St-mlp: A cascaded spatio-temporal linear framework with channel-independence strategy for traffic forecasting
The criticality of prompt and precise traffic forecasting in optimizing traffic flow management
in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus. Spatio …
in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus. Spatio …
A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks
The efficient and smooth operation of the transportation system is crucial for ensuring the
normal functioning of modern society and people's daily lives. However, the increase in …
normal functioning of modern society and people's daily lives. However, the increase in …
Large language models for mobility in transportation systems: A survey on forecasting tasks
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …
Forecasting traffic information offers a viable solution to address the conflict between …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
ST-GIN: An uncertainty quantification approach in traffic data imputation with spatio-temporal graph attention and bidirectional recurrent united neural networks
Traffic data serves as a fundamental component in both research and applications within
intelligent transportation systems. However, real-world transportation data, collected from …
intelligent transportation systems. However, real-world transportation data, collected from …
A Survey of Graph Federation Learning for Data Privacy Security Scenarios
In recent years, the research on Graph Neural Networks (GNNs) and Federated Learning
(FL) has become more and more mature. However, these studies rely heavily on training …
(FL) has become more and more mature. However, these studies rely heavily on training …