Patent · US Active

Dynamically generating and updating multipliers for a transportation matching system using machine learning

US11514546B2 · kind B2 · utility

5Cited by
8References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 6, 2020
Grant dateNov 29, 2022
Priority date
Expiry dateJul 6, 2040

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04W4/027
  • WIPO fieldDigital communication
  • WIPO sectorElectrical engineering

Abstract

This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.