Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality

Yuhan Huang, Casey K.C. Lee, Yat Shing Yam, Wai Chuen Mok, John L. Zhou, Yuan Zhuang, Nic C. Surawski, Bruce Organ, Edward F.C. Chan

Research output: Journal PublicationArticlepeer-review

55 Citations (Scopus)

Abstract

Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of high-emitting vehicles as an enforcement program for improving urban air quality. Using large emission datasets from chassis dynamometer testing, RS, and air quality monitoring, we found that significant percentages of in-use petrol and LPG vehicles failed the emission standards, particularly the high-mileage fleets. The RS enforcement program greatly cleaned these fleets, in terms of high-emitter percentages, fleet average emissions, roadside and ambient pollutant concentrations, and emission inventory. The challenges of the current enforcement program are conservative setting of cut points, single-lane measurement sites, and lack of application experience in diesel vehicles. Developing more accurate and vertical RS systems will improve and extend their applications.

Original languageEnglish
Article numbereabl7575
JournalScience advances
Volume8
Issue number5
DOIs
Publication statusPublished - Feb 2022
Externally publishedYes

ASJC Scopus subject areas

  • General

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