The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China

• Main Authors: Tianyu Feng (Author), Zhou Zheng (Author), Jiaying Xu (Author), Minghui Liu (Author), Ming Li (Author), Huanhuan Jia (Author), Xihe Yu (Author)
• Formato: Livro
• Publicado em: Frontiers Media S.A., 2022-07-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

ObjectiveThis cross-sectional research aims to develop reliable predictive short-term prediction models to predict the number of RTIs in Northeast China through comparative studies.MethodologySeasonal auto-regressive integrated moving average (SARIMA), Long Short-Term Memory (LSTM), and Facebook Pro...