Reliable Spatiotemporal Traffic Data Reconstruction for Intelligent Transportation Systems: An Adaptive Reweighted Triple Tensor Decomposition Framework
Reliable spatiotemporal traffic data are fundamental to Intelligent Transportation Systems (ITS), where traffic planning and management depend on continuous observations from multiple sensors. However, sensor failures, equipment maintenance, and communication disturbances can cause data loss and degrade the reliability...