Modelling the movement uncertainty of crowdsourced human trajectories in complex urban
areas is useful for various human mobility analytics and applications. However, the existing …

High-precision indoor positioning technology is regarded as one of the core components of
artificial intelligence (AI) and Internet of Things (IoT) applications. Over the past decades …

Modelling pedestrian movement uncertainty in complex urban environments is regarded as
a meaningful and challenging task regarding the promotion of geospatial data mining and …

Due to the complexity of urban environments, localizing pedestrians indoors using mobile
terminals is an urgent task in many emerging areas. Multi-source fusion-based localization …

Most mobility modeling methods are designed to solve specific tasks, leading to questions
regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we …

Crowdsourced localization using geo-spatial big data has become an effective approach for
constructing smart-city-based location services with the fast growing number of Internet of …

Foot-mounted positioning system (FPS) is regarded as an important application for GPS-
denied scenes, including but not limited to emergency rescue, medical health, and …

Seamless positioning ability has become an essential requirement in large-scale smart city
scenes with the development of Artificial Intelligence of Things technology. The performance …

Landscape ecological risk assessment (LERA) serves as a crucial tool for guiding effective
environmental management. However, the conventional approach of LERA suffers from two …

Promoting sustainable transportation options is increasingly crucial in the pursuit of
environmentally friendly and efficient campus mobility systems. Among these options, bike …