Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …

Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

In the field of autonomous vehicles (AVs), accurately discerning commander intent and
executing linguistic commands within a visual context presents a significant challenge. This …

Predicting the crowd flow in various areas of the city is of strategic importance for traffic
control and public safety. In recent years, crowd flow prediction based on spatio-temporal …

Efficient use of renewable energy is one of the critical measures to achieve carbon
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …

With the rise of “cross-border-e-commerce”, the third-party-forwarding-logistics (3PFL)
service becomes increasingly popular. Different from the traditional third-party-logistics …

Due to the widespread applications in real-world scenarios, metro ridership prediction is a
crucial but challenging task in intelligent transportation systems. However, conventional …

With the development of electric vehicles, safety concerns, especially thermal runaways,
have garnered widespread attention. Accurate temperature prediction is essential to avoid …

With the rapid development of intelligent operation and management in metro systems,
accurate network-scale passenger flow prediction has become an essential component in …

The success of intelligent transportation systems relies heavily on accurate traffic prediction,
in which how to model the underlying spatial-temporal information from traffic data has come …