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Spatio-temporal coupled Bayesian Robust Principal Component Analysis for road traffic event detection
2013
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
Road traffic sensors provide us with rich multivariable datastreams about the current traffic conditions. Occasionally, there are unusual traffic events (such as accidents, jams, severe weather, etc) that disrupt the expected road traffic conditions. Detecting the occurrence of such events in an online and real-time manner is useful to drivers in planning their routes and in the management of the transportation infrastructure. We propose a new method for detecting traffic events that impact
doi:10.1109/itsc.2013.6728263
dblp:conf/itsc/YangKB13
fatcat:6petwaxrwbhp5p2cda7mrsv3ta