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

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dc.contributor.author Soriguera Mart , Francesc. author.
dc.contributor.author SpringerLink (Online service)
dc.date.accessioned 2017-12-02T16:03:40Z
dc.date.available 2017-12-02T16:03:40Z
dc.date.created 2016.
dc.date.issued 2016
dc.identifier.isbn 9783662488584
dc.identifier.uri http://dspace.conacyt.gov.py/xmlui/handle/123456789/23538
dc.description XVIII, 212 p. 69 illus., 8 illus. in color.
dc.description.abstract 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.
dc.description.tableofcontents 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.
dc.language eng
dc.publisher Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
dc.relation.ispartofseries Springer eBooks
dc.relation.ispartofseries Springer Tracts on Transportation and Traffic, 2194-8119 ; 11
dc.relation.ispartofseries Springer Tracts on Transportation and Traffic, 2194-8119 ; 11
dc.relation.uri http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-662-48858-4
dc.subject Engineering.
dc.subject Artificial intelligence.
dc.subject Computational intelligence.
dc.subject Transportation engineering.
dc.subject Traffic engineering.
dc.subject Urban economics.
dc.subject Engineering.
dc.subject Transportation Technology and Traffic Engineering.
dc.subject Computational Intelligence.
dc.subject Artificial Intelligence (incl. Robotics).
dc.subject Urban Economics.
dc.subject.ddc 629.04 23
dc.subject.lcc TA1001-TA1280
dc.subject.lcc HE331-HE380
dc.subject.other Engineering (Springer-11647)
dc.title Highway Travel Time Estimation With Data Fusion [electronic resource] / by Francesc Soriguera Mart .
dc.type text
dc.identifier.doi 10.1007/978-3-662-48858-4
dc.identifier.bib 978-3-662-48858-4
dc.format.rdamedia computer
dc.format.rdacarrier online resource
dc.format.rda text file PDF

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