote Sensing Application in Water Quality Monitoring in Lake Okeechobee, Florida, USA," Land, MDPI, vol. 10(2), pages 1-17, February.
    10. Veronika Fensterer & Helmut Küchenhoff & Verena Maier & Heinz-Erich Wichmann & Susanne Breitner & Annette Peters & Jianwei Gu & Josef Cyrys, 2014. "Evaluation of the Impact of Low Emission Zone and Heavy Traffic Ban in Munich (Germany) on the Reduction of PM 10 in Ambient Air," IJERPH, MDPI, vol. 11(5), pages 1-19, May.
    11. Muhamad Rizki & Muhammad Zudhy Irawan & Puspita Dirgahayani & Prawira Fajarindra Belgiawan & Retno Wihanesta, 2022. "Low Emission Zone (LEZ) Expansion in Jakarta: Acceptability and Restriction Preference," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    12. Jiyeon Jung & Yoonmo Koo, 2018. "Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    13. 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.
    14. Abebe Dress Beza & Mohammad Maghrour Zefreh & Adam Torok, 2022. "Impacts of Different Types of Automated Vehicles on Traffic Flow Characteristics and Emissions: A Microscopic Traffic Simulation of Different Freeway Segments," Energies, MDPI, vol. 15(18), pages 1-19, September.
    15. Andrea Gabaldón Moreno & Fredy Vélez & Beril Alpagut & Patxi Hernández & Cecilia Sanz Montalvillo, 2021. "How to Achieve Positive Energy Districts for Sustainable Cities: A Proposed Calculation Methodology," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    16. Andrea Pirisi & Francesco Grimaccia & Marco Mussetta & Riccardo E. Zich, 2012. "Novel Speed Bumps Design and Optimization for Vehicles' Energy Recovery in Smart Cities," Energies, MDPI, vol. 5(11), pages 1-19, November.
    17. Tianjun Zhang & Shuang Song & Shugang Li & Li Ma & Shaobo Pan & Liyun Han, 2019. "Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time Series," Energies, MDPI, vol. 12(1), pages 1-15, January.
    18. Hanadi Al-Thani & Muammer Koç & Rima J. Isaifan & Yusuf Bicer, 2022. "A Review of the Integrated Renewable Energy Systems for Sustainable Urban Mobility," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    19. Zhichao Li, 2022. "Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
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