Real-time origin-destination matrices estimation for urban rail transit network based on structural state-space model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-015-2998-4.pdf
Reference24 articles.
1. CREMER M, KELLER H. A new class of dynamic methods for the identification of origin destination flows [J]. Transportation Research Part B, 1987, 21(2): 117–132.
2. CASCETTA E, INAUDI D, MARQUIS G. Dynamic estimators of origin-destination matrices using traffic counts [J]. Transportation Science, 1993, 27(4): 363–373.
3. SHERALI H D, PARK T. Estimation of dynamic origin destination trip tables for a general network [J]. Transportation Research Part B, 2001, 35(3): 217–235.
4. CASCETTA E, PAPOLA A, MARZANO V, SIMONELLI F, VITIELLO I. Quasi-dynamic estimation of O-D flows from traffic counts: Formulation, statistical validation and performance analysis on real data [J]. Transportation Research Part B, 2013, 55(1): 171–187.
5. LU Chung-cheng, ZHOU Xue-song, ZHANG Kui-lin. Dynamic origin-destination demand flow estimation under congested traffic conditions [J]. Transportation Research Part C, 2013, 34: 16–37.
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