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Mobility data captures the locations of moving objects such as humans,animals, and cars. With the availability of GPS-equipped mobile devices andother inexpensive location-tracking technologies, mobility data is collectedubiquitously. In recent years, the use of mobility data has demonstratedsignificant impact in various domains including traffic management, urbanplanning, and health sciences. In this paper, we present the emerging domain ofmobility data science. Towards a unified approach to mobility data science, weenvision a pipeline having the following components: mobility data collection,cleaning, analysis, management, and privacy. For each of these components, weexplain how mobility data science differs from general data science, we surveythe current state of the art and describe open challenges for the researchcommunity in the coming years.

Towards Mobility Data Science (Vision Paper)