Field‐tested signal controller to mitigate spillover using trajectory data

[PDF] arxiv.org

CycLight: Learning traffic signal cooperation with a cycle-level strategy

G Han, X Liu, Y Han, X Peng, H Wang - Expert Systems with Applications, 2024 - Elsevier
This study introduces CycLight, a novel cycle-level deep reinforcement learning (RL)
approach for network-level adaptive traffic signal control (NATSC) systems. Traditional RL …
被引用次数：3 相关文章 所有 2 个版本
[PDF] wiley.com

Asynchronous decentralized traffic signal coordinated control in urban road network

J Zhu, C Ma, Y Shi, Y Yang, Y Guo… - Computer‐Aided Civil …, 2024 - Wiley Online Library
This study introduces an asynchronous decentralized coordinated signal control (ADCSC)
framework for multi‐agent traffic signal control in the urban road network. The controller at …
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Traffic Signal Control via Predictive Reinforcement Learning and Multiple-Time-Slice Modelling

X Qin, Q Ma, R Zhong - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Traffic signal control is essential for mitigating traffic congestion. However, oversaturated
traffic conditions with queue spillbacks severely decrease the efficiency of traffic signal …
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