Journal article

From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity

Elham Naghizade, Jeffrey Chan, Martin Tomko

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | TAYLOR & FRANCIS LTD | Published : 2020

Abstract

The ubiquity of personal sensing devices has enabled the collection of large, diverse, and fine-grained spatio-temporal datasets. These datasets facilitate numerous applications from traffic monitoring and management to location-based services. Recently, there has been an increasing interest in profiling individuals' movements for personalized services based on fine-grained trajectory data. Most approaches identify the most representative paths of a user by analyzing coarse location information, e.g., frequently visited places. However, even for trips that share the same origin and destination, individuals exhibit a variety of behaviors (e.g., a school drop detour, a brief stop at a supermar..

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