ABSTRACT This paper focuses on the detection of non-recurrent traffic anomaly caused by unexpected or transient incidents, such as traffic accidents, celebrations, and disasters. Comparing to existing approaches, it considers the spatial and temporal propagation of traffic anomalies from one road to other neighbor roads by proposing an STLP-OD framework. The experimental results on a real data set show that the proposed approach can improve the accuracy of traffic outlier detection baselines significantly. INDEX TERMS Traffic outlier detection, label propagation, coupled hidden Markov model.
Pu et al. REF built a novel framework named STLP-OD, which can detect non-recurrent traffic outliers by considering propagation from one road to other roads.
STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection
IEEE Access
IEEE Access
Computer Science