Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published January 2005

Methodology for Developing Transit Bus Speed–Acceleration Matrices for Load-Based Mobile Source Emissions Models

Abstract

An emissions model for transit bus based on road load estimates emissions as a function of transit bus power demand for given transit bus activities and environmental conditions. Transit bus speed and acceleration rates are key activity parameters and are the most important parameters in the estimation of transit bus power demand, also known as engine load. Once the transit bus engine load is calculated for a given speed and acceleration, emissions in grams per vehicle hour can be calculated with grams per brake-horsepower hour emission rates. However, collecting speed and acceleration data on various road types and times of day requires extensive efforts for use in load-based mobile source emissions models. To quantify Atlanta regional transit bus speed and acceleration rates, the Georgia Institute of Technology research team installed trip data in a transit bus operated by the Metropolitan Atlanta Rapid Transit Authority. The team collected second-by-second speed and location data for 3 weeks on a variety of routes and created speed–acceleration matrices by roadway facility type and time of day. This paper focuses on developing a methodology to create transit bus speed–acceleration matrices for use in load-based modal emissions models for the Atlanta metropolitan area. Once a bus service route is specified by roadway facility type and time of day, engine power demand for each speed–acceleration matrix bin can be calculated, weighted by activity frequency on each corresponding matrix bin, and then multiplied by baseline emissions rates that can be obtained from engine dynamometer or chassis dynamometer test results.

Get full access to this article

View all access and purchase options for this article.

References

1. Nam E. K. Proof of Concept Investigation for the Physical Emission Rate Estimator (PERE) for MOVES. Publication EPA420-R-03-005. U.S. Environmental Protection Agency, Washington, D.C., 2003.
2. Hofmann-Wellenhof B., Lichtenegger H., and Collins J. Global Positioning System: Theory and Practice, 3rd ed. Springer-Verlag, New York, 1994.
3. Ogle J., Guensler R., Bachman W., Koutsak M., and Wolf J. Accuracy of Global Positioning System for Determining Driver Performance Parameters. In Transportation Research Record: Journal of the Transportation Research Board, No. 1818, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 12–24.
4. D'Este G., Zito R., and Taylor M. Using GPS to Measure Traffic System Performance. Computer-Aided Civil and Infrastructure Engineering, Vol. 14, 1999, pp. 255–265.
5. Jun J., Guensler R., Ogle J., and Ko J. Reliability Issue of GPS Speed Within Specified Speed Intervals. Georgia Institute of Technology, Atlanta, 2005, forthcoming.
6. Transportation Solutions for a New Century Appendix 4: Model Documentation. Atlanta Regional Commission, Atlanta, Ga., Oct. 23, 2002.
7. Steede-Terry K. Integrating GIS and the Global Positioning System. ESRI Press, Redlands, Calif., 2001.
8. Hurn J. GPS: A Guide to the Next Utility. Trimble, Sunnyvale, Calif., 1993.
9. Ogle J. Quantifying Driver Speed Behavior: Estimating Risk Through Vehicle Instrumentation. Ph.D. dissertation. Georgia Institute of Technology, Atlanta, 2004.
10. Li H. Investing Drivers’ Morning Commute Route Choice Behavior Using Global Positioning Systems Based Multi-Day Travel Data. Ph.D. thesis. Georgia Institute of Technology, Atlanta, 2005.
11. Grant C. D. Representative Vehicle Operating Mode Frequencies: Measurement and Prediction of Vehicle Specific Freeway Modal Activity. Ph.D. thesis. Georgia Institute of Technology, Atlanta, 1998.
12. Burden R. L., and Faires J. D. Numerical Analysis, 4th ed. PWS-KENT Publishing Company, Boston, Mass., 1989.
13. Radial Truck Tire & Retread Service Manual. Goodyear Tire & Rubber Company, Akron, Ohio, 2003, pp. 64–79.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published: January 2005
Issue published: January 2005

Rights and permissions

© 2005 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Seungju Yoon
Air Quality Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332-0355.
Hainan Li
Air Quality Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332-0355.
Jungwook Jun
Air Quality Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332-0355.
Jennifer H. Ogle
Civil Engineering Department, Clemson University, Clemson, SC 29634.
Randall L. Guensler
Air Quality Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332-0355.
Michael O. Rodgers
Air Quality Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332-0355.

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 29

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 3

  1. Urban–rural inequalities in spatial accessibility to prenatal care: a ...
    Go to citation Crossref Google Scholar
  2. Assessment of alternative fuel and powertrain transit bus options usin...
    Go to citation Crossref Google Scholar
  3. A Vehicle-Specific Power Approach to Speed- and Facility-Specific Emis...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub