crossrefMachine Learning and Knowledge Extraction2024-12-11Cited by 2
Prediction of Drivers’ Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks
Md Mostafizur Rahman Komol, Mohammed Elhenawy, Jack Pinnow, Mahmoud Masoud, Andry Rakotonirainy, Sebastien Glaser, et al.
Red-light running at signalised intersections poses a significant safety risk, necessitating advanced predictive technologies to predict red-light violation behaviour, especially for advanced red-light warning (ARLW) systems. This research leverages Long Short-Term Memory (LSTM)…