MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2019.1707835
Abstract: ABSTRACT The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic enrichment of mobility data in several contexts in the last years has led to the generation of large volumes of trajectory data. In… read more here.
Keywords: space time; multiple aspect; trajectory classification;
ANALYTiC: An Active Learning System for Trajectory Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2017.3621221
Abstract: The increasing availability and use of positioning devices has resulted in large volumes of trajectory data. However, semantic annotations for such data are typically added by domain experts, which is a time-consuming task. Machine-learning algorithms… read more here.
Keywords: active learning; learning; learning system; system trajectory ... See more keywords
Unraveling Urban Mobility: A Domain Knowledge-Free Trajectory Classification Using Gramian Angular Fields
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3631275
Abstract: The diffusion of GPS-equipped devices has resulted in the generation of vast amounts of spatio-temporal data. This data represents a fundamental resource to conduct analysis on transportation networks. It is therefore of great interest to… read more here.
Keywords: angular fields; domain knowledge; trajectory classification; gramian angular ... See more keywords
K-M LLM-pro: Physics-guided cross-modal adaptation for fine-grained spatiotemporal trajectory classification
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0334412
Abstract: Spatiotemporal trajectory classification is essential for intelligent perception systems but faces challenges including weak separability of dynamic features, representation collapse under limited samples, and heterogeneous conflicts in multimodal data. To address these issues, we propose… read more here.
Keywords: spatiotemporal trajectory; trajectory classification; physics; llm pro ... See more keywords
Trajectory classification through Freeman’s curve encoding and entropic analysis
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0334694
Abstract: The classification of trajectories in two dimensions was done through an entropic analysis of their coded representation. The steps include discretising the trajectory into an 8-symbol code using the Freeman procedure. The resulting sequence is… read more here.
Keywords: classification freeman; entropic analysis; analysis; trajectory classification ... See more keywords