Rollback Approach for Demand Consistency Checking of Real-Time Traffic Network State Estimation Models
The paper presents a real-time traffic network state estimation model with online demand consistency checking and updating capabilities. In contrast to reactive-based methodologies proposed in the literature, the model adopted a time rollback with a corrective actions approach. When an instance of inconsistency between the measured and estimated network state was observed, the model was allowed to roll back in time and promptly resimulated a predefined past period after the appropriate model’s parameters were adjusted to minimize the observed inconsistency. A demand correction algorithm was developed and used for demand adjustment for each rollback period. The results of applying the developed model for a test bed network are presented. Results show that the approach improves the model’s consistency with real-world observations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295611
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Authors:
- Alnawaiseh, Ala
- Abdelghany, Khaled
- Hassan, Ahmed
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 30–39
- Monograph Title: Network Modeling 2014, Volume 2
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2467
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Algorithms; Methodology; Networks; Origin and destination; Traffic estimation; Traffic simulation
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01517547
- Record Type: Publication
- ISBN: 9780309295611
- Report/Paper Numbers: 14-1749
- Files: TRIS, TRB, ATRI
- Created Date: Mar 10 2014 9:24AM