A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction.
Zhishuai LiGang XiongYuanyuan ChenYisheng LvBin HuFenghua ZhuFei-Yue WangPublished in: ITSC (2019)
Keyphrases
- traffic flow
- deep learning
- road traffic
- unsupervised learning
- intelligent transport systems
- unsupervised feature learning
- traffic flows
- cellular automata
- machine learning
- travel time
- traffic congestion
- traffic data
- traffic patterns
- traffic light
- traffic network
- lane change
- mental models
- traffic information
- neural network
- traffic conditions
- recurrent neural networks
- image sequences
- image segmentation
- weakly supervised
- object recognition
- long range
- incident detection
- pairwise