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Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
Nature

An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks

Considering, growing quantity of automobiles on the road, modern transportation schemes face significant challenges such as gridlock, frequent accidents, thenconservational deterioration. When taking ...
Nature

Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

As the process of urbanization accelerates continuously and the demand for transportation increases rapidly, urban road traffic has witnessed social problems such as traffic congestion, environmental ...