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cs.LG2025
Generalising Traffic Forecasting to Regions without Traffic Observations
Xinyu Su, Majid Sarvi, Feng Liu +2
Traffic forecasting is essential for intelligent transportation systems. Accurate forecasting relies on continuous observations collected by traffic sensors. However, due to high d…
cs.LG2024
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
Xinyu Su, Feng Liu, Yanchuan Chang +3
Traffic forecasting is crucial for transportation systems optimisation. Current models minimise the mean forecasting errors, often favouring periodic events prevalent in the traini…
cs.LG2024
Spatial-temporal Forecasting for Regions without Observations
Xinyu Su, Jianzhong Qi, Egemen Tanin +2
Spatial-temporal forecasting plays an important role in many real-world applications, such as traffic forecasting, air pollutant forecasting, crowd-flow forecasting, and so on. Sta…