Predicting Traffic Accident Impact Using a Deep Learning Cascade Model with Real-World Data from Los Angeles County

This research paper introduces a novel deep learning model that combines LSTM and CNN architectures to predict the impact of traffic accidents on surrounding traffic flow, utilizing readily available real-world data and a new metric for quantifying accident impact.