activity
20232026
most citedMARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Enabling Real-Time Phase Control in Traffic Signal Hardware-in-the-Loop Simulation

Zhiyao Zhang, Gergely Zachár, William Barbour +4

Advanced Traffic Signal Control (TSC) algorithms require real-time phase control, yet existing Hardware-in-the-Loop Simulation (HILS) testbeds only support pre-programmed timing pl…

eess.SY2025★ 1 cited

Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System

Yuhang Zhang, Zhiyao Zhang, Junyi Ji +7

This article presents the first field deployment of a multi-agent reinforcement learning (MARL) based variable speed limit (VSL) control system on Interstate 24 (I-24) near Nashvil…

eess.SY2024

Phase Re-service in Reinforcement Learning Traffic Signal Control

Zhiyao Zhang, George Gunter, Marcos Quinones-Grueiro +4

This article proposes a novel approach to traffic signal control that combines phase re-service with reinforcement learning (RL). The RL agent directly determines the duration of t…

cs.MA2024

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers

Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro +4

This article presents the first field deployment of a multi-agent reinforcement-learning (MARL) based variable speed limit (VSL) control system on the I-24 freeway near Nashville,…

cs.MA2023★ 4 cited

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits

Yuhang Zhang, Marcos Quinones-Grueiro, Zhiyao Zhang +4

Variable Speed Limit (VSL) control acts as a promising highway traffic management strategy with worldwide deployment, which can enhance traffic safety by dynamically adjusting spee…