Modeling of real time exhaust emissions of passenger cars under heterogeneous traffic conditions

Atmospheric Pollution Research

RohitJaikumar¹ 

关键词: Air quality;    Exhaust emissions;    Heterogeneous traffic;    Neural networks;    On-board monitoring;    Real-world emissions prediction;   

DOI  :  10.1016/j.apr.2016.07.011

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

This paper presents the characterization and modeling of exhaust emissions released from the passenger cars on urban roads under heterogeneous traffic conditions. Onboard exhaust emissions measurement were made at selected corridors in a populous urban area of India. Exhaust emissions were characterized for different driving modes classified according to vehicle specific power (VSP). Results indicated that emissions at VSP modes under cruising speeds were 10–12 times less than idling (which is the mode used for emission standard certification), braking and accelerating conditions. Also it has been found that more than 20% of time vehicles were in idling conditions at most of the roads.

【 授权许可】

CC BY