Vehicle, driver and atmospheric factors in light-duty vehicle particle number emissions.

Jackson, Erick; Aultman-Hall, Lisa; Holmen, Britt; University of Vermont. Transportation Research Center

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Vehicle, driver and atmospheric factors in light-duty vehicle particle number emissions.

2014-06-01
By Jackson, Erick ; Aultman-Hall, Lisa ; Holmen, Britt

[PDF-1.04 MB]

English

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Details:

Creators:

Jackson, Erick ; Aultman-Hall, Lisa ; Holmen, Britt

Jackson, Erick ; Aultman-Hall, Lisa ; Holmen, Britt Less -
Corporate Creators:

University of Vermont. Transportation Research Center
Corporate Contributors:

National Science Foundation (U.S.)
Subject/TRT Terms:

[+]

Data Collection Exhaust Gases Human Factors Light Vehicles Particulates Pollutants Speed Upgrades (Roads)
Publication/ Report Number:

UVM TRC Report # 14-006
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of Vermont. Transportation Research Center
Abstract:

Made possible by the collection of on-board tailpipe emissions data, this research identifies road

and driver factors that are associated with a relatively understudied tailpipe pollutant from light-duty vehicles: ultrafine particle number emissions. High emission events (HEE) of ultrafine

particle number (PN) emissions occurred most frequently at locations with steep upgrades or

locations that required moderate to rapid accelerations (>3 mph/s). The analysis revealed that

less than 2% of the time driving was responsible for almost a third of all ultrafine particles

emitted along the designated 17-mile test route for a sample of 22 drivers. Variables identified

in a generalized linear model as significant to PN emissions include measures of engine speed

(RPM), driver behavior (speed and acceleration rates), and road geometry (grade). These factors

account for approximately 61% of the variability measured. Few modal emissions models

estimate PN emissions; however, this research has revealed that the same predictor variables

used to model gas pollutants are significant predictors of PN emissions. Therefore, the addition

of PN emissions estimates to existing models would require little effort if these relationships

were developed with larger datasets. This project also documented additional challenges related

to on-board PN data collection related to temperature, humidity, and background PN

concentrations. Finally, a large amount of the variation in light-duty PN emissions remains

unexplained, suggesting a need for more comprehensive on-board datasets, including data on

particle size distribution.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:556eec462c74b5a4bb8fbec97d2eda95610bdad140d12e255beaff7cce2146d0
Download URL:

https://rosap.ntl.bts.gov/view/dot/27438/dot_27438_DS1.pdf
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Vehicle, driver and atmospheric factors in light-duty vehicle particle number emissions.

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