The study applies data preprocessing and pattern analysis to public transit records as preparation for ML-based digital twin modeling of urban mobility.
Liab , https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/3092522 Modeling Passenger Count Data Based on Automatic Counting , Master's thesis, NTNU (2023)
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Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit
The study applies data preprocessing and pattern analysis to public transit records as preparation for ML-based digital twin modeling of urban mobility.