Revealing representative day-types in transport networks using traffic data clustering
Recognition of spatio-temporal traffic patterns at the network-wide level plays an important role in data-driven intelligent transport systems (ITS) and is a basis for applications such as short-term prediction and scenario-based traffic management. Common practice in the transport literature is to...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor and Francis Ltd.
2023
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |