International Journal of Environmental Science and Development

Abstract—This paper presents some key points for networked monitoring of urban traffic emissions. Firstly, we introduce the remote sensing devices distributed on the urban roads to measure the emissions of passing vehicles. Secondly, we discuss how to determine the device locations by maximizing the amount of the captured vehicles. Finally, a method to identify high-emitting vehicles is proposed based on broad learning system. The experiment results show the networked monitoring system is able to inspect massive on-road vehicles in a short-term and accurately identify high-emitting vehicles.

Index Terms—High-emitter identification, location strategy, networked monitoring, vehicle emission.

Z. Li, J. Chang, and W. Lv are with the Department of Automation, University of Science and Technology of China, Hefei 230027, China (e-mail: lzerui@mail.ustc.edu.cn, wlv@ustc.edu.cn, cjchange@mail.ustc.edu.cn).
Y. Kang is with the State Key Laboratory of Fire Science, Department of Automation and Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China. He is also with the Key Laboratory of Technology in GeoSpatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China (e-mail: kangduyu@ustc.edu.cn).

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Cite: Zerui Li, Yu Kang, Ji Chang, and Wenjun Lv, "Networked Monitoring of Urban Traffic Emissions," International Journal of Environmental Science and Development vol. 10, no. 4, pp. 110-113, 2019.