AI RESEARCH
STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
arXiv CS.LG
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ArXi:2604.02756v1 Announce Type: new Accurate crowd simulation is crucial for public safety management, emergency evacuation planning, and intelligent transportation systems. However, existing methods, which typically model crowds as a collection of independent individual trajectories, are limited in their ability to capture macroscopic physical laws. This microscopic approach often leads to error accumulation and compromises simulation stability.