A Data-Driven Model for Pedestrian Behavior Classification and Trajectory Prediction

Pedestrian modeling remains a formidable challenge in transportation science due to the complicated nature of pedestrian behavior and the irregular movement patterns. To this extent, accurate and reliable positioning technologies and techniques play a significant role in the pedestrian simulation st...

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Veröffentlicht in:	IEEE open journal of intelligent transportation systems 2022, Vol.3, p.328-339
Hauptverfasser:	Papathanasopoulou, Vasileia, Spyropoulou, Ioanna, Perakis, Harris, Gikas, Vassilis, Andrikopoulou, Eleni
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Behavior classification Classification algorithms distraction Global navigation satellite system GNSS Intelligent transportation systems Legged locomotion Modelling pedestrian speed prediction pedestrian trajectory prediction position fix Prediction algorithms Predictive models random forests Trajectory Transportation
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