In the intelligent transportation system, traffic forecasting, which is generally characterized as
a graph spatial-temporal prediction task, plays a crucial role. It is challenging to generate …

Geopolitical instability is exacerbating the risk of catastrophic cyber-attacks striking where
defences are weak. Nevertheless, cyber-attack trend forecasting predominantly relies on …

Online car-hailing has brought convenience to daily travel, whose accurate prediction
benefits drivers and helps managers to grasp the characteristics of urban travel, so as to …

Travel time estimation (TTE) is a crucial and challenging task due to the complex spatial and
dynamic temporal correlations between local and global traffic regions. Though many …

Accurate traffic prediction is crucial for the development of intelligent transportation systems
(ITS) and various smart applications. To achieve this, effectively capturing the complex …

A critical challenge for predicting urban traffic flows is to simultaneously process time series
and spatial features from heterogeneous traffic data collected by diverse Internet of Things …

Accurate traffic prediction is a powerful factor of intelligent transportation systems to make
assisted decisions. However, existing methods are deficient in modeling long series spatio …

Traffic flow prediction, a crucial application of intelligent transportation systems (ITS), has
become an increasingly prevalent research topic. However, existing models that achieved …

In various graph-based predictions, traffic forecasting is essential for predicting future traffic
patterns, and it plays a critical role in the study of intelligent transportation systems. Current …

Urban traffic prediction is essential for intelligent transportation systems. However, traffic
data often exhibit highly complex spatio-temporal correlations, posing challenges for …