Fine-grained vehicle emission management using intelligent transportation system data

Environmental Pollution
Shaojun ZhangHonglei Xu

Abstract

The increasing adoption of intelligent transportation system (ITS) data in smart-city initiatives worldwide has offered unprecedented opportunities for improving transportation air quality management. In this paper, we demonstrate the effective use of ITS and other traffic data to develop a link-level and hourly-based dynamic vehicle emission inventory. Our work takes advantage of the extensive ITS infrastructure deployed in Nanjing, China (6600 km2) that offers high-resolution, multi-source traffic data of the road network. Improved than conventional emission inventories, the ITS data empower the strength of revealing significantly temporal and spatial heterogeneity of traffic dynamics that pronouncedly impacts traffic emission patterns. Four urban districts account for only 4% of the area but approximately 30%-40% of vehicular emissions (e.g., CO2 and air pollutants). Owing to the detailed resolution of road network traffic, two types of emission hotspots are captured by the dynamic emission inventory: those in the urban area dominated by urban passenger traffic, and those along outlying highway corridors reflecting inter-city freight transportation (especially in terms of NOX). Fine-grained quantification of emissions reduct...Continue Reading

References

Aug 16, 2012·Environmental Science & Technology·Kevin R GurneyMichel Abdul-Massih
Sep 19, 2016·The Science of the Total Environment·Ye WuSvetlana Stevanovic
Dec 14, 2016·Environmental Science & Technology·Wenwei KeJiming Hao

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Citations

Dec 11, 2019·International Journal of Environmental Research and Public Health·Beibei ZhangAnd Peng Peng
Mar 7, 2021·Environmental Pollution·Shaojun ZhangYe Wu
Jun 6, 2021·Journal of Environmental Management·Shifen ChengJi Zheng
Jul 17, 2021·Environmental Science & Technology·Nikhil Rastogi, H Christopher Frey
Jul 9, 2021·Environmental Science and Pollution Research International·Yu QianJeffrey Yi-Lin Forrest

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