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

Ciyun Lin, Xiangyu Zhou, Dayong Wu and Bowen Gong
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Ciyun Lin: Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
Xiangyu Zhou: Department of Traffic Information and Control Engineering, Jilin University, 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

IJERPH, 2019, vol. 16, issue 19, 1-15

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.

Keywords: traffic pollution; emissions; GPS data; MOVES (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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