Date of Award
Master of Arts (MA)
Carson J.Q. Farmer
Academic Program Adviser
Angela T Haddad
A custom classification algorithm that accounts for the nuances of travel (e.g., underground movements, frequent mode changes, and severe urban canyon effects) in New York City combines a probabilistic random forest classifier with a deterministic GIS-based post-processing procedure to address the challenges of travel mode detection in the city.
Savage, Lerone A., "TRAVEL MODE DETECTION IN NEW YORK CITY USING SMARTPHONES AND GEOGRAPHIC INFORMATION SYSTEMS (GIS)" (2017). CUNY Academic Works.
Available for download on Saturday, August 22, 2020