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Improving the Prediction of Passenger Numbers in Public Transit Networks by Combining Short-Term Forecasts with Real-Time Occupancy Data

IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS(2023)

Cited 10|Views1
Key words
Clustering algorithms,predictive models,public transportation,time series analysis
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