Interactive Process of Microsimulation and Logistic Regression for Short-Term Work Zone Traffic Diversion
Publication: Journal of Transportation Engineering
Volume 136, Issue 3
Abstract
The rapidly growing number of work zones on national highways is having significant operational impacts due to the temporary loss of capacity. Work zone impact on safety and mobility creates a strong need to alleviate work zone congestion and protect road users and workers, which requires a sufficient understanding of work zone impact on traffic flow. Previous studies and field observations demonstrated the importance of considering diversion phenomena when performing work zone impact analysis. To overcome the limitations of deterministic queuing approaches applied in most work zone impact analysis tools, an interactive process combining microsimulation and logistic regression was developed to imitate diversion behavior dynamically in the upstream of work zones with a number of entrance and exit ramps. Specifically, the logistic regression model based on the field observations was incorporated into a well-calibrated VISSIM model to simulate traffic flow in work zones with diversion behavior. The integration of the two models was achieved via the development of diversion calculation module using a COM interface provided by VISSIM. The comparison between simulated results and field observations suggested that the diversion calculation module using logistic regression can simulate the queue propagation process due to lane closure in an efficient and effective manner. It was demonstrated that the interactive process can improve work zone impact analysis by using real-time traffic feedback information to emulate the diversion phenomenon upstream of work zones.
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Acknowledgments
Funding for this project was provided by the Wisconsin Department of Transportation Bureau of Highway Operations. The writers thank TOPS Laboratory staff who assisted with the field data collection. The contents in the paper reflect the views of the writers and do not necessarily reflect the official views of the Wisconsin Department of Transportation.
References
Beacher, A. G., Fontaine, M. D., and Garber, N. J. (2005). “Guidelines for using late merge work zone traffic control: Results of a simulation-based study.” Transp. Res. Rec., 1911, 42–50.
Benekohal, R. F., Ahmed-Zameem, K. -M., and Chitturi, M. V. (2003). “Evaluation of construction work zone operational issues: Capacity, queue, and delay.” Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
Berkson, J. (1944). “Application of the logistic function to bio-assay.” J. Am. Stat. Assoc., 39, 357–365.
Carlson, P. J., Fontaine, M. D., and Hawkins, H. G. (2000). “Evaluation of traffic control devices for rural high-speed maintenance work zones.” Research Rep. No. FHWA/TX-00/1879-1, Texas Transportation Institute, College Station, Tex.
Chu, L., Kim, H., Liu, H., and Recker, W. (2005). “Evaluation of traffic delay reduction from automatic workzone information systems using micro-simulation.” Proc., Transportation Research Board 2005 Annual Meeting (CD-ROM), TRB, National Research Council, Washington, D.C.
Copeland, L. (1998). “User’s manual for QUEQZ-98.” Texas Transportation Institute, Rep. No. 1745-2. TTI The Texas A&M University System College Station, Tex.
Curtis, D. (2001). “QuickZone.” Public Roads, 65(1).
Garber, N. J., and Srinivasan, S. (1998). “Influence of exposure duration on the effectiveness of changeable message signs in controlling vehicle speeds at work zones.” Transp. Res. Rec., 1650, 62–70.
Horowitz, A. J., Weisser, I., and Notbohm, T. (2003). “Diversion from a rural work zone with traffic-responsive variable message signage system.” Transp. Res. Rec., 1824, 23–28.
Hosmer, D. W., and Lemeshow, S. (2000). Applied logistic regression, 2nd Ed., Wiley, New York.
Kang, K. -P., Chang, G. -L., and Jawad, P. (2006). “Dynamic late merge control at highway work zones: Evaluation, observations, and suggestion.” Transp. Res. Rec., 1948, 86–95.
Maze, T., and Kamyab, A. (1999). “Work zone simulation model.” Companion Rep. Prepared for “Traffic Management Strategies for Merge Areas in Rural Interstate Work Zones,” Center for Transportation Research and Education Iowa State Univ., Iowa State Univ. Research Park, Iowa.
Nemeth, Z. A., and Rouphail, N. M. (1982). “Lane closures at freeway work zones: Simulation study.” Transp. Res. Rec., 869, 9–25.
Noel, E. C., Dudek, C. L., Pendletan, O. J., and Sabra, Z. A. (1988). “Speed control through freeway work zones: Techniques evaluation.” Transp. Res. Rec., 1163, 31–42.
Park, B., and Yadlapati, S. (2003). “Development and testing of variable speed limit logics at work zones using simulation.” Proc., Transportation Research Board 2003 Annual Meeting (CD-ROM), TRB, National Research Council, Washington, D.C.
Peeta, S., Ramos, J. L., and Gedela, S. (2000). Providing real-time traffic advisory and route guidance to manage Borman incidents on-line using the Hoosier helper program, Purdue University, School of Civil Engineering, West Lafayette, Ind.
Richards, S. H., Wunderlich, R. C., and Dudek, C. L. (1985). “Field evaluation of work zone speed control techniques.” Transp. Res. Rec., 1035, 66–78.
Russell, J. S., Anderson, S. D., Terjo, D., and Hanna, A. S. (2002). “NCHRP Web Document 51 (Project D10-58): Construction engineering and management research program.” Transportation Research Board, National Research Council, Washington, D.C.
Saag, J. B. (1999). “NCHRP Synthesis of Highway Practice 273: Project development methodologies for reconstruction of urban freeways and expressways.” Transportation Research Board, National Research Council, Washington, D.C.
Seber, G. A. F., and Lee, A. J. (2003). Linear regression analysis, Wiley, New York.
Tarko, A., Kanipakapatman, S., and Wasson, J. (1998). “Manual of the Indiana Lane merge control system.” Final Rep. No. FHWA/IN/JTRP-97/12, Indiana Department of Transportation and Purdue University, West Lafayette, Ind.
Ullman, G. L. (1996). “Queuing and natural diversion at short-term freeway work zone lane closures.” Transp. Res. Rec., 1529, 19–26.
Ullman, G. L., and Dudek, C. L. (2003). “Theoretical approach to predicting traffic queues at short-term work zones on high-volume roadways in urban areas.” Transp. Res. Rec., 1824, 29–36.
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Published In
Journal of Transportation Engineering
Volume 136 • Issue 3 • March 2010
Pages: 243 - 254
Copyright
© 2010 ASCE.
History
Received: Sep 8, 2008
Accepted: Jul 17, 2009
Published online: Feb 12, 2010
Published in print: Mar 2010
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