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Analytically Guided Reinforcement Learning for Green It and Fluent Traffic
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cplx.20392openalex-snapshot
Self‐organizing traffic lights at multiple‐street intersections
inferredcites →https://doi.org/10.1007/978-1-84628-982-8_3openalex-snapshot
Self-Organizing Traffic Lights: A Realistic Simulation
inferredcites →https://doi.org/10.1007/978-3-319-25808-9_4openalex-snapshot
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control
inferredcites →https://doi.org/10.1007/978-3-540-73007-1_14openalex-snapshot
Heuristic Search Based Exploration in Reinforcement Learning
inferredcites →https://doi.org/10.1007/978-3-642-02962-2_65openalex-snapshot
Using Genetic Algorithm for Traffic Light Control System with a Pedestrian Crossing
inferredcites →https://doi.org/10.1016/j.trc.2013.08.014openalex-snapshot
Max pressure control of a network of signalized intersections
inferredcites →https://doi.org/10.1016/j.trc.2014.11.009openalex-snapshot
Decentralized signal control for urban road networks
inferredcites →https://doi.org/10.1016/j.trc.2017.09.020openalex-snapshot
Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events
inferredcites →https://doi.org/10.1016/j.trc.2018.12.004openalex-snapshot
Enhancing transportation systems via deep learning: A survey
inferredcites →https://doi.org/10.1016/j.trc.2019.01.026openalex-snapshot
Urban traffic signal control with connected and automated vehicles: A survey
inferredcites →https://doi.org/10.1016/j.trc.2020.102830openalex-snapshot
A real-time network-level traffic signal control methodology with partial connected vehicle information
inferredcites →https://doi.org/10.1016/j.trpro.2018.12.215openalex-snapshot
Adaptive traffic signal control for real-world scenarios in agent-based transport simulations
inferredcites →https://doi.org/10.1016/s0895-7177(02)80027-9openalex-snapshot
Arterial-based control of traffic flow in urban grid networks
inferredcites →https://doi.org/10.1016/s0967-0661(01)00121-6openalex-snapshot
A multivariable regulator approach to traffic-responsive network-wide signal control
inferredcites →https://doi.org/10.1038/d41586-018-06610-yopenalex-snapshot
How to stop data centres from gobbling up the world’s electricity
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1049/cp:19940424openalex-snapshot
MOTION - a new on-line traffic signal network control system motion
inferredcites →https://doi.org/10.1080/21680566.2016.1142399openalex-snapshot
A link partitioning approach for real-time control of queue spillbacks on congested arterials
inferredcites →https://doi.org/10.1088/1742-5468/2008/04/p04019openalex-snapshot
Self-control of traffic lights and vehicle flows in urban road networks
inferredcites →https://doi.org/10.1109/itsc.2018.8569938openalex-snapshot
Microscopic Traffic Simulation using SUMO
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/vetecf.2010.5594435openalex-snapshot
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System
inferredcites →https://doi.org/10.1140/epjb/e2007-00346-5openalex-snapshot
Anticipative control of switched queueing systems
inferredcites →https://doi.org/10.1140/epjb/e2009-00213-5openalex-snapshot
Operation regimes and slower-is-faster effect in the controlof traffic intersections
inferredcites →https://doi.org/10.1145/3308558.3314139openalex-snapshot
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
inferredcites →https://doi.org/10.1145/3357384.3357900openalex-snapshot
Learning Phase Competition for Traffic Signal Control
inferredcites →https://doi.org/10.1371/journal.pone.0149607openalex-snapshot
Revisiting Street Intersections Using Slot-Based Systems
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v34i04.5744openalex-snapshot
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
inferredcites →https://doi.org/10.25088/complexsystems.16.1.29openalex-snapshot
Self-organizing Traffic Lights
inferredcites →https://doi.org/10.3929/ethz-b-000456701openalex-snapshot
Wirkungsanalyse Selbst-Steuerung
inferredcites →https://doi.org/10.48550/arxiv.1904.08117openalex-snapshot
A Survey on Traffic Signal Control Methods
inferredcites →https://doi.org/10.48550/arxiv.1906.05356openalex-snapshot
Traffic signal control optimization under severe incident conditions using Genetic Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Democratizing Traffic Control in Smart Cities
inferred← citeshttps://doi.org/10.1007/s11831-025-10311-xopenalex-snapshot
Traffic Congestion Estimation and Control: A Comprehensive Review of the Applied Computational Intelligence Models
inferred← citeshttps://doi.org/10.1016/j.jocs.2023.102061openalex-snapshot
Democracy by Design: Perspectives for Digitally Assisted, Participatory Upgrades of Society
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.537openalex-snapshot
Analysis on Advancements in Adaptive Traffic Lights System
inferred← citeshttps://doi.org/10.1016/j.trc.2023.104281openalex-snapshot
Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104511openalex-snapshot
Democratizing traffic control in smart cities
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104860openalex-snapshot
A cooperative perception based adaptive signal control under early deployment of connected and automated vehicles
inferred← citeshttps://doi.org/10.1038/s41598-022-21125-3openalex-snapshot
Adaptability and sustainability of machine learning approaches to traffic signal control
inferred← citeshttps://doi.org/10.1038/s41598-025-13694-wopenalex-snapshot
Intelligent traffic light management using predictive and dynamic traffic flow analysis
inferred← citeshttps://doi.org/10.1109/access.2023.3266644openalex-snapshot
How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control
inferred← citeshttps://doi.org/10.1109/iciics59993.2023.10421012openalex-snapshot
Reinforcement Learning Model for Traffic Control in Urban Area
inferred← citeshttps://doi.org/10.1109/icitsif69060.2026.11608841openalex-snapshot
Automated Traffic Signal Control Using Real-Time Vehicle Counting and AI-Based Adaptive Signal Optimization
inferred← citeshttps://doi.org/10.1109/iscaie61308.2024.10576537openalex-snapshot
An In-Depth Review of Revolutionizing Traffic Control Systems Leveraging Software-Defined Networking (SDN)
inferred← citeshttps://doi.org/10.1109/tits.2025.3577603openalex-snapshot
Collaborative Decision Making With Hybrid Deep Reinforcement Learning for Connected and Autonomous Vehicles in Mixed Traffic
inferred← citeshttps://doi.org/10.1140/epjds/s13688-026-00617-6openalex-snapshot
Decentralised bottleneck prioritisation strategy for traffic flow improvement
inferred← citeshttps://doi.org/10.2139/ssrn.5074256openalex-snapshot
Analysis of Success Factors for Green Information Technology Implementation in the Higher Education Sector in Indonesia
inferred← citeshttps://doi.org/10.26439/interfases2024.n19.6779openalex-snapshot
Una revisión sistemática de literatura sobre implementaciones de sistemas de control de tráfico
inferred← citeshttps://doi.org/10.3390/e25070982openalex-snapshot
Deep Reinforcement Meta-Learning and Self-Organization in Complex Systems: Applications to Traffic Signal Control
inferred← citeshttps://doi.org/10.3390/su132011162openalex-snapshot
Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life
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