Systems and methods for recommending an estimated time of arrival
First Claim
1. A system configured to operate an online on-demand transportation service, comprising:
- a bus;
logic circuits electronically connected to at least one storage medium via the bus, wherein during operation, the logic circuits load a set of instructions from the at least one storage medium and;
obtain a first electrical signal from the bus, the first electrical signal being associated with at least one route having a plurality of road sections;
generate and save first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal, the at least one global feature vector incorporating interactions between the plurality of road sections;
generate second structured data of a model of estimated time of arrival (ETA) by training the model based on the at least one global feature vector and the at least one historical duration; and
save the second structured data of the model of ETA in the at least one storage medium.
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Accused Products
Abstract
The present disclosure relates to systems and methods for determining an estimated time of arrival (ETA) for a route, based on a model of ETA. The systems may perform the methods to obtain a first electrical signal associated with at least one route having at least one road section; generate and save first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal; generate second structured data of a model of ETA by training the model based on the at least one global feature vector and the at least one historical duration; and save the second structured data of the model of ETA in the at least one non-transitory computer-readable storage medium.
15 Citations
20 Claims
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1. A system configured to operate an online on-demand transportation service, comprising:
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a bus; logic circuits electronically connected to at least one storage medium via the bus, wherein during operation, the logic circuits load a set of instructions from the at least one storage medium and; obtain a first electrical signal from the bus, the first electrical signal being associated with at least one route having a plurality of road sections; generate and save first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal, the at least one global feature vector incorporating interactions between the plurality of road sections; generate second structured data of a model of estimated time of arrival (ETA) by training the model based on the at least one global feature vector and the at least one historical duration; and save the second structured data of the model of ETA in the at least one storage medium. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method configured to operate an online on-demand transportation service on at least one electronic device having logic circuits, at least one storage medium, and a communication platform connected to a network, comprising:
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obtaining, by the logic circuits, a first electrical signal associated with at least one route having a plurality of road sections; generating and saving, by the logic circuits, first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal, the at least one global feature vector incorporating interactions between the plurality of road sections; generating, by the logic circuits, second structured data of a model of estimated time of arrival (ETA) by training the model based on the at least one global feature vector and the at least one historical duration; and saving, by the logic circuits, the second structured data of the model of ETA in the at least one storage medium. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A non-transitory computer-readable storage medium including instructions that, when accessed by at least one processor of an online on-demand service platform from a requestor terminal, causes the at least one processor to:
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obtain a first electrical signal associated with at least one route having a plurality of road sections; generate and save first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal, the at least one global feature vector incorporating interactions between the plurality of road sections; generate second structured data of a model of estimated time of arrival (ETA) by training the model based on the at least one global feature vector and the at least one historical duration; and save the second structured data of the model of ETA in the non-transitory computer-readable storage medium.
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Specification