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.
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This research has been partly supported by the Spanish research projects CICYT DPI2002-04357-c03-02 and Fundacio Caixa- Castello P1 1B2003-36.
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References
Transportation Research Board Highway Capacity Manual, TRB (2000)
Hoogendoorn, et al.: Real-time traffic management scenario evaluation. In: Proc. of the 10th IFAC Symposium on Control in Transportation Systems (CTS 2003), Tokyo, Japan (2003)
Smartest deliverable 3. Simulation modeling applied to road transport European scheme tests. Review of micro-simulation models. Inst. of transport studies, Leeds University (1999)
Kotsialos, A., Papagoeorgiou, et al.: Traffic flow modelling of large-scale motorway network using the macroscopic modelling tool Metanet. In: Proceedings of the TRAIl Expert Seminar on Recent Advances in traffic Flow Modelling and Control. Delft, The Netherlands (1999)
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© 2005 Springer-Verlag Berlin Heidelberg
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Tomás, V.R., Garcia, A.L. (2005). Freeway Traffic Qualitative Simulation. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_50
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DOI: https://doi.org/10.1007/11504894_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
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