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 paper analyses three alternative offline methods for estimating bus running times using Automatic Vehicle Location 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 approximately 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 this route by these methods.

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

Alessandro Olivo
Secondo
Membro del Collaboration Group
;
Benedetto Barabino
Ultimo
Membro del Collaboration Group
2019-01-01

Abstract

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 paper analyses three alternative offline methods for estimating bus running times using Automatic Vehicle Location 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 approximately 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 this route by these methods.
2019
bus running time; automatic vehicle location data; performance evaluation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/252543
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