Abstract
In this paper we have adapted an agent approach for traffic light control. According to this, the proposed system contains agents and their world which in turn contains roads, cars, traffic lights etc. Each of these agents observe the traffic density and control the traffic light at the junction by using observe-think-act rule i.e. the agents will continuously observe the traffic and depending on the density and waiting time it decides which rule can be inferred and finally it implements the condition to the traffic light controller which can efficiently manage the traffic flow near the junction. The system has been implemented by using NetLogo based traffic simulator. The investigation is to control the traffic at the road junction by applying few inference rules.It reduces the waiting time and increases the efficiency of the traffic light controller intelligently.
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Mandava, V., Nimmagadda, P., Korrapati, T.R., Anne, K.R. (2012). Knowledge Based Agent for Intelligent Traffic Light Control – An Indian Perspective. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_64
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DOI: https://doi.org/10.1007/978-3-642-25944-9_64
Publisher Name: Springer, Berlin, Heidelberg
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