Research on road traffic situation awareness system based on image big data

Abstract

to promote the construction of intelligent and information technology in the field of road traffic is conducive to the construction of smart cities and the formulation of macro strategies and construction plans for urban traffic development. In view of the shortcomings of the current road traffic system, based on convolution neural network, situation awareness technology, database and other technologies, using CNN, R-CNN, fast R-CNN and fast R-CNN, this paper constructs a deep convolution neural network model based on the big data of road traffic image, and carries out the system demand analysis and system framework design and implementation. Through the analysis of the actual case and the feedback of the trial, the application effect of the road traffic situation awareness system is illustrated, in order to provide scientific reference and basis for the establishment of modern intelligent transportation system