A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.
Shengdong DuTianrui LiXun GongZeng YuShi-Jinn HorngPublished in: CoRR (2018)
Keyphrases
- hybrid method
- traffic flow
- deep learning
- road traffic
- unsupervised learning
- traffic flows
- intelligent transport systems
- cellular automata
- travel time
- machine learning
- short term
- hybrid algorithm
- traffic congestion
- support vector machine
- mental models
- weakly supervised
- traffic light
- genetic algorithm
- probabilistic model
- long term
- support vector
- computer vision
- floating car data