Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and slow convergence to optimized solutions.

Instead of shaping assessment around policing the use of AI, we need to adopt a holistic approach that helps students and educators judge how much AI use is pedagogically appropriate. These three grid ...

This study is dedicated to developing a deep learning-based traffic noise signal evaluation method, with the goal of improving the accuracy and efficiency of noise evaluation and providing solid ...