Abstract
Traffic flow is a specific line of moving vehicles where the degree of interaction between the factors of the flow is extremely high. The vehicles’ interaction is a consequence of human imperfection in driving. For that reason, the determination of traffic flow parameters depends on the drivers’ assessment. That is, their abilities to receive signals from other traffic participants about their manner of moving and the regime. The artificial intelligence hybrid Markovian ants in Queuing System has been applied in the traffic flow research in this paper. The driver’s human intelligence has been substituted by Swarm intelligence. The analysed entropy of the pheromone signal among the ants in a column is analogue to the entropy of signals among successive vehicles in a traffic flow.
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Tanackov, I., Bogdanović, V., Tepić, J., Sremac, S., Ruškić, N. (2011). The Application of Artificial Intelligence Hybrid in Traffic Flow. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds) Hybrid Artificial Intelligent Systems. HAIS 2011. Lecture Notes in Computer Science(), vol 6678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21219-2_12
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DOI: https://doi.org/10.1007/978-3-642-21219-2_12
Publisher Name: Springer, Berlin, Heidelberg
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