Providing accurate information about bus arrival time to passengers can make the public transport system more attractive. Such information helps the passengers by reducing the uncertainty on waiting time and the associated frustrations. However, accurate estimation of bus travel time is still a challenging problem, especially under heterogeneous and lane-less traffic conditions. The accuracy of such information provided to passengers depends mainly on the estimation method used, which in turns depends on the input data used. Hence, developing suitable estimation methods and identifying the most significant/appropriate input data are important. The present study focused on these aspects of development of estimation methods that can accurately estimate travel time by using significant inputs. In order to identify significant inputs, a data mining technique, namely the k-NN classifying algorithm, was used. It is based on the similarity in pattern between the input and historic data. These identified inputs were then used in a hybrid model that combined exponential smoothing technique with recursive estimation scheme based on the Kalman Filtering (KF) technique. The optimal values of the smoothing parameter were dynamically estimated and were updated using the latest measurements available from the field. The performance of the proposed algorithm showed a clear improvement in estimation accuracy when compared with existing methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A hybrid model based method for bus travel time estimation


    Contributors:

    Published in:

    Publication date :

    2018-09-03


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    TRAVEL TIME ESTIMATION SYSTEM AND TRAVEL TIME ESTIMATION METHOD

    ISHISHIRO KENJI / KURISHIMA YUSUKE | European Patent Office | 2015

    Free access

    Hybrid Model for Motorway Travel Time Estimation considering Increased Detector Spacing

    Bhaskar, Ashish / Qu, Ming / Chung, Edward | Transportation Research Record | 2014


    Travel time estimation

    RANDER PETER / STENTZ ANTHONY / NAGY BRYAN | European Patent Office | 2020

    Free access

    SVM-based hybrid approach for corridor-level travel-time estimation

    Sharmila, R.B. / Velaga, Nagendra R. / Kumar, Akhilesh | IET | 2019

    Free access

    HIGHWAY TRAVEL TIME ESTIMATION METHOD BASED ON GM CAR FOLLOWING MODEL

    LV WEITAO / YANG SHU / CHEN NING et al. | European Patent Office | 2020

    Free access