eMARLIN: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information

X Wang, A Taitler, I Smirnov, S Sanner… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In Adaptive Traffic Signal Control (ATSC) systems, real-time responsiveness relies on
sensor data for signal timing adjustments. However, limitations in sensor capabilities result …

Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning

X Li, X Wang, I Smirnov, S Sanner… - arxiv preprint arxiv …, 2024 - arxiv.org
Coordination in traffic signal control is crucial for managing congestion in urban networks.
Existing pressure-based control methods focus only on immediate upstream links, leading to …

Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers

X Wang, A Taitler, S Sanner, B Abdulhai - arxiv preprint arxiv:2409.10693, 2024 - arxiv.org
Efficient traffic signal control is essential for managing urban transportation, minimizing
congestion, and improving safety and sustainability. Reinforcement Learning (RL) has …

eMARLIN: Addressing Coordination and Partial Observability in Distributed Reinforcement Learning for Traffic Signal Control

X Wang - 2024 - search.proquest.com
Traffic congestion is a growing concern in urban areas, pertaining to its significant economic,
environmental, and safety impacts. While traditional solutions like infrastructure expansion …