A hierarchical approach for dynamic origin-destination matrix estimation on large-scale congested networks
In this paper the authors propose a hierarchical approach for decomposing and simplifying the dynamic origin-destination (OD) estimation procedure for large-scale congested networks. The main idea is to subdivide the network into multiple hierarchical levels. Next an OD estimation is performed on each level separately, starting with the highest level, and the output of this estimation is used as input for the OD estimation on a lower level. The main advantage of this approach is that different levels of complexity (of the DNL/DTA model and of the estimation method) can be used for different parts of the network as required. In addition, this hierarchical approach solves many practical and theoretical limitations of traditional OD estimation methods, which have been identified in previous research.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6069628
-
Supplemental Notes:
- Abstract reprinted with permission of IEEE.
-
Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Frederix, R
- Viti, Francesco
- Tampere, C M J
-
Conference:
- 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
- Location: Washington DC, United States
- Date: 2011-10-5 to 2011-10-7
- Publication Date: 2011-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1543-1548
- Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
Subject/Index Terms
- TRT Terms: Estimating; Origin and destination; Traffic congestion; Trip matrices
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 01565961
- Record Type: Publication
- ISBN: 9781457721984
- Files: TRIS
- Created Date: Jun 6 2015 4:30PM