Technical Papers
Apr 28, 2012

Development of a VISSIM Simulation Model for U-Turns at Unsignalized Intersections

Publication: Journal of Transportation Engineering
Volume 138, Issue 11

Abstract

The simulation of U-turns is currently of great interest to many transportation professionals due to the widespread use of indirect driveway left-turn treatments. In this study, a procedure was proposed to help transportation professionals model U-turn movements at unsignalized intersections with nontraversable median cross sections in the traffic simulation program VISSIM. The behavioral features of U-turning drivers, such as the priority rule, lane selection, and turning speed of U-turns, were determined using data collected from 13 different locations. A procedure based on a genetic algorithm was proposed to calibrate and validate the VISSIM simulation model. The simulation results of the calibrated VISSIM model were compared to field measured capacity and to the capacity estimated using gap acceptance models developed in previous studies. The calibrated VISSIM simulation model yields mean absolute percent errors of 17.6 and 20.7% for four-lane and six-lane streets, respectively. The results show that VISSIM provides reasonable capacity estimates for U-turns at unsignalized intersections with raised median cross sections, after crucial parameters are properly defined and calibrated.

Get full access to this article

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

Acknowledgments

This research was jointly sponsored by the National Natural Science Foundation of China (Grant No. 505908050) and the National High-tech R&D Program of China (Grant No. 2011AA110303-03). The authors also would like to thank the graduate research assistant at the School of Transportation at the Southeast University for their assistance in field data collection.

References

Aleksandar, S., and Peter, T. M. (2008). “Split-cycle offset optimization technique and coordinated actuated traffic control evaluated through microsimulation.”, Transportation Research Board, Washington, DC.
Bared, J., and Kaisar, E. I. (2002). “Median U-turn design as an alternative treatment for left turns at signalized intersections.” J. ITE, 72(2), 50–54.
Beasley, D., Bull, D. R., and Martin, R. R. (1993). “An overview of genetic algorithms. Part I. Fundamentals.” Univ. Comput., 15(2), 58–69.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, Reading, MA.
Halim, C., and Michael, G. H. B. (2005). “Genetic algorithm solution for the stochastic equilibrium transportation networks under congestion.” Transp. Res. Part B, 39(2), 169–185.
Harders, J. (1968). “The capacity of unsignalized urban intersections.” Schriftenreihe Strassenbau Strassenverkehrstechnik, 76.
Hummer, E. J., and Boone, J. (1997). “Travel efficiency of unconventional suburban arterial intersection designs.”, Transportation Research Board, Washington, DC.
Kyte, M., Clemow, C., Mahfood, N., Lall, B. K., and Khisty, C. J. (1992). “Capacity and delay characteristics of two-way stop-controlled intersections.”, Transportation Research Board, Washington, DC.
Liu, P., Lu, J., and Cao, B. (2009). “Capacity of U-turns at median openings on six-lane streets.”, Transportation Research Board, Washington, DC.
Liu, P., Lu, J., Hu, F., and Sokolow, G. (2008a). “Capacity of U-turn movement at median openings on multilane highways.” J. Transp. Eng., 134(4), 147–154.
Liu, P., Pan, T., Lu, J., and Cao, B. (2008b). “Estimating capacity of U-turns at unsignalized intersections: The conflicting traffic volume, the impedance effects, and the left-turn lane capacity.”, Transportation Research Board, Washington, DC.
Liu, P., Wang, X., Lu, J., and Sokolow, G. (2007). “Headway acceptance characteristics of U-turning vehicles on 4-lane divided roadways.”, Transportation Research Board, Washington, DC.
Transportation Research Board (TRB). (2010). Highway capacity manual, National Council, Washington, DC.
Topp, A., and Hummer, J. E. (2005). “Comparison of two median U-turn design alternatives using microscopic simulation.” Proc., 3rd Int. Symp. on Highway Geometric Design, Transportation Research Board, Washington, DC.
VISSIM 4.0 [Computer software]. Planung Transport Verkehr AG (PTV), Karlsruhe, Germany.
Yang, X. K., and Zhou, H. G. (2004). “CORSIM-based simulation approach to evaluation of direct left turn versus right turn plus U-turn from driveways.” J. Transp. Eng., 130(1), 68–75.
Yimin, T., and Steven, I. C. (2008). “Scheduling work zones for highway maintenance projects: Considering a discrete time-cost relation.”, Transportation Research Board, Washington, DC.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 138Issue 11November 2012
Pages: 1333 - 1339

History

Received: Jul 7, 2011
Accepted: Apr 25, 2012
Published online: Apr 28, 2012
Published in print: Nov 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

Pan Liu, Ph.D. [email protected]
Professor, School of Transportation, Southeast Univ., #2 Si Pai Lou, Nanjing 210096, China (corresponding author). E-mail: [email protected]
Graduate Research Assistant, School of Transportation, Southeast Univ., #2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Graduate Research Assistant, School of Transportation, Southeast Univ., #2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Wei Wang, Ph.D. [email protected]
Professor, School of Transportation, Southeast Univ., #2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of South Florida, 4202 E. Fowler Ave. ENB118, Tampa, FL 33620. 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