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Proceedings Paper

Vehicle emission sensing and evaluation using the Smog Dog in Houston
Author(s): Lei Yu; Stanley W. Burrier
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Paper Abstract

The advanced remote vehicle emission sensing equipment, Smog Dog, is a cost-effective infrared technology designed to measure the levels of vehicle exhaust. This paper presents and demonstrates a research effort for using the Smog Dog to conduct the on-road vehicle exhaust emission collection in the city of Houston, develop modal sensitive emission models and evaluate the EPA approved MOBILE5A emission factor model. The vehicle emission data collection is designed in a manner that various vehicle's modal events such as the acceleration and deceleration under the on-road driving conditions are considered. The Smog Dog remote mission sensor can not only collect the emission concentrations of hydrocarbon, carbon monoxide and oxide of nitrogen but also simultaneously detect the vehicles' instantaneous speeds and acceleration rates. Thus a vehicle's emission rates, which are converted from the collected emission concentration levels, can be functions of its instantaneous speed and acceleration rate. In addition, the Federal Test Procedure driving cycles are emulated using the emission versus speed profile relationships and the resulted emission rate for a predetermined average driving speed can then be compared with the emission factors produced by MOBILE5A. Since the emission models, that are developed based on the on-road emission data collected using the Smog Dog, naturally reflect the on-road driving conditions and the vehicle fleet combinations, they can potentially be used to evaluate the vehicle exhaust emission implications of various advanced traffic management strategies.

Paper Details

Date Published: 17 February 1997
PDF: 12 pages
Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); doi: 10.1117/12.267148
Show Author Affiliations
Lei Yu, Texas Southern Univ. (United States)
Stanley W. Burrier, Texas Dept. of Transportation (United States)


Published in SPIE Proceedings Vol. 2902:
Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS
Alan C. Chachich; Marten J. de Vries, Editor(s)

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