2 citations · 3 across the 5 of their papers we have counts for
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cs.RO2024★ 2 cited
Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning
Dawei Wang, Weizi Li, Lei Zhu +1
The management of mixed traffic that consists of robot vehicles (RVs) and human-driven vehicles (HVs) at complex intersections presents a multifaceted challenge. Traditional signal…
cs.AI2024★ 1 cited
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Ke Guo, Zhenwei Miao, Wei Jing +4
Microscopic traffic simulation plays a crucial role in transportation engineering by providing insights into individual vehicle behavior and overall traffic flow. However, creating…