5 papers
EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Strategies
Leizhen Wang, Peibo Duan, Hao Wang +4
In traffic engineering, fixed-time traffic signal control remains widely used for its low cost, stability, and interpretability. However, its design relies on hand-crafted formulas…
Mitigating Traffic Oscillations in Mixed Traffic Flow with Scalable Deep Koopman Predictive Control
Hao Lyu, Yanyong Guo, Pan Liu +3
Mitigating traffic oscillations in mixed flows of connected automated vehicles (CAVs) and human-driven vehicles (HDVs) is critical for enhancing traffic stability. A key challenge…
Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment
Leizhen Wang, Peibo Duan, Cheng Lyu +4
The evolution of metropolitan cities and the increase in travel demands impose stringent requirements on traffic assignment methods. Multi-agent reinforcement learning (MARL) appro…
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
Ziyi Huang, Yang Li, Dushuai Li +3
Modeling the interactions among agents for trajectory prediction of autonomous driving has been challenging due to the inherent uncertainty in agents' behavior. The interactions in…
AI-Driven Day-to-Day Route Choice
Leizhen Wang, Peibo Duan, Zhengbing He +5
Understanding travelers' route choices can help policymakers devise optimal operational and planning strategies for both normal and abnormal circumstances. However, existing choice…