Neural Network Models For Automated Detection Of Non-recurring Congestion
Stephen G. Ritchie, Ruey Long Cheu · RePEc: Research Papers in Economics · 1993
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.