Estimating the origin-destination matrix using link count observations and traffic flow dynamics

Y. Englezou, S. Timotheou, C.G. Panayiotou

Open source

DOI: 10.1109/itsc55140.2022.9921951
Published: 2022-10-08
Container: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/itsc55140.2022.9921951,
  title = {Estimating the origin-destination matrix using link count observations and traffic flow dynamics},
  author = {Y. Englezou and S. Timotheou and C.G. Panayiotou},
  year = {2022},
  journal = {2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)},
  doi = {10.1109/itsc55140.2022.9921951},
  url = {https://doi.org/10.1109/itsc55140.2022.9921951}
}

RIS

TY  - JOUR
TI  - Estimating the origin-destination matrix using link count observations and traffic flow dynamics
AU  - Y. Englezou
AU  - S. Timotheou
AU  - C.G. Panayiotou
PY  - 2022
JO  - 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
DO  - 10.1109/itsc55140.2022.9921951
UR  - https://doi.org/10.1109/itsc55140.2022.9921951
ER  -

APA

Englezou, Y., Timotheou, S., & Panayiotou, C. (2022). Estimating the origin-destination matrix using link count observations and traffic flow dynamics. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). https://doi.org/10.1109/itsc55140.2022.9921951

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crossref · retrieved 2026-09-26T03:34:14.925Z