Zi-Cheng Su

Evaluating Impact of Automated Vehicles on Operational Efficiency at Urban Intersections: Empirical and Simulation Study

With the growing deployment of automated vehicles (AVs) in urban road networks, their influence has become increasingly evident at intersections, where complex interactions with human-driven vehicles (HVs) can significantly affect traffic operations. While most studies have focused on freeway conditions, research in...

PriEco-DRL: Joint Optimization of Electric-Bus Eco-Driving and Transit-Priority Adaptive Signals via Deep Reinforcement Learning

PriEco-DRL, a joint optimization framework that integrates EB eco-driving with transit-priority adaptive signal control using deep reinforcement learning (DRL), highlights a tunable energy-time trade-off, allowing flexible operational choices through reward weighting.

LLM powered adaptive traffic signal control via knowledge-enhanced prompt and reinforcement learning fine-tuning