TRAFFIC ESTIMATION AND PREDICTION SYSTEM
Many intelligent transportation systems (ITS) depend for their success on the availability of timely and accurate estimates of prevailing and emerging traffic conditions. This necessitates a traffic prediction system that uses advanced traffic models to analyze data, especially real-time traffic data, from different sources. The estimates and predictions derived from such a system can be used to select proactive strategies for meeting various traffic control, management, and operation objectives. To address this need, the Federal Highway Administration initiated a Dynamic Traffic Assignment research program. The goal of this program was to develop a deployable real-time Traffic Estimation and Prediction System (TrEPS). Two TrEPS prototypes have been developed and are currently being evaluated. Further details are provided in this article.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07386826
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Lieu, H C
- Publication Date: 2000-5
Language
- English
Media Info
- Features: Figures; References;
- Pagination: p. 3-6, 40
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Serial:
- TR News
- Issue Number: 208
- Publisher: Transportation Research Board
- ISSN: 0738-6826
Subject/Index Terms
- TRT Terms: Dynamic traffic assignment; Highway operations; Highway traffic control; Intelligent transportation systems; Prototypes; Real time data processing; Strategic planning; Traffic forecasting
- Subject Areas: Bridges and other structures; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 00794702
- Record Type: Publication
- Report/Paper Numbers: HS-043 073
- Files: TRIS, TRB
- Created Date: Jun 14 2000 12:00AM