RECOGNITION OF URBAN TRAFFIC NETWORK DENSITY USING SPATIAL TEMPORAL CLUSTERING METHOD

This study aims to group the city traffic network using cluster machine learning methods spatially and temporally. Recognition uses the clustering method of urban traffic network density to build Macroscopic Fundamental Diagrams (MFD) with uniform density and does not use just temporal data, but als...

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Bibliographic Details
Main Author: Maulana, Rahmat
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/54314
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Institution: Institut Teknologi Bandung
Language: Indonesia

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