Nature

Multi-scale spatial-temporal transformer for traffic flow prediction

With the rapid acceleration of urbanization, intelligent transportation systems (ITS) play a crucial role in alleviating traffic congestion, optimizing resource allocation, and enhancing travel ...
Nature

Research on traffic flow prediction of progressive graph convolutional networks based on spatio-temporal self-attention mechanism

Traffic flow forecasting is a cornerstone of Intelligent Transportation Systems (ITS), aiming to infer future traffic states from historical observations to support congestion mitigation, route ...
EurekAlert!

Bridging microscopic interactions and macroscopic traffic patterns: a novel approach to stochastic fundamental diagram modeling

Traffic congestion and its inherent stochasticity continue to challenge urban mobility worldwide. To address this, researchers have introduced a groundbreaking framework for modeling the Stochastic ...
Willamette Week

Expert Says Traffic Modeling for Interstate Bridge Replacement Is Wrong

A new examination of the assumptions underlying the proposed Interstate Bridge between Portland and Vancouver says the project relies on bogus numbers. The new study was commissioned by the Just ...