Optimization Models for Estimating Transit Network Origin–Destination Flows with Big Transit Data-Reference-Cited by-同舟云学术

Optimization Models for Estimating Transit Network Origin–Destination Flows with Big Transit Data

Published:2021-10-29 Issue:3 Volume:3 Page:247-262
ISSN:2523-3556
Container-title:Journal of Big Data Analytics in Transportation
language:en
Short-container-title:J. Big Data Anal. Transp.

Author:

Liu Xinyu^ORCID,Van Hentenryck Pascal,Zhao Xilei

Funder

Michigan Institute of Data Science

u.s. department of energy

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s42421-021-00050-3.pdf

Reference32 articles.

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2. Alsger A, Assemi B, Mesbah M, Ferreira L (2016) Validating and improving public transport origin-destination estimation algorithm using smart card fare data. Transp Res Part C Emerg Technol 68:490–506

3. Badu-Marfo G, Farooq B, Patterson Z (2019) A perspective on the challenges and opportunities for privacy-aware big transportation data. J Big Data Anal Transp 1(1):1–23. https://doi.org/10.1007/s42421-019-00001-z

4. Barry J, Newhouser R, Rahbee A, Sayeda S (2002) Origin and destination estimation in New York City with automated fare system data. Transp Res Rec J Transp Res Board 1817:183–187

5. Ben-Akiva ME, Macke PP, Hsu PS (1985) Alternative methods to estimate route-level trip tables and expand on-board surveys. Transp Res Rec 1037:1–11

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