[HTML][HTML] Reinforcement learning in urban network traffic signal control: A systematic literature review

M Noaeen, A Naik, L Goodman, J Crebo, T Abrar… - Expert Systems with …, 2022‏ - Elsevier
Improvement of traffic signal control (TSC) efficiency has been found to lead to improved
urban transportation and enhanced quality of life. Recently, the use of reinforcement …

The real deal: A review of challenges and opportunities in moving reinforcement learning-based traffic signal control systems towards reality

R Chen, F Fang, N Sadeh - ar** and evaluating novel multi-agent reinforcement learning traffic light coordination techniques
F Fang, N Sadeh - 2023‏ - rosap.ntl.bts.gov
Traffic congestion costs American cities tens of billions of dollars per year, not to mention its
negative impact on the environment or people's mental health. Novel Markov game models …

Transit Priority

S Soleimaniamiri, X Li, K Long - 2023‏ - rosap.ntl.bts.gov
To establish an efficient way of improving the service quality of the public transportation
system, this research seeks the optimal vehicle scheduling at a multi-conflict area …

[PDF][PDF] CURSO DE DOUTORADO EM ENGENHARIA DE PRODUÇÃO

DC DE SENA, RESHEM UMA‏ - core.ac.uk
RESUMO A gestão de estoques é relacionada a um tipo de tomada de decisão que afeta
diretamente o funcionamento das organizações, pois a sua atuação tem efeitos diretos nos …

[CITATION][C] 基于 Q 学**和动态权重的改进的区域交通信号控制方法

张辰, 喻剑, 何良华 - 计算机科学, 2016