Proposal of a classification method for public space usage based on pedestrian trajectory data

Proposal of a classification method for public space usage based on pedestrian trajectory data

Abstract Herein, we propose a machine learning method based on pedestrian trajectory data to classify public space usage states and discriminate unknown usage states. Assuming that there are several frequent patterns in the usage state of public spaces, each element of the data set representing the...

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Bibliographic Details
Main Authors: Akinobu Masumura, Satoru Sadohara
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Japan Architectural Review
Subjects:
clustering
human flow
machine learning
pedestrian trajectory data
public space usage
Online Access:https://doi.org/10.1002/2475-8876.12359

Internet

https://doi.org/10.1002/2475-8876.12359

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