5 papers · 1 filter
Toward an Integrated Cross-Urban Accident Prevention System: A Multi-Task Spatial-Temporal Learning Framework for Urban Safety Management
Jiayu Fang, Zhiqi Shao, Haoning Xi +2
The development of a cross-city accident prevention system is particularly challenging due to the heterogeneity, inconsistent reporting, and inherently clustered, sparse, cyclical,…
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
Jiayu Fang, Zhiqi Shao, S T Boris Choy +1
Directed graphs are widely used to model asymmetric relationships in real-world systems. However, existing directed graph neural networks often struggle to jointly capture directio…
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
Zhiqi Shao, Haoning Xi, Haohui Lu +3
The rapid advancement of Intelligent Transportation Systems (ITS) presents challenges, particularly with missing data in multi-modal transportation and the complexity of handling d…
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction
Zhiqi Shao, Michael G. H. Bell, Ze Wang +3
Traffic flow prediction, a critical aspect of intelligent transportation systems, has been increasingly popular in the field of artificial intelligence, driven by the availability…
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction
Zhiqi Shao, Xusheng Yao, Ze Wang +1
Accurate traffic flow prediction is crucial for optimizing traffic management, enhancing road safety, and reducing environmental impacts. Existing models face challenges with long…