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Incorporating Local Road Grades and Times-of-Day Traffic into Vehicle Specific Power Profiling for Urban Freeway Vehicle Emission Estimation

Author

Listed:
  • Zhuo Yao
  • Ting Zuo

    (Department of Civil & Architectural Engineering & Construction Management, University of Cincinnati, USA)

  • Heng Wei

    (Beijing University of Technology, China)

  • Hao Liu

    (PATH Program, The University of California at Berkeley, USA)

  • Zhixia Li

    (Department of Civil & Environmental Engineering, University of Louisville, USA)

Abstract

Vehicle Specific Power (VSP) is conventionally defined to represent the instantaneous vehicle engine power. It has been widely utilized that the impact of vehicle operating conditions on emission and energy consumption estimation is associated with vehicle speed, roadway grade and vehicle acceleration or deceleration on the basis of the second-by-second vehicle operation. VSP is hence incorporated as a key contributing factor into the vehicle emission models in MOVES. For practical application, however, it is always cumbersome to accurately profile VSP distribution by collecting and using localized grade and times-of-day traffic data. Therefore, it is necessary to clarify the impacts of these factors on highway vehicle emission estimation. This paper presents a study in which previous studies are extended by deeply investigating the characteristics of VSP distributions and their impacts due to varying freeway grades, as well as time-of-day traffic factors.

Suggested Citation

  • Zhuo Yao & Ting Zuo & Heng Wei & Hao Liu & Zhixia Li, 2017. "Incorporating Local Road Grades and Times-of-Day Traffic into Vehicle Specific Power Profiling for Urban Freeway Vehicle Emission Estimation," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 7(5), pages 117-127, December.
    • Handle: RePEc:adp:ijesnr:v:7:y:2017:i:5:p:117-127
    DOI: 10.19080/IJESNR.2017.07.555721
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    References listed on IDEAS

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    1. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2017. "Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction," Energy, Elsevier, vol. 119(C), pages 167-177.
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    More about this item

    Keywords

    earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals ; juniper publishers reivew;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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