Forecasting managed facility demand using machine learning
OwnerCameron McQuary Blume, Nathaniel Lounsbury +2inventors
InventorsCameron McQuary Blume, Nathaniel Lounsbury, Barry James O'Brien, Ji Sung Hwang
Life of this patent
Estimating the term…
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OwnerCameron McQuary Blume, Nathaniel Lounsbury +2inventors
InventorsCameron McQuary Blume, Nathaniel Lounsbury, Barry James O'Brien, Ji Sung Hwang
Estimating the term…
A method or system for predicting vehicular occupancy of a managed facility is disclosed. A system receives a request for projected vehicular occupancy at a managed facility during a time range and determines a predicted regional vehicular occupancy within a geographic region encompassing the managed facility during the time range. The system retrieves a set of dynamic environmental parameters corresponding to the managed facility and inputs the predicted regional vehicular occupancy, the environmental parameters, and the time range to a machine learning model. The system receives a predicted measure of vehicular occupancy at the managed facility during the time range from the machine learning model. The system outputs a control signal instructing a device associated with the managed facility to perform an operation based on the predicted measure of vehicular occupancy.
A method for forecasting parking demand, comprising:
A non-transitory computer-readable medium comprising memory with instructions encoded thereon, the instructions comprising instructions to cause one or more processors to perform steps comprising:
A system comprising:
Dependencies are inferred from the claim text.