Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems

This publication has 16 references indexed in Scilit:

• Short - Term Traffic Prediction Using Fb-PROPHET and Neural-PROPHET
  2022
• Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
  Neural Networks, 2022
• Traffic flow prediction models – A review of deep learning techniques
  Cogent Engineering, 2021
• A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
  Physica A: Statistical Mechanics and its Applications, 2021
• Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
  Information Sciences, 2021
• Short-Term Road Traffic Flow Prediction Based on Multi-Dimensional Data
  2021
• Short-Term Traffic Prediction Using Sarima and FbPROPHET
  2019
• An effective spatial-temporal attention based neural network for traffic flow prediction
  Transportation Research Part C: Emerging Technologies, 2019
• A Traffic Congestion Forecasting Model using CMTF and Machine Learning
  2018
• The M3-Competition: results, conclusions and implications
  International Journal of Forecasting, 2000