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Estimation of Emissions at Signalized Intersections Using an Improved MOVES Model with GPS Data

Author

Listed:
  • Ciyun Lin

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

  • Xiangyu Zhou

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

  • Dayong Wu

    (Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, TX 79409, USA)

  • Bowen Gong

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

Abstract

Emissions from the transport sector are responsible for a large proportion of urban air pollution. Scientific and efficient measurements on traffic pollution emissions have already been a vital concern of decision makers in environmental protection. In China or other counties, many high-technology companies, such as Baidu, DiDi, have a large number of real-time GPS traffic data, but such data have not been fully exploited, especially in purpose of estimation of vehicle fuel consumption and emissions. In this paper, the traditional MOVES (Motor Vehicle Emission Simulator) model has been improved by adding the real-time GPS data and tested in representative signalized intersection in Changchun, China. The results showed that adding the GPS data sets in the MOVES model can effectively improve the estimation accuracy of traffic emissions and provide a strong scientific basis for environmental decision-making, planning and management.

Suggested Citation

  • Ciyun Lin & Xiangyu Zhou & Dayong Wu & Bowen Gong, 2019. "Estimation of Emissions at Signalized Intersections Using an Improved MOVES Model with GPS Data," IJERPH, MDPI, vol. 16(19), pages 1-15, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3647-:d:271744
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    Cited by:

    1. Sunhee Jang & Ki-Han Song & Daejin Kim & Joonho Ko & Seongkwan Mark Lee & Sabeur Elkosantini & Wonho Suh, 2023. "Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption," Sustainability, MDPI, vol. 15(5), pages 1-14, March.

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