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Highway Travel Time Estimation With Data Fusion [electronic resource] / by Francesc Soriguera Mart�i.

By: Soriguera Mart�i, Francesc [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Tracts on Transportation and Traffic: 11Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Description: XVIII, 212 p. 69 illus., 8 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662488584.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Transportation engineering | Traffic engineering | Urban economics | Engineering | Transportation Technology and Traffic Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Urban EconomicsAdditional physical formats: Printed edition:: No titleDDC classification: 629.04 Online resources: Click here to access online
Contents:
Highway Travel Time Information Systems: A Review -- Travel Time Definitions -- Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations -- Design of Spot Speed Methods for Real-Time Provision of Traffic Information -- Highway Travel Time Measurement from Toll Ticket Data -- Short-term Prediction of Highway Travel Time Using Multiple Data Sources -- Value of Highway Information Systems.
In: Springer eBooksSummary: 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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Highway Travel Time Information Systems: A Review -- Travel Time Definitions -- Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations -- Design of Spot Speed Methods for Real-Time Provision of Traffic Information -- Highway Travel Time Measurement from Toll Ticket Data -- Short-term Prediction of Highway Travel Time Using Multiple Data Sources -- Value of Highway Information Systems.

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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