TECHNICAL PAPERS
Jun 14, 2011

Determining Lane Use Distributions Using Basic Freeway Segment Density Measures

Publication: Journal of Transportation Engineering
Volume 138, Issue 2

Abstract

Lane use distribution is a useful factor in understanding the lane-by-lane variations of speed and volume on freeways. The most common lane distribution measure has been traffic volume. However, because travel speed from two conditions—congested and uncongested—corresponds to one traffic volume, this measure may provide a misleading or inaccurate assessment. This study used density measures to uniquely match traffic conditions (e.g., congestion level) and investigated lane use distributions in 2-, 3-, and 4-lane basic segments of freeways. In addition to the lane use distributions under uncongested to transition conditions, which has been addressed by previous research efforts, this study investigated lane use distributions under transition to congested conditions. A series of regression models was developed to predict lane use distributions of individual lanes that could provide information for monitoring traffic conditions and possibly predict when and how traffic breakdown would occur from a given condition. Statistical tests showed that the developed regression models from one site could be applicable to other sites that have similar roadway conditions, operational characteristics, and traffic regulations (e.g., posted speed limit).

Get full access to this article

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

Acknowledgments

The authors would like to express our sincere gratitude to Mr. Stephen Griffin for his proofreading efforts and to anonymous reviewers for their invaluable input.

References

Amin, M. R., and Banks, J. H. (2005). “Variation in freeway lane use patterns with volume, time of day, and location.” Transportation Research Record 1934, Transportation Research Board, Washington, DC, 132–139.
Banks, J. H. (2006). “Effect of time gaps and lane use distributions on freeway bottleneck capacity.” Transportation Research Record 1965, Transportation Research Board, Washington, DC, 3–11.
Brilon, W., and Ponzle, M. (1996). “Variability of speed-flow relationships on German autobahns.” Transportation Research Record 1555, Transportation Research Board, Washington, DC, 91–98.
Carter, M., Rakha, H., and van Aerde, M. (1999). “Variability of traffic-flow measures across freeway lanes.” Canadian J. Civil Eng., 26(3), 270–281.
Daganzo, C. F. (2002). “A behavioral theory of multi-lane traffic flow part I: Long homogeneous freeway sections.” Transp. Res. Part B 36, 36(2), 131–158.
Hong, S., and Oguchi, T. (2008). “Lane use and speed-flow relationship on basic segments of multilane motorways in japan.” Proc., 87th Annual Meeting, Transportation Research Board, Washington, DC.
Hurdle, V. F., Merlo, M. I., and Robertson, D. (1997). “Study of speed-flow relationships on individual freeway lanes.” Transportation Research Record 1591, Transportation Research Board, Washington, DC, 7–13.
May, A. (1990). Traffic flow fundamentals, Prentice-Hall, Englewood Cliffs, NJ.
Montgomery, D., and Runger, G. (2003). Applied statistics and probability for engineers, 3rd Ed., Wiley, New York.
Moriarty, D., and Langley, P. (1998). Distributed learning of lane-selection strategies for traffic management, Technical Rep. 98-2, Daimler-Benz Research & Technology Center, Palo Alto, CA.
Rakha, H., and Crowther, B. (2002). “A comparison of greenshields, pipes, and van Aerde car-following and traffic stream models.” Transportation Research Record 1802, Transportation Research Board, Washington, DC, 248–262.
Rakha, H., and Zhang, W. (2005). “Estimating traffic stream space mean speed and reliability from dual- and single-loop detectors.” Transportation Research Record 1925, Transportation Research Board, Washington, DC, 38–47.
Shankar, V., and Mannering, F. (1998). “Modeling the endogeneity of lane-mean speeds and lane-speed deviations: A structural equations approach.” Transp. Res. Part A, 32(5), 311–322.
Smith, B. L., and Conklin, J. H. (2002). “Use of local lane distribution patterns to estimate missing data values from traffic monitoring systems.” Transportation Research Record 1811, Transportation Research Board, Washington, DC, 50–56.
Transportation Research Board (TRB). (2000). Highway capacity manual, Washington, DC.
Wang, X-Y., and Liu, J-S. (2005). “Research of the lane utilization with microsimulation.” Proc., Int. Conf. Machine Learning and Cybernetics, 5, IEEE, New York, 2681–2687.
Wu, N. (2006). “Equilibrium of lane use distribution on motorways.” Transportation Research Record 1965, Transportation Research Board, Washington, DC, 48–59.
Yang, X., Xhang, N., and Gao, Z. (2008). “Changes in traffic characteristics affected by number of lanes on freeways.” Proc., 87th Annual Meeting, Transportation Research Board, Washington, DC.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 138Issue 2February 2012
Pages: 210 - 217

History

Received: Jun 22, 2010
Accepted: Jun 10, 2011
Published online: Jun 14, 2011
Published in print: Feb 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

Senior Modeling Systems Analyst, Virginia Dept. of Transportation, Transportation Mobility and Planning Division, 1401 East Broad St., Richmond, VA 23219 (corresponding author). E-mail: [email protected]; [email protected]
Byungkyu Brian Park, M.ASCE [email protected]
Associate Professor, 351 McCormick Rd., P.O. Box 400742, Dept. of Civil and Environmental Engineering, Univ. of Virginia, Charlottesville, VA 22904-4742. 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