Highway Travel Time Estimation With Data Fusion
Language: English
Published by Springer Berlin Heidelberg, 2015
Series: Book 10 of 19 - Springer Tracts on Transportation and Traffic
- Hardcover
- New
Condition: New
£ 80.44
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive and accurate overview of freeway travel time estimation methods Proposes original solutions to estimate travel time Analyzes, criticizes and enhances common direct measurement methods and propose a new data fusion method whic.
Seller Inventory # 82810912
- Title
- Highway Travel Time Estimation With Data Fusion
- Author
- Francesc Soriguera Martí
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2015
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3662488566
- ISBN 13
- 9783662488560
- Dimensions
- 1.7 x 24.1 x 16
- Series
- Book 10 of 19: Springer Tracts on Transportation and Traffic
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
"About the title" may belong to another edition of this title.
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