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.

• Record URL:
  https://doi.org/10.3141/2467-04
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295611
• 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
• 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