activity
20222026
most citedLibSignal: An Open Library for Traffic Signal Control

45 citations · 94 across the 29 of their papers we have counts for

collaborators
Showing cs.AIShow all

7 papers · 1 filter

cs.AI2026

AndroidReality: How Far Are Mobile Agents from the Real World?

Xiaoou Liu, Longchao Da, Hanyang Chen +2

Mobile agents have achieved promising results on clean online benchmarks such as AndroidWorld, yet their performance often degrades sharply in real-world deployment due to environm…

cs.AI2025★ 2 cited

Generative AI in Transportation Planning: A Survey

Longchao Da, Tiejin Chen, Zhuoheng Li +14

The integration of generative artificial intelligence (GenAI) into transportation planning has the potential to revolutionize tasks such as demand forecasting, infrastructure desig…

cs.AI2024

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic

Huaiyuan Yao, Longchao Da, Vishnu Nandam +4

The integration of autonomous vehicles into urban traffic has great potential to improve efficiency by reducing congestion and optimizing traffic flow systematically. In this paper…

cs.AI2024

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras

Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi +5

This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic manageme…

cs.AI2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness

Tiejin Chen, Longchao Da, Huixue Zhou +4

The privacy concerns associated with the use of Large Language Models (LLMs) have grown recently with the development of LLMs such as ChatGPT. Differential Privacy (DP) techniques…

cs.AI2024★ 33 cited

Open-TI: Open Traffic Intelligence with Augmented Language Model

Longchao Da, Kuanru Liou, Tiejin Chen +4

Transportation has greatly benefited the cities' development in the modern civilization process. Intelligent transportation, leveraging advanced computer algorithms, could further…

cs.AI2023★ 5 cited

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hao Mei +1

Numerous solutions are proposed for the Traffic Signal Control (TSC) tasks aiming to provide efficient transportation and mitigate congestion waste. In recent, promising results ha…