Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2009

Improvements to On-Road Emission Modeling of Freeways with High-Occupancy Vehicle Facilities

Abstract

Because high-occupancy vehicle (HOV) facilities have become an integral part of the freeway systems in many parts of the United States, transportation practitioners must estimate emissions from these facilities accurately. This study examined the differences between HOV and mixed-flow (MF) lanes relative to their traffic dynamics as described by speed and acceleration profiles of the collected driving trajectory data, as well as to their vehicle fleet composition. It was found that the model year distributions of vehicles in the two lane types at selected locations were not significantly different. However, the differences in speed, acceleration, and road load power of their driving data samples were statistically significant at each of the six levels of congestion tested (i.e., Levels of Service A through F). Hence, lane correction factors were developed for adjusting freeway emission factors to result in emission factors specific for an HOV lane. These correction factors have higher impacts on HOV emission rates of carbon monoxide (CO) and carbon dioxide (CO2) than of hydrocarbon (HC) and oxides of nitrogen (NOx). For CO and CO2, the impact can be as much as 30% and 10%, respectively, at very low speed. The difference between NOx emission rates of HOV and MF lanes is less than 5%. HC emission rates for HOV lanes are different from those for MF lanes by merely ±2%. These lane correction factors can be used to improve the accuracy of emission analyses for freeways with HOV facilities.

Get full access to this article

View all access and purchase options for this article.

