Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3219618
Abstract: Accurate short-term traffic prediction plays a pivotal role in various smart mobility operation and management systems. Currently, most of the state-of-the-art prediction models are based on graph neural networks (Gnns), and the required training samples… read more here.
Keywords: traffic prediction; relational inductive; sample traffic; traffic ... See more keywords
A Novel Environment Estimation Method of Whole Sample Traffic Flows and Emissions Based on Multifactor MFD
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192416524
Abstract: Vehicle emissions seriously affect the air environment and public health. The dynamic estimation method of vehicle emissions changing over time on the road network has always been the bottleneck of air quality simulation. The dynamic… read more here.
Keywords: estimation method; traffic; whole sample; sample traffic ... See more keywords