INTELLIGENT TRANSPORT SUBSYSTEM FOR ESTIMATING THE TRAFFIC DENSITY AND ITS COMPOSITION BASED ON ARTIFICIAL NEURAL NETWORKS AND PARALLEL COMPUTING

Hits: 53
  • TITLE: INTELLIGENT TRANSPORT SUBSYSTEM FOR ESTIMATING THE TRAFFIC DENSITY AND ITS COMPOSITION BASED ON ARTIFICIAL NEURAL NETWORKS AND PARALLEL COMPUTING
  • AUTHOR(S): I. Yeuseyenka, I. Melnikau
  • ABSTRACT: The article describes the intelligent transport systems trends and identifies their perspective directions. Special attention is paid to the function principle of the intelligent traffic density estimation and vehicle classification subsystem. A new approach for improving the speed of this subsystem by the instrumentality of the GPUs (Graphics Processing Unit) and parallel computing is suggested. Different transport detectors were analyzed to select the most useful one for further use in the subsystem. The intelligent subsystem has been developed to estimate the traffic density and its composition in order to integrate it with conventional video surveillance systems used for violations video recording.
  • PAGES: 3-
  • DOWNLOAD: INTELLIGENT TRANSPORT SUBSYSTEM FOR ESTIMATING THE TRAFFIC DENSITY AND ITS COMPOSITION BASED ON ARTIFICIAL NEURAL NETWORKS AND PARALLEL COMPUTING