From the 2 of 7 linked papers with an AI index.
7 papers
Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
Hua Yan, Heng Tan, Yingxue Zhang +1
The paper introduces MobCache, a mobility-aware caching framework that stores and reuses latent-space embeddings of LLM reasoning steps to enable efficient large-scale human mobili…
Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance
Hua Yan, Heng Tan, Yu Yang
The paper introduces COMPASS, a method that uses large language models guided by empirical mobility scaling laws to generate individual human mobility trajectories that also match…
Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems
Heng Tan, Hua Yan, Yu Yang
Shared micromobility services such as e-scooters and bikes have become an integral part of urban transportation, yet their efficiency critically depends on effective vehicle rebala…
Large Language Model-Guided Semantic Alignment for Human Activity Recognition
Hua Yan, Heng Tan, Yi Ding +3
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is critical for applications in healthcare, safety, and industrial production. However, variations in…
Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment
Heng Tan, Hua Yan, Lucas Yang +1
Shared micromobility systems, such as electric scooters and bikes, have gained widespread popularity as sustainable alternatives to traditional transportation modes. However, these…
REALISM: A Regulatory Framework for Coordinated Scheduling in Multi-Operator Shared Micromobility Services
Heng Tan, Hua Yan, Yukun Yuan +2
Shared micromobility (e.g., shared bikes and electric scooters), as a kind of emerging urban transportation, has become more and more popular in the world. However, the blooming of…