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Highway Travel Time Estimation With Data Fusion

โœ Scribed by Francesc Soriguera Martรญ (auth.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2016
Tongue
English
Leaves
226
Series
Springer Tracts on Transportation and Traffic 11
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter....Pages i-xviii
Highway Travel Time Information Systems: A Review....Pages 1-41
Travel Time Definitions....Pages 43-52
Accuracy of Travel Time Estimation Methods Based on Punctual Speed Interpolations....Pages 53-84
Design of Spot Speed Methods for Real-Time Provision of Traffic Information....Pages 85-107
Highway Travel Time Measurement from Toll Ticket Data....Pages 109-155
Short-Term Prediction of Highway Travel Time Using Multiple Data Sources....Pages 157-184
Value of Highway Information Systems....Pages 185-212

โœฆ Subjects


Transportation Technology and Traffic Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Urban Economics


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