NDLI: Determination of optimal successor function in phase-based control using neural network

Content Provider	IEEE Xplore Digital Library
Author	Wong, S.C. Law, W.H. Tong, C.O.
Copyright Year	1996
Description	Author affiliation: Dept. of Civil & Structural Eng., Hong Kong Univ., Hong Kong (Wong, S.C.)
Abstract	A phase-based method for fixed-time signal control of traffic improves significantly the junction performance over conventional stage-based method of control due to the higher flexibility in specification of signal timings, where the control variables comprise the start and duration of green phases and the cycle time at which the junction is operated. The cycle-structure is specified by a successor function, a combination of 0 and 1 for all incompatible pairs of phases, which indicates the order of phases in a cycle. Normal procedure optimises the timings for each of these successor functions to determine the best timing plan. The computing time is found to be approximately proportional the number of such functions. To reduce the computational requirement, and hence enhance its applicability to real-time actuated control, a neural network is employed to help identify the optimal successor function for further optimisation of timings. Encouraging results were obtained.
Starting Page	120
Ending Page	125
File Size	516363
Page Count	6
File Format	PDF
ISBN	0780336526
DOI	10.1109/IVS.1996.566364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Optimal control Neural networks Timing Telecommunication traffic Communication system traffic control Artificial neural networks Delay Structural engineering Computer networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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