A deep learning urban traffic congestion forecast model blending the temporal continuity and periodicity.

Bin Mu Yuxi Huang

Published in: ICCIR (2022)

Keyphrases

traffic congestion
deep learning
temporal continuity
traffic flow
urban areas
urban traffic
travel time
unsupervised learning
mean shift
public transport
machine learning
road network
mental models
information services
weakly supervised
motion field
traffic light
cellular automata
traffic signal
maximum likelihood