An edge computing-based fine determination method for urban traffic state, comprising the following steps: performing lane-level data preprocessing at an edge node; dividing a complete road segment; performing lane-vehicle average delay computing at the edge node; inputting the preprocessed and computed data into a fuzzy logic model and determining the lane-level traffic state of an inlet channel region. On the basis of the characteristics by which intersection edge nodes may carry out interconnection and intercommunication, upstream and downstream intersection information is linked to compute the average vehicle travel speed of the remaining road segments, and the traffic state of the remaining road segments may further be determined. The described determination method for inter-urban flow-interrupting traffic state may effectively increase the computing efficiency and promptness of a determination algorithm and the robustness of an entire platform system, while ameliorating the problem in traditional traffic determination algorithms in which general precision is not high, thus implementing more meticulous fine management.
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