An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - ACM Computing Surveys, 2024 - dl.acm.org
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

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 …

Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment

F Xu, J Zhang, C Gao, J Feng, Y Li - arxiv preprint arxiv:2312.11813, 2023 - arxiv.org
Urban environments, characterized by their complex, multi-layered networks encompassing
physical, social, economic, and environmental dimensions, face significant challenges in the …

Harnessing llms for cross-city od flow prediction

C Yu, X **e, Y Huang, C Qiu - … of the 32nd ACM International Conference …, 2024 - dl.acm.org
Understanding and predicting Origin-Destination (OD) flows is crucial for urban planning
and transportation management. Traditional OD prediction models, while effective within …

A gentle introduction and tutorial on deep generative models in transportation research

S Choi, Z **, SW Ham, J Kim, L Sun - arxiv preprint arxiv:2410.07066, 2024 - arxiv.org
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming
essential tools in various fields due to their ability to learn complex data distributions and …

Artificial Intelligence for Complex Network: Potential, Methodology and Application

J Ding, C Liu, Y Zheng, Y Zhang, Z Yu, R Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Complex networks pervade various real-world systems, from the natural environment to
human societies. The essence of these networks is in their ability to transition and evolve …

Diffusion models for intelligent transportation systems: A survey

M Peng, K Chen, X Guo, Q Zhang, H Lu… - arxiv preprint arxiv …, 2024 - arxiv.org
Intelligent Transportation Systems (ITS) are vital in modern traffic management and
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …

A large-scale benchmark dataset for commuting origin-destination matrix generation

C Rong, J Ding, Y Liu, Y Li - arxiv preprint arxiv:2407.15823, 2024 - arxiv.org
The commuting origin-destination~(OD) matrix is a critical input for urban planning and
transportation, providing crucial information about the population residing in one region and …