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Highway Travel Time Estimation With Data Fusion (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R2,957
Discovery Miles 29 570
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Highway Travel Time Estimation With Data Fusion (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Springer Tracts on Transportation and Traffic, 11
Expected to ship within 10 - 15 working days
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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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