Articles with "traffic signal" as a keyword



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Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection

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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… read more here.

Keywords: intersection; traffic; traffic signal; adaptive traffic ... See more keywords
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Offset control of traffic signal using cellular automaton traffic model

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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… read more here.

Keywords: traffic; traffic signal; control; method ... See more keywords
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Investigating the impacts of traffic signal timing on the urban traffic-related particulate matters (PMs): A case study in Xi'an, China

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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… read more here.

Keywords: traffic; traffic signal; signal timing; particulate ... See more keywords
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On Generalized Proportional Allocation Policies for Traffic Signal Control

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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… read more here.

Keywords: traffic; traffic signal; generalized proportional; control ... See more keywords
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A new intelligent traffic signal model based on open source road information

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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... read more here.

Keywords: traffic; traffic signal; model based; signal model ... See more keywords
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Drivers’ visual attention during the onset of the circular yellow indication at high-speed signalized intersections

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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… read more here.

Keywords: traffic; traffic signal; view; indication ... See more keywords
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A Deep Adaptive Traffic Signal Controller With Long-Term Planning Horizon and Spatial-Temporal State Definition Under Dynamic Traffic Fluctuations

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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… read more here.

Keywords: adaptive traffic; term; spatial temporal; state ... See more keywords
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Deep Reinforcement Learning for Traffic Signal Control: A Review

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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… read more here.

Keywords: reinforcement learning; deep reinforcement; signal control; traffic ... See more keywords
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PlanLight: Learning to Optimize Traffic Signal Control With Planning and Iterative Policy Improvement

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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… read more here.

Keywords: control; policy; algorithm; signal control ... See more keywords
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A Novel Real-Time Traffic Signal Control Strategy for Emergency Vehicles

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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… read more here.

Keywords: time; traffic signal; signal control; traffic ... See more keywords
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How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control

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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… read more here.

Keywords: traffic signal; reinforcement learning; signal control; control ... See more keywords