activity
20242026
most citedLarge Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities

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

collaborators

7 papers

cs.AI2026

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management

Xi Cheng, Ke Liu, Siyuan Feng +2

Foundation models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used for transportation management center (TMC) tasks such as anomaly…

cs.CE2025★ 3 cited

Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities

Yimo Yan, Yejia Liao, Guanhao Xu +13

The rapid rise of Large Language Models (LLMs) is transforming traffic and transportation research, with significant advancements emerging between the years 2023 and 2025 -- a peri…

cs.HC2024

Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics

Xi Cheng, Tong Liu, Gaofeng Su +5

Parking challenges escalate significantly during large events such as concerts and sports games, yet few studies address dynamic parking lot assignments in these occasions. This pa…

cs.RO2024

Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics

Xi Cheng, Gaofeng Su, Siyuan Feng +5

Parking challenges escalate significantly during large events such as concerts or sports games, yet few studies address dynamic parking lot assignments for such occasions. This pap…

math.OC2024★ 1 cited

Flight Path Optimization with Optimal Control Method

Gaofeng Su, Xi Cheng, Siyuan Feng +5

This paper is based on a crucial issue in the aviation world: how to optimize the trajectory and controls given to the aircraft in order to optimize flight time and fuel consumptio…

cs.LG2024★ 1 cited

Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments

Ke Liu, Fan Hu, Hui Lin +6

This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand…

cs.LG2024★ 1 cited

Airport Delay Prediction with Temporal Fusion Transformers

Ke Liu, Kaijing Ding, Xi Cheng +9

Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been a…