Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data

Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data

Accurate prediction of Public Transport (PT) mobility is important for intelligent transportation. Nowadays, mobility data have become increasingly available with the General Transit Feed Specification (GTFS) being the format for PT agencies to disseminate such data. Estimated Time of Arrival (ETA)...

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Bibliographic Details
Main Authors: Eva Chondrodima, Harris Georgiou, Nikos Pelekis, Yannis Theodoridis
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:International Journal of Information Management Data Insights
Subjects:
Estimated time of arrival (ETA)
Fuzzy means
General transit feed specification (GTFS)
Intelligent transportation systems
Neural networks (NN)
Particle swarm optimization (PSO)
Online Access:http://www.sciencedirect.com/science/article/pii/S2667096822000295

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http://www.sciencedirect.com/science/article/pii/S2667096822000295

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