Abstract
A new freeway traffic simulator based on a deep model behaviour is proposed. This simulator is defined and developed for helping human traffic operators in taking decisions about predictive control actions in situations prior to congestion. The simulator uses qualitative tags and cognitive events to represent the traffic status and evolution and the temporal knowledge base produced by its execution is very small and it has a high level of cognitive information. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Tomás, V. R., & Garcia, A. L. (2005). Freeway traffic qualitative simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 360–362). Springer Verlag. https://doi.org/10.1007/11504894_50
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