Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Accurate road networks are of great importance to online food delivery (OFD) services. In
recent years, various data sources have been used to extract road information. Remote …

Generating trajectory data is among promising solutions to addressing privacy concerns,
collection costs, and proprietary restrictions usually associated with human mobility …

Transformers have been an efficient alternative to recurrent neural networks in many
sequential learning tasks. When adapting transformers to modeling trajectories, we …

Road extraction is a process of automatically generating road maps mainly from satellite
images. Existing models all target to generate roads from the scratch despite that a large …

With the prevalence of positioning techniques, a prodigious number of spatio-temporal data
is generated constantly. To effectively support sophisticated urban applications, eg, location …

Accurate road networks play a crucial role in modern mobile applications such as navigation
and last-mile delivery. Most existing studies primarily focus on generating road networks in …

Recent advances in location-acquisition techniques have generated massive spatial
trajectory data. Recurrent Neural Networks (RNNs) are modern tools for modeling such …

Estimating the time of arrival is a crucial task in intelligent transportation systems. Although
considerable efforts have been made to solve this problem, most of them decompose a …

With the advances of web-of-things, human mobility, eg, GPS trajectories of vehicles,
sharing bikes, and mobile devices, reflects people's travel patterns and preferences, which …