15 papers
Towards Efficient and Evidence-grounded Mobility Prediction with LLM-Driven Agent
Linyao Chen, Qinlao Zhao, Zechen Li +7
Individual-level mobility prediction is central to urban simulation, transportation planning, and policy analysis. Supervised sequence models achieve strong accuracy but require ta…
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
Peiran Li, Jiawei Wang, Haoran Zhang +4
The importance of mobile phone GPS trajectory data is widely recognized across many fields, yet the use of real data is often hindered by privacy concerns, limited accessibility, a…
TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer
Jiawei Wang, Chuang Yang, Jiawei Yong +6
Mobility trajectories are essential for understanding urban dynamics and enhancing urban planning, yet access to such data is frequently hindered by privacy concerns. This research…
Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan
Xiaojie Yang, Dizhi Huang, Hangli Ge +4
Accurate forecasting of daily attendance is vital for managing transportation, crowd flows, and services at large-scale international events such as Expo 2025 Osaka, Kansai, Japan.…
Realizing Space-oriented Control in Smart Buildings via Word Embeddings
Hangli Ge, Hiroaki Mori, Yasuhira Chiba +1
This paper presents a novel framework for implementing space-oriented control systems in smart buildings. In contrast to conventional device-oriented approaches, which often suffer…
A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts
Masaru Dobashi, Kohei Toshimitsu, Hirotsugu Seike +3
This paper proposes "Data Space High-Level Architecture Model" (DS-HLAM) for expressing diverse data collaboration platforms across regional implementations. The framework introduc…