Smartphone-Based Recognition of Access Trip Phase to Public Transport Stops Via Machine Learning Models

The usage of mobile phones is nowadays reaching full penetration rate in most countries. Smartphones are a valuable source for urban planners to understand and investigate passengers’ behavior and recognize travel patterns more precisely. Different investigations tried to automatically extract trans...

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Hlavní autoři:	Hosseini Seyed Hassan, Gentile Guido
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Sciendo 2022-11-01
Edice:	Transport and Telecommunication
Témata:	transport mode detection machine learning trip phase recognition urban trips on public transport
On-line přístup:	https://doi.org/10.2478/ttj-2022-0022
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