This paper presents an innovative train detection algorithm, able to perform the train localization and, at the same time, to estimate its speed, the crossing times on a fixed point of the track and the axle number. The algorithm can manage different types of input, measured on the track: more particularly, all the inputs are processed through cross-correlation operations to extract the required information. A suitable and accurate multibody model of railway vehicle and flexible track has been also developed by the authors to test the algorithm when experimental data are not available.
A new Model Based Estimation Algorithm for Train Axle Counting and Detection / Allotta, B.; D’Adamio, P.; Innocenti, A.; Meli, E.; Pugi, L.. - ELETTRONICO. - (2015), pp. 0-0. (Intervento presentato al convegno Multibody Dynamics 2015 ECCOMAS (Barcelona, Spain) tenutosi a Barcellona, Spagna nel 29/6-2/7 / 2015).
A new Model Based Estimation Algorithm for Train Axle Counting and Detection
ALLOTTA, BENEDETTO;D'ADAMIO, PIERLUCA;INNOCENTI, ALICE;MELI, ENRICO;PUGI, LUCA
2015
Abstract
This paper presents an innovative train detection algorithm, able to perform the train localization and, at the same time, to estimate its speed, the crossing times on a fixed point of the track and the axle number. The algorithm can manage different types of input, measured on the track: more particularly, all the inputs are processed through cross-correlation operations to extract the required information. A suitable and accurate multibody model of railway vehicle and flexible track has been also developed by the authors to test the algorithm when experimental data are not available.File | Dimensione | Formato | |
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