Evaluation of traffic signal control systems

1980 ◽  
Author(s):  
J.L. Kay
Keyword(s):  
Control Systems ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Signal Control Systems

scholarly journals DQN-BASED TRAFFIC SIGNAL CONTROL SYSTEMS

2021 ◽  
Vol 6 (7(57)) ◽  
pp. 16-18
Author(s):  
Ivan Vladimirovich Kondratov
Keyword(s):  
Reinforcement Learning ◽  
Control Systems ◽  
Real Time ◽  
Traffic Control ◽  
Optimization Methods ◽  
Traffic Signal ◽  
Modern World ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Signal Control Systems

Real-time adaptive traffic control is an important problem in modern world. Historically, various optimization methods have been used to build adaptive traffic signal control systems. Recently, reinforcement learning has been advanced, and various papers showed efficiency of Deep-Q-Learning (DQN) in solving traffic control problems and providing real-time adaptive control for traffic, decreasing traffic pressure and lowering average travel time for drivers. In this paper we consider the problem of traffic signal control, present the basics of reinforcement learning and review the latest results in this area.

Traffic Signal Control Systems and Car-to-Car Communications

2013 ◽  
pp. 247-277
Author(s):  
Mounir Boussedjra ◽  
Nitin Maslekar ◽  
Joseph Mouzna ◽  
Houda Labiod
Keyword(s):  
Control Systems ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Signal Control Systems
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