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

Beyond spatiotemporal modeling: a review of applications of machine learning for traffic-related air pollution toward non-exhaust emissions

Traffic-related air pollution (TRAP), increasingly shaped by non-exhaust emissions, remains a major urban health concern. This review provides a structured synthesis of over 50 studies (2020–2024) ...