A novel ANP-PSO framework for clustering transportation modes from GPS tracking data

Abstract The widespread adoption of Global Positioning Systems (GPS) in transportation has significantly contributed to the understanding of human behavior, enabling the extraction of valuable travel information. However, identifying transportation modes from GPS data remains a complex and under-researched area due to the analytical challenges it presents. While various methods, ranging from rule-based approaches to advanced machine learning algorithms, have been employed to identify transportat