
This research presents an ontology-based approach to infer incomplete mobile vehicle trajectories, enhancing urban traffic analysis by transforming raw spatio-temporal data into semantic locations and leveraging knowledge-driven inference methods. The approach aims to improve the accuracy and interpretability of mobility pattern analysis in smart city applications.
Multi-Hazard Vulnerability and Resilience Building: Cross Cutting Issues, 2023, Pages 127-143
Multi-Hazard Vulnerability and Resilience Building: Cross Cutting Issues, 2023, Pages 347-361
