A Kalman filter approach to dynamic OD flow estimation for urban road networks using multi-sensor data

Author:

Lu Zhenbo1,Rao Wenming1,Wu Yao-Jan2,Guo Li1,Xia Jingxin1

Affiliation:

1. Intelligent Transportation System Research Center; Southeast University; Nanjing 210096 China

2. Department of Civil Engineering and Engineering Mechanics; The University of Arizona; 1209 E 2nd St. Room 324F Tucson AZ 85721 USA

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Reference34 articles.

1. Recursive estimation of time-varying origin-destination flows from traffic counts in freeway corridors;Chang;Transportation Research Part B,1994

2. Lin PW A robust model for estimating freeway dynamic origin-destination matrices 2006 http://hdl.handle.net/1903/3619 http://drum.lib.umd.edu/bitstream/1903/3619/1/umi-umd-3476

3. Estimation of dynamic origin-destination trip tables for a general network;Sherali;Transportation Research Part B,2001

4. Inferring origin-destination trip matrices with a decoupled GLS path flow estimator;Nie;Transportation Research Part B: Methodological,2005

5. Tavana H Internally-consistent estimation of dynamic network origin-destination flows from intelligent systems data using bi-level optimization 2001 http://repositories.lib.utexas.edu/bitstream/handle/2152/1662/tavanah66033.pdf?sequence=2 http://hdl.handle.net/2152/1662

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