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Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model

Author

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  • Sergio Maria Patella

    (Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy)

  • Flavio Scrucca

    (CIRIAF, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy)

  • Francesco Asdrubali

    (Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy)

  • Stefano Carrese

    (Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy)

Abstract

This paper presents a model to evaluate the life cycle greenhouse gases (GHG) emissions, expressed in terms of carbon dioxide equivalent (CO 2 eq), of a generic fleet composition as a function of the traffic simulation results. First we evaluated the complete life cycle of each category of the vehicles currently circulating; next, by defining a general linear equation, the traffic environmental performances of a real road network (city of Rome) were evaluated using a traffic simulation approach. Finally, the proposed methodology was applied to evaluate the GHG emission of a 100% penetration of battery electric vehicles (BEVs) and various electric and conventional vehicles composition scenarios. In terms of life cycle impacts, BEVs are the vehicles with the highest GHG emissions at the vehicle level (construction + maintenance + end-of-life processes) that are, on average, 20% higher than internal combustion engine vehicles, and 6.5% higher than hybrid electric vehicles (HEVs). Nevertheless, a 100% BEVs penetration scenario generates a reduction of the environmental impact at the mobility system level of about 65%.

Suggested Citation

  • Sergio Maria Patella & Flavio Scrucca & Francesco Asdrubali & Stefano Carrese, 2019. "Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4328-:d:256489
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    References listed on IDEAS

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    Cited by:

    1. Xinguang Li & Tong Lv & Jun Zhan & Shen Wang & Fuquan Pan, 2022. "Carbon Emission Measurement of Urban Green Passenger Transport: A Case Study of Qingdao," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    2. Sokratis Mamarikas & Zissis Samaras & Leonidas Ntziachristos, 2025. "An Efficient Concept to Integrate Traffic Activity Dynamics into Fleet LCAs," Energies, MDPI, vol. 18(19), pages 1-18, September.
    3. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.

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