activity
20242026
most citedLLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

7 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control

Aoyu Pang, Maonan Wang, Yuejiao Xie +3

Reinforcement learning (RL) has shown promise in traffic signal control (TSC). However, its reliance on predefined states limits responsiveness to observable open-world events that…

cs.LG2026

Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach

Aoyu Pang, Maonan Wang, Zifan Sha +4

Urban Air Mobility (UAM) has emerged as a transformative solution to alleviate urban congestion by utilizing low-altitude airspace, thereby reducing pressure on ground transportati…

eess.SY2025

TranSimHub:A Unified Air-Ground Simulation Platform for Multi-Modal Perception and Decision-Making

Maonan Wang, Yirong Chen, Yuxin Cai +12

Air-ground collaborative intelligence is becoming a key approach for next-generation urban intelligent transportation management, where aerial and ground systems work together on p…

eess.SY2025

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Maonan Wang, Yirong Chen, Aoyu Pang +4

Traffic signal control (TSC) is a core challenge in urban mobility, where real-time decisions must balance efficiency and safety. Existing methods - ranging from rule-based heurist…

cs.AI2024★ 3 cited

iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

Aoyu Pang, Maonan Wang, Man-On Pun +2

Urban congestion remains a critical challenge, with traffic signal control (TSC) emerging as a potent solution. TSC is often modeled as a Markov Decision Process problem and then s…

eess.SY2024★ 7 cited

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

Maonan Wang, Aoyu Pang, Yuheng Kan +3

Traffic congestion in metropolitan areas presents a formidable challenge with far-reaching economic, environmental, and societal ramifications. Therefore, effective congestion mana…