A method for controlling an artificial intelligent (AI) device providing a travel service, and which includes learning, via a processer of the AI device, a plurality of daily patterns related with a user's wake-up time, a commuting time, and a travel route using a deep neural networks (DNN) model; determining, via the processor, whether the daily patterns satisfy predetermined conditions each time a corresponding daily pattern among the plurality of daily patterns is generated; determining, via the processor, that the user is currently traveling when at least one daily pattern among the plurality of daily patterns that does not satisfy the predetermined conditions is detected; setting, via the processor, a time when the at least one daily pattern that does not satisfy the predetermined conditions is detected for a first time as a starting point of travel; setting, via the processor, a time from the starting point of the travel to an end point of the travel as a travel period of the user when an end of the user's travel is detected; and outputting travel information related with the travel period.