Online Calibration for Dynamic Traffic Assignment Models : Theory, Methods and Application

Language: English

Published by VDM Verlag Dr. Müller Sep 2007, 2007

3836421410 / 9783836421416

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Neuware - Traffic estimation and prediction (or dynamic traffic assignment) modelsare 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.…

Seller Inventory # 9783836421416

Title
Online Calibration for Dynamic Traffic Assignment Models : Theory, Methods and Application
Author
Constantinos Antoniou
Publisher
VDM Verlag Dr. Müller Sep 2007
Publication year
2007
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3836421410
ISBN 13
9783836421416
Item weight
275 grams
Dimensions
24.00x0.00x0.00 cm

AHA-BUCH GmbH

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