© 2016

Highway Travel Time Estimation With Data Fusion


Part of the Springer Tracts on Transportation and Traffic book series (STTT, volume 11)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Francesc Soriguera Martí
    Pages 1-41
  3. Francesc Soriguera Martí
    Pages 43-52
  4. Francesc Soriguera Martí
    Pages 109-155
  5. Francesc Soriguera Martí
    Pages 185-212

About this book


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.


Highway Traffic Loop Detector Data Toll Ticket Data Traffic Data Fusion Bayesian Data Fusion Fuzzy Inference Algorithm Direct Travel Time Measurement Indirect Travel Time Estimation Point Speed Measurements Traffic Management Systems Real-Time Information Systems

Authors and affiliations

  1. 1.Barcelona TechTechnical University of CataloniaBarcelonaSpain

Bibliographic information