Travel time is considered more useful to users than other travel-related information such as speed. It is mainly estimated by point or interval detection systems. In this study, the authors investigate the deficiency of these systems in estimating travel times when they are used in isolation, and proposed a fusion algorithm that simultaneously utilises data from both point and interval detection systems. The fusion algorithm is based on the traffic flow and k-nearest neighbourhood (k-NN) models. Specifically, the authors precisely define the so-called the time lag issue in interval detection systems. To overcome this problem, they analysed the travel time variation because of variation in traffic states using fused data from point and interval detection systems. The authors show that the travel time obtained from interval detection systems is renewed by considering the travel time variation and their results show that the proposed algorithm satisfactorily predicts the travel time with the mean absolute percentage errors (MAPE).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data fusion algorithm improves travel time predictions


    Contributors:
    Lim, S. (author) / Lee, C. (author)

    Published in:

    Publication date :

    2011-12-01


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Travel Time Estimation Using Speed Predictions

    Narayanan, Aditya / Mitrovic, Nikola / Asif, Muhammad Tayyab et al. | IEEE | 2015


    Travel time predictions in urban networks

    Hobeika, A. G. / Wessex Institute of Technology | British Library Conference Proceedings | 2002


    Travel Time Data Fusion in ADVANCE

    Tarko, A. / Rouphail, N. M. / ASCE | British Library Conference Proceedings | 1993


    Travel time predictions: should one model speeds or travel times?

    Dietmar Bauer / Mirsad Tulic | DOAJ | 2018

    Free access

    Travel time predictions: should one model speeds or travel times?

    Bauer, Dietmar / Tulic, Mirsad | Springer Verlag | 2018

    Free access