Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey

JW Kim, B Jang - Journal of Network and Computer Applications, 2024 - Elsevier
The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …

A Survey of Generative AI for Intelligent Transportation Systems

H Yan, Y Li - arXiv preprint arXiv:2312.08248, 2023 - arxiv.org
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

Mobilitygpt: Enhanced human mobility modeling with a gpt model

A Haydari, D Chen, Z Lai, M Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative models have shown promising results in capturing human mobility
characteristics and generating synthetic trajectories. However, it remains challenging to …

[HTML][HTML] A GIS-Based Framework for Synthesizing City-Scale Long-Term Individual-Level Spatial–Temporal Mobility

Y Yao, Y Jiang, Q Yu, J Yuan, J Li, J Xu, S Liu… - … International Journal of …, 2024 - mdpi.com
Human mobility data are crucial for transportation planning and congestion management.
However, challenges persist in accessing and using raw mobility data due to privacy …

STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation

L Gong, S Guo, Y Lin, Y Liu, E Zheng… - … on Knowledge and …, 2025 - ieeexplore.ieee.org
Analyzing and comprehending check-in sequences is crucial for various applications in
smart cities. However, publicly available check-in datasets are often limited in scale due to …

Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data

R Ozeki, H Yonekura, H Rizk, H Yamaguchi - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate taxi-demand prediction is essential for optimizing taxi operations and enhancing
urban transportation services. However, using customers' data in these systems raises …

Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models

K Liu, X Jin, S Cheng, S Gao, L Yin… - International Journal of …, 2024 - Taylor & Francis
Human mobility data play a crucial role in many fields such as infectious diseases,
transportation, and public safety. Although the development of Information and …

Learning data distribution of three-dimensional ocean sound speed fields via diffusion models

S Li, L Cheng, J Li, Z Wang, J Li - The Journal of the Acoustical Society …, 2024 - pubs.aip.org
The probability distribution of three-dimensional sound speed fields (3D SSFs) in an ocean
region encapsulates vital information about their variations, serving as valuable data-driven …

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion

Q Long, C Rong, H Wang, Y Li - arXiv preprint arXiv:2501.13347, 2025 - arxiv.org
Trajectory data play a crucial role in many applications, ranging from network optimization to
urban planning. Existing studies on trajectory data are task-specific, and their applicability is …

Unveiling the spatial-temporal dynamics: Diffusion-based learning of conditional distribution for range-dependent ocean sound speed field forecasting

C Gao, L Cheng, T Zhang, J Li - The Journal of the Acoustical Society …, 2024 - pubs.aip.org
Environment-aware underwater acoustic detection and communications demand precise
forecasting of the sound speed field (SSF) both temporally and spatially. Toward this goal …