A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.
Shengdong DuTianrui LiXun GongShi-Jinn HorngPublished in: Int. J. Comput. Intell. Syst. (2020)
Keyphrases
- hybrid method
- deep learning
- traffic flow
- road traffic
- unsupervised learning
- traffic congestion
- short term
- machine learning
- intelligent transport systems
- cellular automata
- traffic flows
- travel time
- support vector machine
- hybrid algorithm
- traffic light
- long term
- weakly supervised
- supervised learning
- mental models
- active learning
- moving objects
- object recognition
- image sequences
- wind power
- data sets