Multi-agent trajectory prediction, as a critical task in modeling complex interactions of objects
in dynamic systems, has attracted significant research attention in recent years. Despite the …

Trajectory prediction of vehicles is of great importance to various smart city applications
ranging from transportation scheduling, vehicle navigation, to location-based …

We study the task of spatio-temporal extrapolation that generates data at target locations
from surrounding contexts in a graph. This task is crucial as sensors that collect data are …

The provincial highway transportation system supports substantial cross-city transitions of
people and logistics, where the prediction tasks in terms of station/road traffic, urban …

Computing trajectory similarity plays a critical role in various spatio-temporal applications
that involve trajectory analysis. In recent years, trajectory representation learning has been …

Obtaining urban-scale vehicle trajectories is essential to understand urban mobility and
benefits various downstream applications. The mobility knowledge obtained from existing …

Short-term route prediction on road networks allows us to anticipate the future trajectories of
road users, enabling a plethora of intelligent transportation applications such as dynamic …

최근 GPS 에 기반한 위치 수집 기술의 발전과 스마트폰과 같은 GPS 를 탑재한 디바이스의
폭발적인 증가로 사람, 차량, 선박, 항공체와 같은 움직이는 물체의 지리적 위치에 대한 엄청난 …

Nowadays, there are ubiquitousness of GPS sensors in various devices collecting,
transmitting and storing tremendous trajectory data. However, such an unprecedented scale …

Trajectory prediction is a key task in the study of human mobility. This task can be done by
considering a sequence of GPS locations and using different mechanisms to predict the …