Bus running times are a key element of time reliability for bus operators and passengers. Hence, their evaluation is crucial in order to build reliable schedules for transit operations. This study analyses three alternative offline methods for estimating bus running times using automatic vehicle location (AVL) data: the average method, the percentile method and an adjusted Kalman filter method, which is amended in order to be implemented for offline use. Experiments are conducted using ∼92,000 real-world archived AVL records, which are provided by an Italian bus operator. The results can be used to revise scheduled running times along a specific route by these methods.


    Access

    Access via TIB


    Export, share and cite



    Title :

    Evaluating alternative methods to estimate bus running times by archived automatic vehicle location data


    Contributors:

    Published in:

    Publication date :

    2018-10-30


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Evaluating alternative methods to estimate bus running times by archived automatic vehicle location data

    Pili, Francesco / Olivo, Alessandro / Barabino, Benedetto | Wiley | 2019

    Free access

    Designing Automated Vehicle Location Systems for Archived Data Analysis

    Furth, Peter G. / Muller, Theo H. J. / Strathman, James G. et al. | Transportation Research Record | 2004


    Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems

    Saavedra, Marian / Hellinga, Bruce / Casello, Jeffrey | Transportation Research Record | 2011