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Highway Travel Time Estimation With Data Fusion

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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.

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Detail Information

Series Title

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Call Number

621 MAR h

Publisher

: ., 2016

Collation

XVIII, 212

Language

English

ISBN/ISSN

978-3-662-48856-0

Classification

621

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Transportation Technology and Traffic Engineering,

Specific Detail Info

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Statement of Responsibility

Francesc Soriguera Martí

Other Information

Cataloger

Khusnun

Source

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Validator

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Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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