The conflict between limited road resources and rapid car ownership makes the traffic signal
timing become a pivotal challenge. Emerging studies have been carried out on adaptive …

Existing inflexible and ineffective traffic light control at a key intersection can often lead to
traffic congestion due to the complexity of traffic dynamics, how to find the optimal traffic light …

With rapid development of the urbanization, how to improve the traffic lights efficiency has
become an urgent issue. The traditional traffic light control is a method that calculates a …

Existing inefficient traffic light control causes numerous problems, such as long delay and
waste of energy. To improve efficiency, taking real-time traffic information as an input and …

Existing inefficient traffic light cycle control causes numerous problems, such as long delay
and waste of energy. To improve efficiency, taking real-time traffic information as an input …

Because cities worldwide have high population concentration, traffic congestion is a key
problem that needs to be addressed. As modern technology advances, smart traffic …

In recent years, several studies have been conducted on the dynamic control of traffic signal
durations using deep reinforcement learning with the aim of reducing traffic congestion. The …

Intelligent traffic light control is one of the modern approaches to solve traffic congestion,
where reinforcement learning is a widely used method. Conventionally, reinforcement …

A smart city has being studied to improve the quality of life. A traffic control system is a part of
what smart cities need to deal with. The traffic control system identifies the traffic flow and …

As a critical node and major bottleneck of the urban traffic networks, the control of traffic
signals at road intersections has an essential impact on road traffic flow and congestion …