Hybrid TrafficAI: A Generative AI Framework for Real-Time Traffic Simulation and Adaptive Behavior Modeling

Traffic congestion, accidents, and unpredictable driver behaviour remain significant challenges in urban transportation systems. Traditional traffic simulation models often fail to adapt to dynamic environments and lack accuracy handling edge-case scenarios. To address these limitations, hybrid TrafficAI, an innovative Generative AI-based framework that integrates advanced modules for traffic simulation, behaviour modelling and anomaly detection. The framework incorporates several key components. First, an Adaptive Multi-Modal Fusion Engine (AMFE) seamlessly integrates video, LiDAR, and textual data. This is achieved through dynamic feature alignment layers and context-aware gating mechanisms. Second, an…