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This paper introduces a novel task generating visual traffic knowledge graphs via large models to inform driving decisions.. In order to solve the problem of traffic congestion in a certain area, this paper develops a set of traffic optimization decision system.. the deficiencies of the type1 fuzzy traffic control system in dealing with uncertainty have led to a reduced ability to address traffic congestion..

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Days ago we present an interpretable, regulationaware decisionmaking framework, drivereg, which enables autonomous vehicles to understand and adhere to regionspecific traffic laws and safety guidelines, the deficiencies of the type1 fuzzy traffic control system in dealing with uncertainty have led to a reduced ability to address traffic congestion. Learn the fundamentals and advanced methods of traffic forecasting in transportation engineering to optimize infrastructure planning and development.

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Therefore, this paper proposes a type2 fuzzy controller for a single intersection.. New post dynamic lane‑change decision‑making under occluded traffic using probabilistic graph neural networks and real‑time sensor fusion dynamic lane‑change decision‑making under.. In order to solve the problem of traffic congestion in a certain area, this paper develops a set of traffic optimization decision system..

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