Research graph
References from SmartSwitchLight: Interpretable multi-agent reinforcement learning for adaptive traffic signal control via generative artificial intelligence based supervisory decision making. Local targets link to admitted publications; unresolved targets remain external evidence.
Traffic light control using hierarchical reinforcement learning and options framework
10.1109/access.2021.3096666 · 2021 · External reference
Unleashing the potential of prompt engineering for large language models
10.1016/j.patter.2025.101260 · 2025 · External reference
Multi-agent deep reinforcement learning for large-scale traffic signal control
10.1109/tits.2019.2901791 · 2020 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2016 · External reference
Large language models and their applications in roadway safety and mobility enhancement: A comprehensive review
2025 · External reference
LLMLight: Large language models as traffic signal control agents
2025 · External reference
Traffic signal timing via deep reinforcement learning
10.1109/jas.2016.7508798 · 2016 · External reference
Generative AI for self-adaptive systems: State of the art and research roadmap
10.1145/3686803 · 2024 · External reference
Large language models (LLMs) as traffic control systems at urban intersections: A new paradigm
10.3390/vehicles7010011 · 2025 · External reference
Traffic signal control via reinforcement learning: A review on applications and innovations
10.3390/infrastructures10050114 · 2025 · External reference
Influence of road and traffic conditions on emissions and fuel consumption of light vehicles in a real urban driving cycle
10.1007/s11356-025-36573-3 · 2025 · External reference
AttendLight: Universal attention-based reinforcement learning model for traffic signal control
2020 · External reference
Unresolved reference
2024 · External reference
Coordinated deep reinforcement learners for traffic light control
2016 · External reference
Unresolved reference
2024 · External reference
A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
10.1186/s40537-025-01104-x · 2025 · External reference
Bridging the black box: A survey on mechanistic interpretability in AI
10.1145/3787104 · 2026 · External reference
Unresolved reference
2025 · External reference
Deep reinforcement learning-based traffic signal control using high-resolution event-based data
10.3390/e21080744 · 2019 · External reference
STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control
10.1109/tmc.2020.3033782 · 2022 · External reference
PressLight: Learning max pressure control to coordinate traffic signals in arterial network
2019 · External reference
Unresolved reference
2023 · External reference
CoLight: Learning network-level cooperation for traffic signal control
2019 · External reference
MetaLight: Value-based meta-reinforcement learning for traffic signal control
2020 · External reference
Learning phase competition for traffic signal control
2019 · External reference
Influence of road and traffic conditions on emissions and fuel consumption of light vehicles in a real urban driving cycle
10.1007/s11356-025-36573-3 · ExternalCitation · doi-reference
Unleashing the potential of prompt engineering for large language models
10.1016/j.patter.2025.101260 · ExternalCitation · doi-reference
Traffic light control using hierarchical reinforcement learning and options framework
10.1109/access.2021.3096666 · ExternalCitation · doi-reference
Traffic signal timing via deep reinforcement learning
10.1109/jas.2016.7508798 · ExternalCitation · doi-reference
Multi-agent deep reinforcement learning for large-scale traffic signal control
10.1109/tits.2019.2901791 · ExternalCitation · doi-reference
STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control
10.1109/tmc.2020.3033782 · ExternalCitation · doi-reference
Generative AI for self-adaptive systems: State of the art and research roadmap
10.1145/3686803 · ExternalCitation · doi-reference
Bridging the black box: A survey on mechanistic interpretability in AI
10.1145/3787104 · ExternalCitation · doi-reference
A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
10.1186/s40537-025-01104-x · ExternalCitation · doi-reference
Deep reinforcement learning-based traffic signal control using high-resolution event-based data
10.3390/e21080744 · ExternalCitation · doi-reference
Traffic signal control via reinforcement learning: A review on applications and innovations
10.3390/infrastructures10050114 · ExternalCitation · doi-reference
Large language models (LLMs) as traffic control systems at urban intersections: A new paradigm
10.3390/vehicles7010011 · ExternalCitation · doi-reference
