activity
20242026
most citedAI-Driven Day-to-Day Route Choice

22 citations · 28 across the 3 of their papers we have counts for

collaborators

5 papers

math.DG2026

On Critical Dimensions for Compactness in the Boundary Yamabe Problem, II

Liuwei Gong, Seunghyeok Kim, Monica Musso +1

We determine the sharp compactness ranges for the scalar-flat and minimal-boundary Yamabe problems on smooth compact manifolds of positive conformal type, excluding the conformal r…

cs.LG2025

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…

cs.LG2025★ 6 cited

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…

cs.AI2025

Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment

Leizhen Wang, Peibo Duan, Cheng Lyu +1

Modern navigation systems and shared mobility platforms increasingly rely on personalized route recommendations to improve individual travel experience and operational efficiency.…

cs.LG2024★ 22 cited

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…