International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 159

Research Paper | Computer Science & Engineering | Iraq | Volume 7 Issue 9, September 2018


Intelligent Traffic Lights Control Using Q-learning

Mohammed Najm Abdullah, Hassan A. Jeiad, Sarah Saad Hamid


Abstract: Despite the benefits of traffic lights in managing the intersection that gives safety to road users, they became disturbing for lots of people because of increasing congestion in modern city. This makes it necessary to design an intelligent traffic lights system. In this paper, we present design an intelligent traffic lights system to reduce the congestion using Q-learning that learn how to make optimal decisions through the trial and error and discuss how the intelligent system decreases the congestion and how it became important to smart cities.


Keywords: congestion, intelligent traffic, Q-learning, smart cities


Edition: Volume 7 Issue 9, September 2018,


Pages: 166 - 169


How to Cite this Article?

Mohammed Najm Abdullah, Hassan A. Jeiad, Sarah Saad Hamid, "Intelligent Traffic Lights Control Using Q-learning", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20191012, Volume 7 Issue 9, September 2018, 166 - 169

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