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Spatiotemporal Multivehicle Interaction Graph Modeling for Proactive Lane-Changing Risk Level Prediction in a Connected Environment
Publisher: American Society of Civil Engineers
Abstract: Timely and accurate prediction of lane-changing (LC) risk is crucial for drivers to make safe LC decisions. This study proposes a spatiotemporal attention graph neural network model (STAG) based on multivehicle interaction ...