TRAFFIC PREDICTION AND QUALITATIVE REASONING
Tsutomu Sugimoto, Satoru Nonaka, Hiroki Oohama · International conference on Artificial intelligence and applications · 1992
Describes traffic prediction at an intersection using qualitative reasoning. The main feature of the approach is to focus on the generation of next possibilities of traffic states using causality between streams based on process ontology and qualitative state vector ontology.