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

Modern vehicles are equipped with a myriad of sensors. Proprioceptive sensors monitor the
vehicle status and operation, whereas exteroceptive ones sense the external environment …

A comparative analysis of animal behavior (eg, male vs. female groups) has been widely
used to elucidate behavior specific to one group since pre-Darwinian times. However, big …

The problem of recommending tours to travellers is an important and broadly studied area.
Suggested solutions include various approaches of points-of-interest (POI) recommendation …

This paper investigates the use of recurrent neural network to predict urban long-term traffic
flows. A representation of the long-term flows with related weather and contextual …

The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Many research areas depend on group anomaly detection. The use of group anomaly
detection can maintain and provide security and privacy to the data involved. This research …

Trajectory data contains rich spatial and temporal information. Turning trajectories into
graphs and then analyzing them efficiently in an AI-empowered way is a representative …

Many state-of-the-art approaches to multi-object tracking rely on detecting them in each
frame independently, grouping detections into short but reliable trajectory segments, and …

Crowdsourcing is gathering increased attention in freight transport areas, mainly applied in
internet-based services to city logistics. However, scientific research, especially …