Short-Term Traffic Congestion Forecasting Using Machine Learning and Deep Learning Models for Spatiotemporal Traffic Analysis
Traffic congestion is a complex spatiotemporal phenomenon characterized by rapid fluctuations in traffic flow resulting from temporal dependencies, recurring mobility patterns, and location-specific variations within transportation networks. Accurate short-term traffic forecasting is essential for enhancing intelligent...