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Emissions and Fuel Consumption Modeling for Evaluating Environmental Effectiveness of ITS Strategies

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  • Yuan-yuan Song
  • En-jian Yao
  • Ting Zuo
  • Zhi-feng Lang

Abstract

Road transportation is a major fuel consumer and greenhouse gas emitter. Recently, the intelligent transportation systems (ITSs) technologies, which can improve traffic flow and safety, have been developed to reduce the fuel consumption and vehicle emissions. Emission and fuel consumption estimation models play a key role in the evaluation of ITS technologies. Based on the influence analysis of driving parameters on vehicle emissions, this paper establishes a set of mesoscopic vehicle emission and fuel consumption models using the real-world vehicle operation and emission data. The results demonstrate that these models are more appropriate to evaluate the environmental effectiveness of ITS strategies with enough estimation accuracy.

Suggested Citation

  • Yuan-yuan Song & En-jian Yao & Ting Zuo & Zhi-feng Lang, 2013. "Emissions and Fuel Consumption Modeling for Evaluating Environmental Effectiveness of ITS Strategies," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-9, February.
    • Handle: RePEc:hin:jnddns:581945
    DOI: 10.1155/2013/581945
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    Cited by:

    1. Edwin Francisco Ferreira Silva & Wesley Cândido de Melo & Augusto César de Mendonça Brasil, 2023. "A Submodel as a Plug-in for the Assessment of Energy Consumption and CO 2 Emissions in Urban Mobility Plans," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
    2. Tidswell, J. & Downward, A. & Thielen, C. & Raith, A., 2021. "Minimising emissions in traffic assignment with non-monotonic arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 70-90.
    3. John Jairo Posada-Henao & Iván Sarmiento-Ordosgoitia & Alexánder A. Correa-Espinal, 2022. "Effects of Road Slope and Vehicle Weight on Truck Fuel Consumption," Sustainability, MDPI, vol. 15(1), pages 1-19, December.

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