References

1. EMFAC2007 Version 2.30 User's Guide: Calculating Emission Inventories for Vehicles in California. California Air Resources Board, Sacramento, 2007.
2. User's Guide to MOBILE6.1 and MOBILE6.2: Mobile Source Emission Factor Model. EPA420-R-03-010. U.S. Environmental Protection Agency, Ann Arbor, Mich., Aug. 2003.
3. Sebate S. EMFAC Modeling Change Technical Memo: Facility Specific Allocation Factors. California Air Resources Board, Sacramento, 2005.
4. Fuhs C., and Obenberger J. Development of High-Occupancy Vehicle Facilities: Review of National Trends. In Transportation Research Record: Journal of the Transportation Research Board, No. 1781, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 1–9.
5. Barth M., An F., Younglove T., Scora G., Levine C., Ross M., and Wenzel T. NCHRP Web-Only Document 122: Development of a Comprehensive Modal Emissions Model. Transportation Research Board of the National Academies, Washington, D.C., April 2000. http://onlinepubs.trb.org/onlinepubs/nchrp/nchrp_w122.pdf.
6. Rakha H., Ahn K., and Trani A. Development of VT-MICRO Model for Estimating Hot-Stabilized Light Duty Vehicle and Truck Emissions. Transportation Research Part D, Vol. 9, No. 1, 2004, pp. 49–74.
7. Boriboonsomsin K., and Barth M. Impacts of Freeway High-Occupancy Vehicle Lane Configuration on Vehicle Emissions. Transportation Research Part D, Vol. 13, No. 2, 2008, pp. 112–125.
8. Skowronek D. A., Ranft S. E., and Cothron A. S. An Evaluation of Dallas Area HOV Lanes: Year 2002. TX-02/4961-6. Texas Department of Transportation, Austin, Aug. 2002.
9. Parsons Brinckerhoff Study Team. HOV Performance Program Evaluation Report. Los Angeles County Metropolitan Transportation Authority, Calif., Nov. 22, 2002.
10. Regional High-Occupancy Lane System Performance Study: Final Summary Report. Southern California Association of Governments, Los Angeles, Nov. 4, 2004.
11. Nee J., Ishimaru J., and Hallenbeck M. E. HOV Lane Performance Monitoring: 2002 Report—Volume 1. WA-RD 584.2. Washington State Department of Transportation, Olympia, June 2004.
12. Malcolm C., Younglove T., Barth M., and Davis N. Mobile-Source Emissions: Analysis of Spatial Variability in Vehicle Activity Patterns and Vehicle Fleet Distributions. In Transportation Research Record: Journal of the Transportation Research Board, No. 1842, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 91–98.
13. Morey J. E., Limanond T., and Niemeier D. A. Validity of Chase Car Data Used in Developing Emissions Cycles. Journal of Transportation and Statistics, Vol. 3, No. 2, 2000, pp. 15–28.
14. 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.
15. Wei H., Feng C., Meyer E., and Lee J. Video-Capture-Based Approach to Extract Multiple Vehicular Trajectory Data for Traffic Modeling. Journal of Transportation Engineering, Vol. 131, No. 7, 2005, pp. 496–505.
16. Esteves-Booth A., Muneer T., Kirby H., Kubie J., and Hunter J. The Measurement of Vehicular Driving Cycle within the City of Edinburgh. Transportation Research Part D, Vol. 6, 2001, pp. 209–220.
17. Lin J., and Niemeier D. A. Regional Driving Characteristics, Regional Driving Cycles. Transportation Research Part D, Vol. 8, 2003, pp. 361–381.
18. Boriboonsomsin K., and Barth M. J. Evaluating Air Quality Benefits of Freeway High-Occupancy Vehicle Lanes in Southern California. In Transportation Research Record: Journal of the Transportation Research Board, No. 2011, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 137–147.
19. Jiménez J. L., McClintock P., McRae G. J., Nelson D. D., and Zahniser M. S. Vehicle Specific Power: A Useful Parameter for Remote Sensing and Emission Studies. Proc., 9th CRC On-Road Vehicle Emissions Workshop, San Diego, Calif., 1999.
20. Stoeckenius T. E., Pollack A. K., and Carlson T. Speed Correction Factor Improvement Study, Estimating Sample Size Requirements for the Chase Car Study. Sierra Research and the California Department of Transportation, Sacramento, 2000.
21. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
22. Choe T., Skabardonis A., and Varaiya P. Freeway Performance Measurement System: Operational Analysis Tool. In Transportation Research Record: Journal of the Transportation Research Board, No. 1811, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 67–75.
23. Ko J., Guensler R., and Hunter M. P. Variability in Traffic Flow Quality Experienced by Drivers: Evidence from Instrumented Vehicles. In Transportation Research Record: Journal of the Transportation Research Board, No. 1988, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 1–9.
24. Amin M. R., and Banks J. H. Variation in Freeway Lane Use Patterns with Volume, Time of Day, and Location. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 132–139.
25. Carlson T. R., and Austin T. C. Development of Speed Correction Cycles. SR-97-04-01. U.S. Environmental Protection Agency, Sacramento, Calif., April 30, 1997.
26. Baringhaus L., and Franz C. On a New Multivariate Two-Sample Test. Journal of Multivariate Analysis, Vol. 88, 2004, pp. 190–206.
27. Conover W. J. Practical Nonparametric Statistics. John Wiley and Sons, New York, 1971.
28. Motor Vehicle Emission Simulator Highway Vehicle Implementation (MOVES-HVI) Demonstration Version: Software Design and Reference Manual. EPA420-P-07-001, U.S. Environmental Protection Agency, Ann Arbor, Mich., Feb. 2007.

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 online: January 1, 2009
Issue published: January 2009

Rights and permissions

© 2009 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Kanok Boriboonsomsin
College of Engineering–Center for Environmental Research and Technology, University of California at Riverside, 1084 Columbia Avenue, Riverside, CA 92507.
Matthew Barth
College of Engineering–Center for Environmental Research and Technology, University of California at Riverside, 1084 Columbia Avenue, Riverside, CA 92507.
Karen Xu
Statistical Consulting Collaboratory, University of California at Riverside, Statistics Computer Building, Room 2601, Riverside, CA 92521.

Notes

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: 14

*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: 2

  1. Microscopic Traffic Simulation Calibration Level for Reliable Estimati...
    Go to citation Crossref Google Scholar
  2. How Does the Change of Carbon Dioxide Emissions Affect Transportation ...
    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