Technical Papers
Sep 15, 2014

Contribution of Aggressive Drivers to Automobile Tailpipe Emissions under Acceleration and Braking Conditions

Publication: Journal of Transportation Engineering
Volume 141, Issue 2

Abstract

A small fraction of the vehicle fleet produces a large ratio of the total mobile source emissions or the total fuel consumption due to different patterns of driving behavior based on driver characteristics. The Next Generation Simulation (NGSIM)—Federal Highway Administration (FHWA) trajectory data were used to compare the driving patterns of drivers under congested and uncongested conditions. Drivers were statistically classified into three groups; aggressive, moderate, and defensive drivers based on degree of strength of pushing pedals: gas pedal or brake. Accelerating and braking events, named as process, were counted, and strength of pushing pedal was measured in each process. In this paper, the measured strength of pushing pedal is named as target operating acceleration. Then, the emissions and the fuel consumption of each vehicle were estimated using the Virginia Tech Microscopic energy and emission model (VTMicro) model, which consequently provided the comparison of the emissions and fuel consumption of each driver group. The comparative statistical analyses indicate that aggressive drivers, who frequently used stronger acceleration pedal than other drivers, emitted more hydro carbon (HC), carbon monoxide (CO), and oxides of nitrogen (NOx), particularly under uncongested traffic conditions. The results also indicate that if aggressive drivers change their driving pattern to be defensive, the emissions are expected to decrease by 15.1% of HC, 20.8% of CO, and 16.7% of NOx under uncongested condition.

Get full access to this article

View all available purchase options and get full access to this article.

References

Ahn, K., Rakha, H., and Trani, A. (2004). “VT-micro framework for modeling of high-emitting vehicles.”, Transportation Research Board, 39–49.
Barth, M., An, F., Norbeck, J., and Ross, M. (1996). “Modal emissions modeling: A physical approach.”, Transportation Research Board, 81–88.
Cambridge Systematics. (2005a). “NGSIM I-80 data analysis (4:00 p.m. to 4:15 p.m.) Summary Report, Federal Highway Administration.” 〈http://ngsim-community.org/〉 (Jan. 21, 2012).
Cambridge Systematics. (2005b). “NGSIM I-80 data analysis (5:00 p.m. to 5:15 p.m.) Summary Report, Federal Highway Administration.” 〈http://ngsim-community.org/〉 (Jan. 21, 2012).
Cambridge Systematics. (2005c). “NGSIM I-80 data analysis (5:15 p.m. to 5:30 p.m.) Summary Report, Federal Highway Administration.” 〈http://ngsim-community.org/〉 (Jan. 21, 2012).
Cambridge Systematics. (2005d). “Next generation simulation program: Vehicle trajectory file data dictionary.” Federal Highway Administration, 〈http://ngsim-community.org/〉 (Jan. 21, 2012).
Federal Highway Administration. (2004). “Next generation simulation program.” 〈http://ngsim-community.org/〉 (Jan. 2012).
Greenwood, I. D., Dunn, R. C. M., and Raine, R. R. (2007). “Estimating the effects of traffic congestion on fuel consumption and vehicle emissions based on acceleration noise.” J. Transp. Eng., 96–104.
IntelliDrive Michigan Tested. (2010). “Documentation of on-board equipment files from the IntelliDrive Michigan test bed.” 〈https://datacapture.noblis.org/〉 (Oct. 2011).
International Energy Agency (IEA). (2006). CO2 emissions from fuel combustion 1971-2004, Paris, 596.
Lee, C., Saxena, M., and Lin, P.-S. (2010). “Aggressive driving and safety campaigns: Lessons learned from better driver campaign.”, Transportation Research Board, 79–87.
Ma, X., and Andréasson, I. (2007). “Statistical analysis of driver behavior data in different regimes of the car-following stage.”, Transportation Research Board, 87–96.
Miles, D. E., and Johnson, G. L. (2003). “Aggressive driving behaviors: Are there psychological and attitudinal predictors.” Transp. Res. Part F, 6(2), 147–161.
Mizell, L. (1997). “Road Rage: Causes and dangers of aggressive driving: Hearing before the subcommittee on surface transportation of the committee on transportation and infrastructure.” U.S. House of Representatives, 105th Congress, 1st Session, 〈http://commdocs.house.gov/committees/Trans/hpw105-34.000/hpw105-34_0.htm〉 (Aug. 20, 2014).
National Highway Traffic Safety Administration. (2001). “Strategies for aggressive driver enforcement.” 〈www.nhtsa.dot.gov/people/injury/enforce/agressdrivers/intro.html〉 (May 20, 2001).
Pataki, G. (1998). “Governor Pataki announces legislation to Fight Road Rage.” New York State Government Press Release, 〈www.state.ny.us/governor/press/feb1998.html〉 (Jul. 23, 1999).
Rakha, H., and Ahn, K. (2004). “Integration modeling framework for estimating mobile source emissions.” J. Transp. Eng., 183–193.
Rakha, H., Ahn, K., and Trani, A. (2004). “The VT-micro framework for modeling of hot stabilized light duty vehicle and truck emissions.” Transp. Res. Part D: Transp. Environ., 9(1), 49–74.
Rakha, H. A., Ahn, K., Moran, K., Saerens, B., and Bulck, E. V. D. (2011). “Virginia tech comprehensive power-based fuel consumption model: Model development and testing.” Transp. Res. Part D, 16(7), 492–503.
Scora, G., and Barth, M. (2006). Comprehensive model emission model (CMEM) users guide version 3.01, Univ. of California, Riverside Center for Environmental Research and Technology, Riverside, CA, 1–56.
Thiemann, C., Treiber, M., and Kesting, A. (2008). “Estimating acceleration and lane-changing dynamics from next generation simulation trajectory data.”, Transportation Research Board, 90–101.
Treiber, M., Kesting, A., and Thiemann, C. (2008). “How much does traffic congestion increase fuel consumption and emission? Applying a fuel consumption model to NGSIM trajectory data.” 87th TRB Annual Meeting CD-ROM, Transportation Research Board of the National Academies, Washington, DC.
Vanlaar, W., Simpson, H., and Robertson, R. (2008). “Aggressive driving: A survey of attitudes, opinions and behaviors.” J. Saf. Res., 39(4), 375–381.
Wang, J., Lu, M., and Keqiang, L. (2010). “Characterization of longitudinal driving behavior by measurable parameters.”, Transportation Research Board, 15–23.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 141Issue 2February 2015

History

Received: Mar 23, 2012
Accepted: Jul 21, 2014
Published online: Sep 15, 2014
Published in print: Feb 1, 2015
Discussion open until: Feb 15, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

Antoine G. Hobeika, Ph.D. [email protected]
Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061. E-mail: [email protected]
Heejin Jung, Ph.D. [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061 (corresponding author). E-mail: [email protected]
Sanghoon Bae, Ph.D. [email protected]
Associate Professor, Dept. of Spatial Information Engineering, Pukyong National Univ., 599-1 Daeyeon 3-Dong, Nam-Gu, Busan 608-737, South Korea. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share