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Adaptive Long-Context Multimodal Modeling for City-Scale Accident Risk Prediction
TS-077096 — Urban traffic accidents are difficult to predict because risk changes rapidly with traffic conditions, weather, human activity, road characteristics, and events occurring elsewhere in a city. Existing prediction approaches often rely on fixed historical windows or isolated data sources, limiting t…
  • College: College of Engineering (COE)
  • Inventors: Guha Neogi, Pinaki Prasad; Mohammadshirazi, Ahmad; Ramnath, Rajiv
  • Licensing Officer: Giles, David

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