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[HTML][HTML] Reinforcement learning in urban network traffic signal control: A systematic literature review
Improvement of traffic signal control (TSC) efficiency has been found to lead to improved
urban transportation and enhanced quality of life. Recently, the use of reinforcement …
urban transportation and enhanced quality of life. Recently, the use of reinforcement …
An experimental review of reinforcement learning algorithms for adaptive traffic signal control
Urban traffic congestion has become a serious issue, and improving the flow of traffic
through cities is critical for environmental, social and economic reasons. Improvements in …
through cities is critical for environmental, social and economic reasons. Improvements in …
Deep reinforcement learning for intelligent transportation systems: A survey
Latest technological improvements increased the quality of transportation. New data-driven
approaches bring out a new research direction for all control-based systems, eg, in …
approaches bring out a new research direction for all control-based systems, eg, in …
[كتاب][B] A concise introduction to decentralized POMDPs
FA Oliehoek, C Amato - 2016 - Springer
This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …
cooperative systems. It is aimed at graduate students and researchers in the fields of …
A survey on traffic signal control methods
Traffic signal control is an important and challenging real-world problem, which aims to
minimize the travel time of vehicles by coordinating their movements at the road …
minimize the travel time of vehicles by coordinating their movements at the road …
Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events
The transportation demand is rapidly growing in metropolises, resulting in chronic traffic
congestions in dense downtown areas. Adaptive traffic signal control as the principle part of …
congestions in dense downtown areas. Adaptive traffic signal control as the principle part of …
Deep deterministic policy gradient for urban traffic light control
Traffic light timing optimization is still an active line of research despite the wealth of
scientific literature on the topic, and the problem remains unsolved for any non-toy scenario …
scientific literature on the topic, and the problem remains unsolved for any non-toy scenario …
A survey on reinforcement learning models and algorithms for traffic signal control
Traffic congestion has become a vexing and complex issue in many urban areas. Of
particular interest are the intersections where traffic bottlenecks are known to occur despite …
particular interest are the intersections where traffic bottlenecks are known to occur despite …
Actor-critic algorithms for risk-sensitive MDPs
In many sequential decision-making problems we may want to manage risk by minimizing
some measure of variability in rewards in addition to maximizing a standard criterion …
some measure of variability in rewards in addition to maximizing a standard criterion …
Computational intelligence in urban traffic signal control: A survey
Urban transportation system is a large complex nonlinear system. It consists of surface-way
networks, freeway networks, and ramps with a mixed traffic flow of vehicles, bicycles, and …
networks, freeway networks, and ramps with a mixed traffic flow of vehicles, bicycles, and …