Book Your Green Wave: Exploiting Navigation Information for Intelligent Traffic Signal Control
Traffic congestion alleviation around intersections has been a growing challenge, and a
competent traffic signal control scheme plays a pivotal role in intelligent transportation …
competent traffic signal control scheme plays a pivotal role in intelligent transportation …
Adaptive urban traffic signal control based on enhanced deep reinforcement learning
C Cai, M Wei - Scientific Reports, 2024 - nature.com
One of the focal points in the field of intelligent transportation is the intelligent control of traffic
signals (TS), aimed at enhancing the efficiency of urban road networks through specific …
signals (TS), aimed at enhancing the efficiency of urban road networks through specific …
MTLight: Efficient multi-task reinforcement learning for traffic signal control
Traffic signal control has a great impact on alleviating traffic congestion in modern cities.
Deep reinforcement learning (RL) has been widely used for this task in recent years …
Deep reinforcement learning (RL) has been widely used for this task in recent years …
Adaptive traffic signal control: Deep reinforcement learning algorithm with experience replay and target network
Adaptive traffic signal control, which adjusts traffic signal timing according to real-time traffic,
has been shown to be an effective method to reduce traffic congestion. Available works on …
has been shown to be an effective method to reduce traffic congestion. Available works on …
Model-based deep reinforcement learning with traffic inference for traffic signal control
H Wang, J Zhu, B Gu - Applied Sciences, 2023 - mdpi.com
In the modern world, the extremely rapid growth of traffic demand has become a major
problem for urban traffic development. Continuous optimization of signal control systems is …
problem for urban traffic development. Continuous optimization of signal control systems is …
Robust deep reinforcement learning for traffic signal control
A traffic signal is a fundamental part of the traffic control system to reduce congestion and
enhance safety. Since the inception of motorized vehicles, traffic signal controllers are put in …
enhance safety. Since the inception of motorized vehicles, traffic signal controllers are put in …
Traffic signal control using end-to-end off-policy deep reinforcement learning
An efficient transportation system can substantially benefit our society, but road intersections
have always been among the major traffic bottlenecks leading to traffic congestion …
have always been among the major traffic bottlenecks leading to traffic congestion …
A deep reinforcement learning agent for traffic intersection control optimization
The efficiency of traffic flows in urban areas largely depends on signal operation. The state-
of-the-art traffic signal control strategies are not able to efficiently deal with varying or over …
of-the-art traffic signal control strategies are not able to efficiently deal with varying or over …
A reinforcement learning approach for intelligent traffic signal control at urban intersections
M Guo, P Wang, CY Chan… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Ineffective and inflexible traffic signal control at urban intersections can often lead to
bottlenecks in traffic flows and cause congestion, delay, and environmental problems. How …
bottlenecks in traffic flows and cause congestion, delay, and environmental problems. How …
RA-TSC: Learning adaptive traffic signal control strategy via deep reinforcement learning
Y Du, W ShangGuan, D Rong… - 2019 ieee intelligent …, 2019 - ieeexplore.ieee.org
To reduce the traffic congestion, ensuring intersection control strategy efficiency is a priority
in urban transportation system. Reinforcement Learning (RL)-based method provides a new …
in urban transportation system. Reinforcement Learning (RL)-based method provides a new …