Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
Fuente:
arXiv
Saved in:
| Main Authors: | Kwesiga, Dickness Kakitahi, Vishnoi, Suyash Chandra, Guin, Angshuman, Hunter, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025)
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025)
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment
by: Kwesiga, Dickness, et al.
Published: (2024)
by: Kwesiga, Dickness, et al.
Published: (2024)
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)
by: Duan, Wenchang, et al.
Published: (2024)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, et al.
Published: (2025)
Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)
by: Song, Xiaofei, et al.
Published: (2026)
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
by: Tütsch, Vinzenz, et al.
Published: (2024)
by: Tütsch, Vinzenz, et al.
Published: (2024)
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
by: Wang, Kang, et al.
Published: (2024)
by: Wang, Kang, et al.
Published: (2024)
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
by: Lichtlé, Nathan, et al.
Published: (2024)
by: Lichtlé, Nathan, et al.
Published: (2024)
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
by: Zeng, Jinwei, et al.
Published: (2024)
by: Zeng, Jinwei, et al.
Published: (2024)
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
by: Li, Yihong, et al.
Published: (2025)
by: Li, Yihong, et al.
Published: (2025)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic Specifications
by: Vlahakis, Eleftherios E., et al.
Published: (2025)
by: Vlahakis, Eleftherios E., et al.
Published: (2025)
Controller Synthesis of Collaborative Signal Temporal Logic Tasks for Multi-Agent Systems via Assume-Guarantee Contracts
by: Liu, Siyuan, et al.
Published: (2023)
by: Liu, Siyuan, et al.
Published: (2023)
Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
by: Siddique, Umer, et al.
Published: (2025)
by: Siddique, Umer, et al.
Published: (2025)
Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)
by: Veksler, Yaron, et al.
Published: (2024)
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)
by: Zhang, Yan, et al.
Published: (2025)
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)
by: Covone, Stefano, et al.
Published: (2025)
Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
by: Maus, Tom, et al.
Published: (2025)
by: Maus, Tom, et al.
Published: (2025)
On the Use of Abundant Road Speed Data for Travel Demand Calibration of Urban Traffic Simulators
by: Vishnoi, Suyash, et al.
Published: (2024)
by: Vishnoi, Suyash, et al.
Published: (2024)
VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
by: Chang, Hsiao-Chuan, et al.
Published: (2026)
by: Chang, Hsiao-Chuan, et al.
Published: (2026)
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)
by: Mohaya, Turki Bin, et al.
Published: (2026)
Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)
by: Zhang, Yiming, et al.
Published: (2023)
A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)
by: Rezaali, Arash, et al.
Published: (2025)
Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
by: Zinage, Vrushabh, et al.
Published: (2024)
by: Zinage, Vrushabh, et al.
Published: (2024)
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
by: Wang, Maonan, et al.
Published: (2025)
by: Wang, Maonan, et al.
Published: (2025)
Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
by: Nakhleh, Khaled, et al.
Published: (2024)
by: Nakhleh, Khaled, et al.
Published: (2024)
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)
by: Yu, Taoyuan, et al.
Published: (2025)
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
by: Jayawardana, Vindula, et al.
Published: (2024)
by: Jayawardana, Vindula, et al.
Published: (2024)
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)
by: Satheesh, Anirudh, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
by: Li, Zhirun, et al.
Published: (2026)
by: Li, Zhirun, et al.
Published: (2026)
Continuous-Time Control Synthesis for Multiple Quadrotors under Signal Temporal Logic Specifications
by: Yuan, Yating, et al.
Published: (2025)
by: Yuan, Yating, et al.
Published: (2025)
MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
by: Fu, Heming, et al.
Published: (2025)
by: Fu, Heming, et al.
Published: (2025)
Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal Control
by: Kwesiga, Dickens, et al.
Published: (2026)
by: Kwesiga, Dickens, et al.
Published: (2026)
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)
by: Monroc, Claire Bizon, et al.
Published: (2025)
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)
by: Guo, Xudong, et al.
Published: (2024)
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)
by: Hu, Yuanquan, et al.
Published: (2022)
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
by: Sebastian, Eduardo, et al.
Published: (2023)
by: Sebastian, Eduardo, et al.
Published: (2023)
Similar Items
-
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025) -
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment
by: Kwesiga, Dickness, et al.
Published: (2024) -
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024) -
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025) -
Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)