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Gaussian dual adjacency graph based spatial correlated and temporal time dependent traffic prediction in Bangalore City. [PDF]
Ravichandran SK +4 more
europepmc +1 more source
STICformer: spatio-temporal intrinsic connections transformer for traffic flow prediction. [PDF]
Chu Y, Fu T, Liu P, Lao H.
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Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
International Conference on Information and Knowledge Management, 2023With the rapid development of the Intelligent Transportation System (ITS), accurate traffic forecasting has emerged as a critical challenge. The key bottleneck lies in capturing the intricate spatio-temporal traffic patterns.
Hangchen Liu +6 more
semanticscholar +1 more source
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
IEEE Transactions on Knowledge and Data Engineering, 2021Accurate traffic forecasting is critical in improving safety, stability, and efficiency of intelligent transportation systems. Despite years of studies, accurate traffic prediction still faces the following challenges, including modeling the dynamics of ...
Shengna Guo +4 more
semanticscholar +1 more source
Microscopic Traffic Simulation using SUMO
International Conference on Intelligent Transportation Systems, 2018Microscopic traffic simulation is an invaluable tool for traffic research. In recent years, both the scope of research and the capabilities of the tools have been extended considerably.
Pablo Álvarez López +9 more
semanticscholar +1 more source
Traffic stops do not prevent traffic deaths
Journal of Trauma and Acute Care Surgery, 2021OBJECTIVES Amid growing calls for police reform, it is imperative to reassess whether police actions designed to improve public safety are associated with injury prevention. This study aims to examine the relationship between the police traffic stops (PTSs) and motor vehicle crash (MVC) deaths at the state level. We hypothesize
Anuja L, Sarode +7 more
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