Synchronized Signal Control Model for Maximizing Progression along an Arterial
Publication: Journal of Transportation Engineering
Volume 136, Issue 8
Abstract
For the most part, optimal signal timing is the most effective and economical method for mitigating traffic congestion in urban areas. In this study, a new mixed integer nonlinear programming model is proposed to develop an optimal arterial-based progression algorithm. The proposed algorithm is designed to optimize the bandwidths for contiguous signals along a signalized arterial. The traffic conditions for examining the proposed algorithm are extracted from moderate to high saturated traffic conditions. The main objective of the proposed algorithm is to allow traffic to traverse through the maximum number of downstream intersections without a stop. According to measures of effectiveness acquired by TSIS-CORSIM 6, the signal timing generated by the proposed model yields lower stops (%) when compared with the signal timing optimized and generated by Synchro. In addition, the proposed model yields lower network-wide average delays (sec/veh) and higher average travel speeds (km/h) under moderate to high saturated traffic conditions. The performance and applicability of the proposed model have been validated.
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Acknowledgments
This research is dedicated in remembrance of Hsin-Chuan Ku, coauthor, 26-year-old, whose life was cut short by the tragic events of Typhoon Morakot (as known as 88 Typhoon) in Taiwan in August 2009. His dedication and expertise were an essential part of this research. He will not be forgotten.
References
Gartner, N. H., Assmann, S. F., Lasaga, F., and Hou, D. L. (1991). “A multi-band approach to arterial traffic signal optimization.” Transp. Res., Part B: Methodol., 25(1), 55–74.
Gartner, N. H., and Stamatiadis, C. (2002). “Arterial-based control of traffic flow in urban grid networks.” Math. Comput. Model. Dyn. Syst., 35(5–6), 657–671.
Gartner, N. H., and Stamatiadis, C. (2004). “Progression optimization featuring arterial- and route-based priority signal networks.” J. Intell. Transp. Syst., 8, 77–86.
Husch, D., and Albeck, J. (2006). Synchro studio 7, Trafficware, Sugarland, Tex.
Little, J. D. C. (1966). “The synchronization of traffic signals by mixed-integer linear programming.” Oper. Res., 14, 568–594.
National Research Council. (1997). Highway capacity manual, TRB, Washington, D.C.
Pillai, R. S., Rathi, A. K., and Cohenb, S. L. (1998). “A restricted branch-and-bound approach for generating maximum bandwidth signal timing plans for traffic networks.” Transp. Res., Part B: Methodol., 32, 517–529.
Roess, R. P., Prassas, E. S., and Mcshane, W. R. (2004). Traffic engineering, 3rd Ed., Prentice Hall, Englewood Cliffs, N.J.
Stamatiadis, C., and Gartner, N. H., (1996). “Multiband: A program for variable-bandwidth progression optimization of multiarterial traffic networks.” Transp. Res. Rec., 1554, 9–17.
Synchro 6.0 user's manual. (2004). Trafficware, Albany, Calif.
Tian, Z., Mangal, V., and Liu, H. (2008). “Effectiveness of lead-lag phasing on progression bandwidth.” Transp. Res. Rec., 2080, 22–27.
Tian, Z., and Urbanik, T. (2007). “System partition technique to improve signal coordination and traffic progression.” J. Transp. Eng., 133(2), 119–128.
Tsay, H. -S., and Lin, L. -T. (1988). “A new algorithm for solving the maximum progression bandwidth.” Transp. Res. Rec., 1194, 15–30.
Webster, F. V., and Cobbe, B. M. (1966). Traffic signal-Road Research Technical Paper No. 56, HMSO, London.
Yang, X. K. (2001). “Comparison among computer packages in providing timing plans for Iowa Arterial in Lawrence.” J. Transp. Eng., 127(4), 311–318.
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© 2010 ASCE.
History
Received: Mar 6, 2009
Accepted: Oct 12, 2009
Published online: Oct 14, 2009
Published in print: Aug 2010
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