5 papers
OverFlowLight: Real-Time Gridlock Prevention and Traffic Signal Optimization for Urban Intersections
Mingyuan Li, Boyang Huang, Tianqi Jiang +5
Queue overflow, a severe consequence of urban traffic congestion, occurs when vehicle queues exceed intersection capacity, obstructing upstream traffic and triggering cascading gri…
CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
Mingyuan Li, Chunyu Liu, Zhuojun Li +5
Traffic accidents result in millions of injuries and fatalities globally, with a significant number occurring at intersections each year. Traffic Signal Control (TSC) is an effecti…
Parallel Unlearning in Inherited Model Networks
Xiao Liu, Mingyuan Li, Guangsheng Yu +3
Unlearning is challenging in generic learning frameworks with the continuous growth and updates of models exhibiting complex inheritance relationships. This paper presents a novel…
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li, Jiahao Wang, Bo Du +2
Effective traffic signal control (TSC) is crucial in mitigating urban congestion and reducing emissions. Recently, reinforcement learning (RL) has been the research trend for TSC.…
BlockFUL: Enabling Unlearning in Blockchained Federated Learning
Xiao Liu, Mingyuan Li, Xu Wang +5
Unlearning in Federated Learning (FL) presents significant challenges, as models grow and evolve with complex inheritance relationships. This complexity is amplified when blockchai…