Adaptive Signal Control at Isolated Intersections
Publication: Journal of Transportation Engineering
Volume 114, Issue 5
Abstract
The effectiveness of conventional traffic‐actuated control deteriorates rapidly as traffic volume increases. This problem can be alleviated through adaptive control. By monitoring vehicular movements and identifying the most likely short‐term future flow patterns, adaptive control adjusts signal timings in an attempt to optimize signal operations. Both field test and simulation analysis have shown that adaptive control has the potential to provide improved signal operations. Further research is needed to develop a versatile and effective adaptive control logic that can replace traffic‐actuated logics. The primary objective of this paper is to discuss the issues and research needs concerning the development of adaptive control logics for applications at isolated intersections. The discussions are focused on the information needs for adaptive control, the selection between a binary choice process and a sequencing process for timing adjustment, and future research needs. To be widely applicable, an adaptive control logic needs a vehicle‐monitoring system that can provide reliable information and facilitate simultaneous use of real time and advance information for decision making.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Bang, K.‐L. (1976). “Optimal control of isolated traffic signals.” Traffic Eng. Control, 17(7), 288–292.
2.
Carden, P., and McDonald, M. (1985). “The application of SCOOT control to an isolated intersection.” Traffic Eng. Control, 26(6), 304–310.
3.
de la Breteque, L., and Jezequel, R. (1979). “Adaptive control at an isolated intersection—a comparative study of some algorithms.” Traffic Eng. Control, 20(7), 361–363.
4.
Gartner, N. H. (1983). “OPAC: a demand‐responsive strategy for traffic signal control.” Transportation Research Record 906, Transp. Res. Board, Nat. Res. Council, Washington, D.C., 75–81.
5.
Hunt, P. B., et al. (1982). “The SCOOT on‐line‐traffic‐signal optimization technique.” Traffic Eng. Control, 23(4), 190–192.
6.
Lin, F. B. (1988). “A comparative analysis of two logics for adaptive control of isolated intersections,” paper to be presented at the 67th Annual Meeting of Transportation Research Board, Washington, D.C.
7.
Lin, F. B., and Cooke, D. J. (1986). “Potential performance characteristics of adaptive control at individual intersections.” Transportation Research Record 1057, Transp. Res. Board, Nat. Res. Council, Washington, D.C., 30–33.
8.
Lin, F. B., Cooke, D. J., and Vijayakumar, S. (1987). “Use of predicted vehicle arrival information for adaptive signal control—an assessment.” Transportation Research Record 1112, Transp. Res. Board, Nat. Res. Council, Washington, D.C., 89–98.
9.
Lin, F. B., Wang, N., and Vijayakumar, S. (1987). “Development of an intelligent adaptive signal control logic,” paper presented at the Engineering Foundation Conference on Management and Control of Urban Traffic, Henniker, N.H., Jun. 14–19 (to be published).
10.
Miller, A. J. (1963). “A computer control system for traffic network.” Proc., 2nd Int. Symp. on Theory of Road Traffic Flow, London, U.K., 201–220.
11.
Rankin, W. W. (1985). “1984 urban transportation/traffic engineering agency functions and administration study—Part II.” ITE J., 55(12), 23–26.
12.
“Traffic control systems.” (1983). Standards Publication/No. TS1, National Electrical Manufacturers Association, Washington, D.C.
13.
“Traffic control systems handbook.” (1985). FHWA‐IP‐85‐11, U.S. Department of Transportation, Federal Highway Administration, Washington, D.C.
14.
Vincent, R. A., and Young, C. P. (1986). “Self‐optimizing traffic signal control using microprocessors—the TRRL ‘MOVA’ strategy for isolated intersections.” Traffic Eng. Control, 27(7/8), 385–387.
Information & Authors
Information
Published In
Copyright
Copyright © 1988 ASCE.
History
Published online: Sep 1, 1988
Published in print: Sep 1988
Authors
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.