Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets-Reference-Cited by-同舟云学术

Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets

Published:2015-09 Issue: Volume:58 Page:178-192
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Ji Yuxiong,Mishalani Rabi G.,McCord Mark R.

Funder

Office of the Assistant Secretary for Research and Technology

Federal Transit Administration

U.S. Department of Transportation

The Ohio State University

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference33 articles.

1. Methods to combine different data sources and estimate origin–destination matrices. Proceedings of the 10th International Symposium on Transportation and Traffic Theory;Ben-Akiva,1987

2. Alternative methods to estimate route-level trip tables and expand on-board surveys;Ben-Akiva;Transp. Res. Rec.,1985

3. Discrete Multivariate Analysis: Theory and Practice;Bishop,1975

4. Passenger Counting Systems, Transit Cooperative Research Program 77;Boyle,2008

5. Campus Transit Lab (CTL), 2014. (July 2014).

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