NDLI: Optimal signal controls and effects of flow uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Chang-Jen Lan Xiaojun Gu
Copyright Year	2005
Abstract	This study examines effectiveness of a manual procedure for signal timing optimization, consisting of a modified Webster cycle length formulation applicable in saturated conditions and the equalized degree-of-saturation principle for green time allocation. Effects of statistical uncertainty of flows on control actions and delay performance are also investigated. The results indicate that the proposed procedure produces near-optimal delay performance, and performs as well as the state-of-the-art solution algorithms such as SOAP and TRANSYT with much less computation time. To evaluate effects of flow uncertainty, both stochastic mean and variance of control actions are derived based on approximation. The results show that approximations are reasonably accurate. Magnitude of changes in control actions relative to their means is linearly related to magnitude of statistical uncertainty in arrival flows. The control actions, especially cycle lengths, are less sensitive to flow uncertainty in saturated conditions. Delay performance is subjected to both direct and indirect effects from flow uncertainty. The stochastic mean of delay is always greater than the deterministic mean, indicating that ignoring flow uncertainty will substantially underestimate delay if degree of uncertainty is significant. When control actions are composed based on the actual flows, the mean of stochastic delay will reduce significantly, confirming that the adaptive control is much effective than the deterministic control. The Monte-Carlo simulation study also shows that if control actions deviate more than 3% to 7% from the perfect state, delay performance will substantially deteriorate. Error in flow predictions will affect the effectiveness of control actions and, consequently, delay performance. This study shows that the adverse effect of error in flow prediction on delay is slightly less than the imperfect controls. The margin of error in flow predictions, ranging from 4% to 10%, increases as the flow uncertainty grows.
Starting Page	549
Ending Page	554
File Size	169135
Page Count	6
File Format	PDF
ISBN	0780392159
DOI	10.1109/ITSC.2005.1520107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-16
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimal control Uncertainty Timing Delay effects Equations Traffic control Software Signal generators Simple object access protocol Robustness
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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