NEED FOR IMPROVED EVALUATION MODELS FOR SIGNAL COORDINATION IN ADAPTIVE CONTROL
Adaptive control relies on a surveillance system to obtain real-time traffic data. It uses imbedded intelligence to synthesize traffic data, to evaluate alternative control strategies, and to select and implement the best strategy. To accommodate the constantly changing traffic conditions, the control strategy has to be updated frequently. The evolution of signal control technology has to a large extent been moving toward adaptive control. This evolutionary process, however, has not resulted in significant advancement in the ability to assess accurately the relative merits of alternative timing strategies for real-time control applications. This deficiency in the state of the art of signal control can lead to the deployment of sub-optimal control strategies. The risk in adaptive signal coordination is particularly high because of the complexity of the problem involved. To draw attention to this problem, a brief assessment of the state of the art of modelling the impact of signal control is given herein.
- First in a series on Management of Traffic Systems conducted by Alberto J. Santiago and Sam Yagar on behalf of the Federal Highway Administration (FHWA).
Washington, DC United States 20590
- LIN, F-B
- Large Urban Systems. Proceedings of the Advanced Traffic Management Conference
- Location: St. Petersburg, Florida
- Date: 1993-10-3 to 1993-10-8
- Publication Date: 1993-10
- Features: References;
- Pagination: v.p.
- TRT Terms: Analysis; Standardization; Traffic control devices; Traffic data; Traffic signal control systems; Traffic signal controllers; Traffic surveillance
- Old TRIS Terms: Traffic control device uniformity
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
- Accession Number: 00662940
- Record Type: Publication
- Files: TRIS, USDOT
- Created Date: Jul 7 1994 12:00AM