An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …
and city science. Self-driving, traffic prediction, environment estimation, and many other …
Towards generative modeling of urban flow through knowledge-enhanced denoising diffusion
Although generative AI has been successful in many areas, its ability to model geospatial
data is still underexplored. Urban flow, a typical kind of geospatial data, is critical for a wide …
data is still underexplored. Urban flow, a typical kind of geospatial data, is critical for a wide …
Harnessing llms for cross-city od flow prediction
Understanding and predicting Origin-Destination (OD) flows is crucial for urban planning
and transportation management. Traditional OD prediction models, while effective within …
and transportation management. Traditional OD prediction models, while effective within …
[HTML][HTML] A fusion model of temporal graph attention network and machine learning for inferring commuting flow from human activity intensity dynamics
Q Shi, L Zhuo, H Tao, J Yang - … Journal of Applied Earth Observation and …, 2024 - Elsevier
Accurately estimating commuting flow is essential for optimizing urban planning and traffic
design. The latest graph neural network (GNN) model with the encoder-decoder-predictor …
design. The latest graph neural network (GNN) model with the encoder-decoder-predictor …
Predicting origin-destination flows by considering heterogeneous mobility patterns
The accurate prediction of origin-destination (OD) flows is essential for advancing
sustainable urban mobility and supporting resilient urban planning. However, the inherent …
sustainable urban mobility and supporting resilient urban planning. However, the inherent …
Dual-teacher de-biasing distillation framework for multi-domain fake news detection
Multi-domain fake news detection aims to identify whether various news from different
domains is real or fake and has become urgent and important. However, existing methods …
domains is real or fake and has become urgent and important. However, existing methods …
A large-scale benchmark dataset for commuting origin-destination matrix generation
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 …
transportation, providing crucial information about the population residing in one region and …
[HTML][HTML] DistOD: A Hybrid Privacy-Preserving and Distributed Framework for Origin–Destination Matrix Computation
J Kim - Electronics, 2024 - mdpi.com
The origin–destination (OD) matrix is a critical tool in understanding human mobility, with
diverse applications. However, constructing OD matrices can pose significant privacy …
diverse applications. However, constructing OD matrices can pose significant privacy …
Commuting flow prediction using OpenStreetMap data
Accurately predicting commuting flows is crucial for sustainable urban planning and
preventing disease spread due to human mobility. While recent advancements have …
preventing disease spread due to human mobility. While recent advancements have …