Article

ActivityNET: Neural Networks to Predict Trip Purposes in Public Transport from Individual Smart Card Data and POIs.

2021-03-09

Abstract excerpt

Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners investigating travel behaviours, and mobility research in urban areas. Here we propose a framework, ActivityNET, using machine learning (ML) algorithms to predict passengers' trip purpose from smart card data and Points-Of-Interest (POIs). The feasibility of the framework is demonstrated in two p...

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Literature Corpus work: 170b7bfc-f052-5ade-8937-c1af3839f050
DOI: 10.20944/preprints202103.0263.v1

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