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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3066-9
Abstract: This paper presents a new method to solve the scheduling problem of adaptive traffic signal control at intersection. The method involves recursive least-squares temporal difference (RLS-TD(λ)) learning that is integrated into approximate dynamic programming. The…
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Keywords:
intersection;
traffic;
traffic signal;
adaptive traffic ... See more keywords
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Published in 2017 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-017-0356-3
Abstract: This paper deals with an offset control of traffic signals using a cellular automaton traffic model. A stochastic optimal control method for distributed traffic signals is modified to achieve coordinated traffic signal control with the…
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Keywords:
traffic;
traffic signal;
control;
method ... See more keywords
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Published in 2020 at "Atmospheric Pollution Research"
DOI: 10.1016/j.apr.2020.07.013
Abstract: Abstract Characterizing the relationship between signal timing and particulate matter (PM) is important for a sustainable traffic signal control and accurate exposure assessment at emission hotspot locations. The impact of traffic signal timing and meteorological…
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Keywords:
traffic;
traffic signal;
signal timing;
particulate ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1728
Abstract: The fast-increasing demand and relatively slow growth of infrastructure capacity are providing a strong motivation for research in real-time urban traffic controls that make the best use of novel sensing in order to increase efficiency…
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Keywords:
traffic;
traffic signal;
generalized proportional;
control ... See more keywords
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Published in 2020 at "Geocarto International"
DOI: 10.1080/10106049.2020.1849415
Abstract: In recent years, the problem of urban traffic congestion has become increasingly prominent. In this study, an intelligent traffic signal model based on open source road traffic information was prop...
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Keywords:
traffic;
traffic signal;
model based;
signal model ... See more keywords
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Published in 2020 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2020.1741559
Abstract: Abstract Objective: Drivers have difficulty deciding whether to stop at the stop line or proceed through the intersection at the onset of the circular yellow (CY) indication. The purpose of this study was to understand…
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Keywords:
traffic;
traffic signal;
view;
indication ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974885
Abstract: This study proposes a new adaptive traffic signal control scheme to effectively manage dynamically fluctuating traffic flows through intersections. A spatial-temporal representation of the traffic state at an intersection has been designed to efficiently identify…
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Keywords:
adaptive traffic;
term;
spatial temporal;
state ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034141
Abstract: Traffic congestion is a complex, vexing, and growing issue day by day in most urban areas worldwide. The integration of the newly emerging deep learning approach and the traditional reinforcement learning approach has created an…
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Keywords:
reinforcement learning;
deep reinforcement;
signal control;
traffic ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3041441
Abstract: Intelligent traffic signal control (TSC) is essential for transportation efficiency in modern road networks. There is an emerging trend of using deep reinforcement learning techniques to train TSC models in simulators for reducing trial-and-error in…
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Keywords:
control;
policy;
algorithm;
signal control ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149920
Abstract: Intelligent traffic signal control strategies for emergency vehicles (EV) is a research hotspot in intelligent transportation systems. Its research results will promote the shortening of the travel time of EVs, which is vital to saving…
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Keywords:
time;
traffic signal;
signal control;
traffic ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266644
Abstract: Data-driven and machine-learning-based methods are increasingly used in attempts to master the challenges of the world. But are they really the best approaches to manage complex dynamical systems? Our aim is to gain more insights…
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Keywords:
traffic signal;
reinforcement learning;
signal control;
control ... See more keywords