With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …

In geographic information science, a plethora of different approaches and methods is used
to assess the similarity of movement. Some of these approaches term two moving objects …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

Pervasive and sensor-driven systems are by nature open and extensible, both in terms of
input and tasks they are required to perform. Data streams coming from sensors are …

Data about movements of various objects are collected in growing amounts by means of
current tracking technologies. Traditional approaches to visualization and interactive …

Transformer-based AI systems enhance human capabilities across various domains but face
challenges in transportation due to domain-specific knowledge and multimodal data …

Movement data link together space, time, and objects positioned in space and time. They
hold valuable and multifaceted information about moving objects, properties of space and …

Time geography is a constraints-oriented approach to understanding human activities in
space and time. Time geography recognizes that humans have fundamental spatial and …

Trajectory database (TD) management is a relatively new topic of database research, which
has emerged due to the explosion of mobile devices and positioning technologies …

The analysis of large amounts of multidimensional road traffic data for anomaly detection is
a complex task. Visual analytics can bridge the gap between computational and human …