Juhan Zhu

A Review of Traffic Flow Prediction Research from the Perspective of Physics-Informed Fusion — Based on Physics-Informed Graph Neural Networks

Among the principal functions of intelligent transportation systems, traffic flow prediction stands out as a critical one. Purely data-driven methods face the bottleneck of insufficient generalization capability in scenarios involving sparse data, noise interference, and anomalous events, while classical traffic flow t...