Mixture-Model-Based Clustering for Daily Traffic Volumes

Abstract

Daily traffic volume data are collected and stored as historical data. By learning from the historical data, we can predict traffic volumes. In this paper, we propose a clustering method based on the mixture model estimation... [ view full abstract ]

Authors

Yu Hu (Delft University of Technology), Hans Hellendoorn (Delft University of Technology)

Topic Areas

Data Management and Geographic Information Systems , Data Mining and Data Analysis , Travel Behavior Under ITS , Demand Estimation , Road Traffic Management , Traffic Flow Modelling and Control

Session

Fr-B3 » Data Management and Geographic Information Systems II (13:40 - Friday, 18th September, Gran Canaria)