Estimation of Origin-Destination Matrices Using Traffic Counts- A Literature Survey
AbstractThe Origin-Destination (OD) matrix is important in describing transportation in a region. This matrix has information on the travel and transportation made between different zones of a region. The OD matrix can be estimated using traffic counts on links in the transport network and other available information. This information on the travel is often contained in a "target OD matrix." The target OD matrix my be an old (probably outdated) matrix or a result from a sample survey. From these two data sources various approaches to estimating an OD matrix has been developed and tested. This survey provides a survey of generic approaches and an annotated bibliography of some individual contributions. Some models and methods are in another paper tested in medium sized applications in a congested region.
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Bibliographic InfoPaper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir98021.
Date of creation: May 1998
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- Fisk, C. S., 1988. "On combining maximum entropy trip matrix estimation with user optimal assignment," Transportation Research Part B: Methodological, Elsevier, vol. 22(1), pages 69-73, February.
- Spiess, Heinz, 1987. "A maximum likelihood model for estimating origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 21(5), pages 395-412, October.
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- Yang, Hai & Iida, Yasunori & Sasaki, Tsuna, 1994. "The equilibrium-based origin-destination matrix estimation problem," Transportation Research Part B: Methodological, Elsevier, vol. 28(1), pages 23-33, February.
- Cascetta, Ennio & Nguyen, Sang, 1988. "A unified framework for estimating or updating origin/destination matrices from traffic counts," Transportation Research Part B: Methodological, Elsevier, vol. 22(6), pages 437-455, December.
- Yang, Hai & Sasaki, Tsuna & Iida, Yasunori & Asakura, Yasuo, 1992. "Estimation of origin-destination matrices from link traffic counts on congested networks," Transportation Research Part B: Methodological, Elsevier, vol. 26(6), pages 417-434, December.
- Snickars, Folke & Weibull, Jorgen W., 1977. "A minimum information principle : Theory and practice," Regional Science and Urban Economics, Elsevier, vol. 7(1-2), pages 137-168, March.
- Guedes, M. Carmo M. & Oliveira, Natália & Santiago, Sérgio & Smirnov, Georgi, 2012. "On the evaluation of a public transportation network quality: Criteria validation methodology," Research in Transportation Economics, Elsevier, vol. 36(1), pages 39-44.
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