This project was inspired by the City of Bellevue's Vision Zero goal, as well as a government official's suggestion of better utilizing current data collected by cameras and sensors.
Bellevue's traffic safety system is largely reactive. Thus, we propose leveraging Bellevue's cameras and sensors through a deep learning LLM model to create a predictive traffic collision model.
This project was inspired by the City of Bellevue's Vision Zero goal, as well as a government official's suggestion of better utilizing current data collected by cameras and sensors.
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