Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP - Zhu, Weiwei; Wu, Jinglin; Fu, Ting; Wang, Junhua; Zhang, Jie; Shangguan, Qiangqiang (Journal of Intelligent and Connected Vehicles, 2021)
Keywords: Artificial neural networks; Casualties; Deep learning; Emergency management; Emergency preparedness; Intelligent transportation systems; long short-term memory; Machine learning; Management systems; multi-layer perception; Multilayers; Neural networks; Parameters; Prediction models; prediction of traffic incident duration; Real time; Roads & highways; Traffic congestion; Traffic flow; Traffic information; Traffic management; Traffic models; Traffic planning; Traffic speed; Traffic volume; Travel; Variables; Velocity; Windows (intervals); Deep learning; Long short-term memory; Multi-layer perception; Prediction of traffic incident duration