Advanced self-improving ramp metering algorithm based on multi-agent deep reinforcement learning
We proposed a novel ramp metering algorithm embedding multi-agent deep reinforcement
learning (DRL) techniques, based on the data of loop detectors. A multi-agent DRL …
learning (DRL) techniques, based on the data of loop detectors. A multi-agent DRL …
A dynamic self-improving ramp metering algorithm based on multi-agent deep reinforcement learning
We present a novel ramp metering algorithm that incorporates multi-agent deep
reinforcement learning (DRL) techniques, which utilizes monitoring data from loop detectors …
reinforcement learning (DRL) techniques, which utilizes monitoring data from loop detectors …
A Novel Ramp Metering Algorithm based on Deep Reinforcement Learning
Q Xu, Z Liu, Z Xu - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
In order to solve the problems of slow response and inaccurate control of the traditional
ramp metering algorithm, we propose an intelligent ramp metering model based on deep …
ramp metering algorithm, we propose an intelligent ramp metering model based on deep …
A physics-informed reinforcement learning-based strategy for local and coordinated ramp metering
This paper proposes a physics-informed reinforcement learning (RL)-based ramp metering
strategy, which trains the RL model using a combination of historic data and synthetic data …
strategy, which trains the RL model using a combination of historic data and synthetic data …
SMAC-tuned Deep Q-learning for Ramp Metering
O ElSamadisy, Y Abdulhai, H Xue… - … on Smart Mobility …, 2023 - ieeexplore.ieee.org
The demand for transportation increases as the population of a city grows, and significant
expansion is not conceivable because of spatial, financial, and environmental limitations. As …
expansion is not conceivable because of spatial, financial, and environmental limitations. As …
A deep reinforcement learning approach for ramp metering based on traffic video data
Ramp metering that uses traffic signals to regulate vehicle flows from the on‐ramps has
been widely implemented to improve vehicle mobility of the freeway. Previous studies …
been widely implemented to improve vehicle mobility of the freeway. Previous studies …
Expert level control of ramp metering based on multi-task deep reinforcement learning
F Belletti, D Haziza, G Gomes… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper shows how the recent breakthroughs in reinforcement learning (RL) that have
enabled robots to learn to play arcade video games, walk, or assemble colored bricks, can …
enabled robots to learn to play arcade video games, walk, or assemble colored bricks, can …
A novel ramp metering approach based on machine learning and historical data
S Ghanbartehrani, A Sanandaji, Z Mokhtari… - Machine Learning and …, 2020 - mdpi.com
The random nature of traffic conditions on freeways can cause excessive congestion and
irregularities in the traffic flow. Ramp metering is a proven effective method to maintain …
irregularities in the traffic flow. Ramp metering is a proven effective method to maintain …
A transfer learning framework for proactive ramp metering performance assessment
Transportation agencies need to assess ramp metering performance when deploying or
expanding a ramp metering system. The evaluation of a ramp metering strategy is primarily …
expanding a ramp metering system. The evaluation of a ramp metering strategy is primarily …
[PDF][PDF] A deep reinforcement learning-based ramp metering control framework for improving traffic operation at freeway weaving sections
Ramp metering (RM) dynamically adjusts ramp flow merging into freeway mainline
according to real-time traffic conditions to improve traffic operation. The effectiveness of RM …
according to real-time traffic conditions to improve traffic operation. The effectiveness of RM …