Authors: B.Dileep, Assistant Professor Mudigonda Harish Kumar
Abstract: This paper proposes hybrid traffic flow prediction techniques using Parametrical Doped Learning (PDL) and Truncated Dual Flow Optimization (TDFO) along with Adaptive Wildfire Optimization (AWO) and Spatial Pattern Super Learning (SPSL). These techniques are validated using datasets from LTPP and PeMS. Performance comparison with traditional algorithms like TrAdaBoost, KLT, and others shows superior outcomes in terms of accuracy, F1-score, sensitivity, and recall.
