Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

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作者： Harini,Sawandi ^[1] ; Amila,Jayasinghe ^[1] ; Guenther,Retscher ^[2]

作者单位： Department of Town & Country Planning, University of Moratuwa, Moratuwa 10400, Sri Lanka. ^[1] Department of Geodesy and Geoinformation, TU Wien-Vienna University of Technology, 1040 Vienna, Austria. ^[2]

关键词 machine learning mobile GPS tracking pedestrian-friendly environment walking behavior

主题词步行(Walking);人类(Humans);斯里兰卡(Sri Lanka);算法(Algorithms);大学(Universities);地理信息系统(Geographic Information Systems);聚类分析(Cluster Analysis)

DOI 10.3390/s24123822

PMID 38931604

发布时间 2024-06-29

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Sensors (Basel, Switzerland)

2024年24卷12期

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Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

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Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

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