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AssigneeHoneywell International Inc.
InventorsRamkumar RAJENDRAN, Kalimulla KHAN, Kirupakar JANAKIRAMAN, Krishna MANI, Nayyar Azam Khan RAO
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Embodiments of the disclosure provide generative AI-based techniques for generating fueling plans to reduce greenhouse gas (GHG) impact. In the context of a method, the method includes obtaining travel pathway data for a vehicle, the travel pathway data comprising current environmental data and historical environmental data in accordance with at least a portion of the travel pathway; generating, via a generative AI model, a fueling plan for the vehicle along the at least a portion of the travel pathway based on the current environmental data and the historical environmental data, wherein: a reward function of the generative AI model is based on a negative summation of at least one greenhouse emission estimate for the vehicle along the at least a portion of the travel pathway and at least one fuel availability parameter; and executing the fueling plan to control fuel utilized by the vehicle during navigation along the travel pathway.
A method for reducing greenhouse emission impact, comprising:
An apparatus comprising at least one processor and at least one non-transitory memory having computer-coded instructions stored thereon that, in execution with at least one processor, cause the apparatus to:
A computer program product comprising at least one non-transitory computer-readable storage medium having computer program code stored thereon that, in execution with at least one processor, is configured to:
Dependencies are inferred from the claim text.