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RISSpatiotemporal 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 ...
Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment
Publisher: American Society of Civil Engineers
Abstract: Accurate and proactive lane-changing (LC) intention recognition can assist drivers in making LC decisions to improve driving safety. However, the mechanism of drivers’ LC decisions in dynamically changing environments is ...