Fuzzy rules-based local segment traffic congestion prediction was performed to determine the traffic congestion state. Macroscopic model-based traffic-flow factors were formalized on the basis of the analysis results. This paper proposes a traffic congestion monitoring system, which includes data collection, segmented structure establishment, traffic-flow modelling, local segment traffic congestion prediction, and origin-destination traffic congestion service for drivers. Existing intelligent transport systems (ITS) do not fully consider and resolve accuracy, instantaneity, and compatibility challenges while resolving traffic congestion in Internet of Vehicles (IoV) environments.
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