Intelligent Diagnosis System and Method for Intersection Operation Status Based on Feature Matching

Abstract

This invention discloses an intelligent diagnostic system and method for intersection operation status based on feature matching. Specifically, it involves: collecting peak and off-peak video data from an unmanned aerial vehicle (UAV) above the intersection; detecting dynamic parameters such as traffic flow and speed of motor vehicles and non-motor vehicles at the intersection, as well as static parameters such as the coordinates of lane markings and guide arrows inside and at the intersection's entrances; constructing a multi-dimensional fusion indicator system; establishing a database of intersection influencing factors and a database of improvement measures; simulating and extrapolating data obtained from static modeling and dynamic perception using digital twin technology to acquire data features of different traffic scenarios from the intersection influencing factor database; and achieving a one-to-one strong rule association between the influencing factor database and the improvement measure database through multi-dimensional Apriori association rules. This invention effectively improves the low accuracy and efficiency of existing non-motor vehicle detection methods and provides adaptive diagnostic evaluation for intersections of different specifications.

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