Downloads: 159
Research Paper | Computer Science & Engineering | Iraq | Volume 7 Issue 9, September 2018
Intelligent Traffic Lights Control Using Q-learning
Mohammed Najm Abdullah [6] | Hassan A. Jeiad [2] | 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
Similar Articles with Keyword 'congestion'
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Masters Thesis, Computer Science & Engineering, India, Volume 11 Issue 7, July 2022
Pages: 1502 - 1505Model of Decision Tree for Email Classification
Nallamothu Naveen Kumar
Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2
Analysis Study Research Paper, Computer Science & Engineering, India, Volume 12 Issue 8, August 2023
Pages: 734 - 741Enhanced Congestion Control in Wireless Networks: A Joint Random Early Detection and Drop Tail Mechanism
S. Mohanarangan | R. Kalaivani Sri | P. Nithya [3] | M. Sowndharya | M. Hemamalini [2]