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On-line calibration for Dynamic Traffic Assignment models- Theory, methods and application [Paperback]

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Item description for On-line calibration for Dynamic Traffic Assignment models- Theory, methods and application by Constantinos Antoniou...

Traffic estimation and prediction (or dynamic traffic assignment) models are expected to contribute to the reduction of travel time delays. In this book, an on-line calibration approach that jointly estimates all model parameters is presented. The methodology imposes no restrictions on the models, the parameters or the data that can be handled, and emerging or future data can be easily incorporated. The modeling approach is applicable to any simulation model and is not restricted to the application domain covered in this book. Several modified, non-linear Kalman Filter methodologies are presented, e.g. Extended Kalman Filter (EKF), Iterated EKF, Limiting EKF, and Unscented Kalman Filter. Extensive case studies on freeway networks in Europe and the US are used to demonstrate the approach, to verify the importance of on-line calibration, and to test the presented algorithms. The main target audience of this book comprises Intelligent Transportation Systems researchers and graduate students, as well as practitioners, including Metropolitan Planning Organization engineers and Traffic Management Center operators, and any reader with an interest in dynamic state and parameter estimation.



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Item Specifications...


Pages   160
Est. Packaging Dimensions:   Length: 9.4" Width: 6.5" Height: 0.6"
Weight:   0.1 lbs.
Binding  Softcover
Release Date   Jul 20, 2007
Publisher   VDM Verlag Dr. Mueller e.K.
ISBN  3836421410  
ISBN13  9783836421416  


Availability  106 units.
Availability accurate as of May 25, 2017 08:44.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems
2Books > Subjects > Computers & Internet > Computer Science
3Books > Subjects > Computers & Internet > General



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