| CPC B61L 25/025 (2013.01) [B61L 27/10 (2022.01)] | 14 Claims |
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1. A train tracking system comprising:
train tracking module,
a plurality of input sources providing train related information, and
one or more interface(s) associated with the train tracking module,
wherein the train tracking module is configured via computer executable instructions and through operation of at least one processor to
receive the train related information from the plurality of input sources via the one or more interface(s),
determine a position of a train within a train track map, the position of the train corresponding to a track location of the train in a track network, and
wherein the train tracking module further comprises a learning algorithm, the train tracking module being configured to, utilizing the learning algorithm,
determine an unexpected occupancy of the track location,
wherein the train tracking module is configured to determine a location attribute for the position of the train and for the unexpected occupancy of the track location, and an accuracy estimate of the position of the train in the track location,
wherein the location attribute for the position of the train includes a trusted position and a suspect position,
wherein the known positions of trains within the track network include trusted positions of track locations and
wherein the configuration table comprises multiple inputs, the multiple inputs relating to the plurality of input sources, wherein each input comprises an assigned level of trust, and
wherein the trusted position and the suspect position are based on different combinations of the levels of trust of the multiple inputs.
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