AUTOMATIC BUILDING DETECTION AND CLASSIFICATION USING ELEVATOR/ESCALATOR/STAIRS MODELING-MOBILITY PREDICTION

A system, a method and a computer program product are provided to determine mobility pattern of one or more users for buildings, using machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to exec...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	ROM, Ofri, BEGLEITER, Ron
Format:	Patent
Sprache:	eng
Schlagworte:	ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES GENERATING RANDOM NUMBERS PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	A system, a method and a computer program product are provided to determine mobility pattern of one or more users for buildings, using machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain mobility features associated with the buildings in a geographic region, entry-exit data of the one or more users for the buildings in the geographic region The processor may be configured to determine, using trained machine learning model, one or more transport modes for the one or more buildings, based on the mobility features. The processor may be configured to determine, using a trained machine learning model, the mobility pattern of the one or more users based on the entry-exit data of the one or more users and the one or more transport modes for the buildings.