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Open Access Publications from the University of California

Neural Network Models For Automated Detection Of Non-recurring Congestion

  • Author(s): Ritchie, Stephen G.
  • Cheu, Ruey L.
  • et al.
Abstract

This research addressed the first year of a proposed multi-year research effort that would investigate, assess, and develop neural network models from the field of artificial intelligence for automated detection of non- recurring congestion in integrated freeway and signalized surface street networks. In this research, spatial and temporal traffic patterns are recognized and classified by an artificial neural network.

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