Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping. (arXiv:2208.11061v1 [cs.LG])

With the progress of the urbanisation process, the urban transportation
system is extremely critical to the development of cities and the quality of
life of the citizens. Among them, it is one of the most important tasks to
judge traffic congestion by analysing the congestion factors. Recently, various
traditional and machine-learning-based models have been introduced for
predicting traffic congestion. However, these models are either poorly
aggregated for massive congestion factors or fail to make accurate predictions
for every precise location …

arxiv congestion fusion lg mapping multimodal prediction representation scale traffic