Putting the AI in TRAIN: Predicting passenger volume of MRT3 using surrounding amenities

• Main Authors: Amorado, Adriane Mikko A., Delgado, Kevynn P., Limkaichong, Leonard S., Marcaida, Cymon Nicollo P., Navarro, Tal Miguel A., Quinto, Joanna G.
• Format: text
• Published: Animo Repository 2020
• Subjects: Metro Manila MRT-3; Passenger volume prediction; Public transit; Mass rapid transit; Amenities; Transport; Machine learning
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/11128
• Institution: De La Salle University

Mass urban transit has been considered a sustainable and efficient transport solution to developing megacities like Metro Manila, which are experiencing challenges due to rapid motorization, chronic traffic congestion, and deteriorating public transport systems. This trend is expected to get worse a...