A monitoring and cooperative management system based on intelligent identification of traffic violations

Abstract

The application belongs to the technical field of intelligent traffic, vehicle-road cooperation and traffic monitoring, and discloses a monitoring and cooperative management system based on intelligent identification of traffic violations, which comprises a multi-modal heterogeneous perception layer, an edge and cloud cooperative transmission layer, a dynamic game decision layer, a cross-domain cooperative disposal layer connected in sequence in communication, and an intelligent traceability and optimization layer in bidirectional communication with the dynamic game decision layer. By constructing the four-modal heterogeneous perception layer of space base, road base, vehicle-mounted and human base, multi-dimensional data cross verification is realized, solving the problem of single or binary perception blind area and high misjudgment rate in the prior art. By designing a dynamic game decision algorithm linked in real time with multi-modal fusion data, introducing a dynamic weight adjustment, scene correction and illegal hazard level coefficient calibration mechanism, the illegal level can be accurately distinguished, and different traffic scenes can be adapted, solving the problem that the existing algorithm cannot adapt to complex scenes and has low accuracy.