Abstract
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of Global Positioning System (GPS)-equipped mobile devices and other inexpensive location-Tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated a significant impact in various domains, including traffic management, urban planning, and health sciences. In this article, we present the domain of mobility data science. Towards a unified approach to mobility data science, we present a pipeline having the following components: mobility data collection, cleaning, analysis, management, and privacy. For each of these components, we explain how mobility data science differs from general data science, we survey the current state-of-The-Art, and describe open challenges for the research community in the coming years.
Originalsprache | Englisch |
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Aufsatznummer | 10 |
Fachzeitschrift | ACM Transactions on Spatial Algorithms and Systems |
Jahrgang | 10 |
Ausgabenummer | 2 |
DOIs | |
Publikationsstatus | Veröffentlicht - 1 Juli 2024 |