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

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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Bibliographic Details
Main Authors: Vasileia Papathanasopoulou, Ioanna Spyropoulou, Harris Perakis, Vassilis Gikas, Eleni Andrikopoulou
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Behavior classification
distraction
pedestrian speed prediction
pedestrian trajectory prediction
random forests
GNSS
Online Access:https://ieeexplore.ieee.org/document/9762760/

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