Abstract: A system includes one or more processors and memory storing processor-executable instructions that cause the one or more processors to perform operations. The operations include generating a driving strategy for a traveling route of a train based on saved data in the system, the train comprising at least one diesel-electric locomotive (DEL) and at least one battery-electric locomotive (BEL); operating the train according to the driving strategy; receiving update data; revising the driving strategy based on the saved data and the update data including: determining an amount of energy for the train to traverse a segment of the traveling route based on the driving strategy and the update data, and determining a distribution of the amount of energy between the at least one DEL and the at least one BEL based on the driving strategy and the update data; and operating the train according to the revised driving strategy.

Abstract: A train control system uses sensory inputs related to operational parameters of a train for automatically scoring or classifying particular train driving strategies implemented by a machine learning model for a particular train operating on a predefined route or route segment. The train control system includes one or more predefined rules related to one or more of a first set of the operational parameters, wherein each of the rules defines a Boolean, true or false classification based on whether a particular train driving strategy results in one or more of the first set of operational parameters complying with the rule. One or more comparative key performance indicators are related to one or more of a second set of operational parameters, and are used to rank the particular train driving strategy for the predefined route or route segment relative to a different train driving strategy for the same or comparable route or route segment.

Abstract: A train control system uses sensory inputs related to operational parameters of a train for automatically scoring or classifying particular train driving strategies implemented by a machine learning model for a particular train operating on a predefined route or route segment. The train control system includes one or more predefined rules related to one or more of a first set of the operational parameters, wherein each of the rules defines a Boolean, true or false classification based on whether a particular train driving strategy results in one or more of the first set of operational parameters complying with the rule. One or more comparative key performance indicators are related to one or more of a second set of operational parameters, and are used to rank the particular train driving strategy for the predefined route or route segment relative to a different train driving strategy for the same or comparable route or route segment.