Mobility Data Science: Perspectives and Challenges-Reference-Cited by-同舟云学术

Mobility Data Science: Perspectives and Challenges

Published:2024-06-30 Issue:2 Volume:10 Page:1-35
ISSN:2374-0353
Container-title:ACM Transactions on Spatial Algorithms and Systems
language:en
Short-container-title:ACM Trans. Spatial Algorithms Syst.

Author:

Mokbel Mohamed¹^ORCID,Sakr Mahmoud²^ORCID,Xiong Li³^ORCID,Züfle Andreas⁴^ORCID,Almeida Jussara⁵^ORCID,Anderson Taylor⁶^ORCID,Aref Walid⁷^ORCID,Andrienko Gennady⁸^ORCID,Andrienko Natalia⁸^ORCID,Cao Yang⁹^ORCID,Chawla Sanjay¹⁰^ORCID,Cheng Reynold¹¹^ORCID,Chrysanthis Panos¹²^ORCID,Fei Xiqi⁶^ORCID,Ghinita Gabriel¹³^ORCID,Graser Anita¹⁴^ORCID,Gunopulos Dimitrios¹⁵^ORCID,Jensen Christian S.¹⁶^ORCID,Kim Joon-Seok¹⁷^ORCID,Kim Kyoung-Sook¹⁸^ORCID,Kröger Peer¹⁹^ORCID,Krumm John²⁰^ORCID,Lauer Johannes²¹^ORCID,Magdy Amr²²^ORCID,Nascimento Mario²³^ORCID,Ravada Siva²⁴^ORCID,Renz Matthias²⁵^ORCID,Sacharidis Dimitris²⁶^ORCID,Salim Flora²⁷^ORCID,Sarwat Mohamed²⁸^ORCID,Schoemans Maxime²⁹^ORCID,Shahabi Cyrus²⁰^ORCID,Speckmann Bettina³⁰^ORCID,Tanin Egemen³¹^ORCID,Teng Xu³²^ORCID,Theodoridis Yannis³³^ORCID,Torp Kristian³⁴^ORCID,Trajcevski Goce³²^ORCID,van Kreveld Marc³⁵^ORCID,Wenk Carola³⁶^ORCID,Werner Martin³⁷^ORCID,Wong Raymond³⁸^ORCID,Wu Song²⁶^ORCID,Xu Jianqiu³⁹^ORCID,Youssef Moustafa⁴⁰^ORCID,Zeinalipour Demetris⁴¹^ORCID,Zhang Mengxuan⁴²^ORCID,Zimányi Esteban²⁶^ORCID

Affiliation:

1. Computer Science and Engineering, University of Minnesota, Minneapolis, United States

2. Université Libre de Bruxelles École polytechnique de Bruxelles, Bruxelles, Belgium and Ain Shams University, Cairo, Egypt

3. Emory University, Atlanta, United States

4. Computer Science, Emory University, Atlanta, United States

5. Computer Science, Federal University of Minas Gerais, Belo Horizonte Brazil

6. Department of Geography and Geoinformation Science, George Mason University, Fairfax, United States

7. Computer Science, Purdue University, West Lafayette, United States

8. KD, Fraunhofer SIT Saint Augustin Branch, Sankt Augustin, Germany

9. School of Computing, Kyoto University, Kyoto, Japan

10. Qatar Computing Research Institute, HBKU, Doha, Qatar

11. Computer Science, HKU, Hong Kong, Hong Kong

12. Computer Science, University of Pittsburgh, Pittsburgh, United States

13. Hamad Bin Khalifa University College of Science and Engineering, Doha Qatar

14. AIT Austrian Institute of Technology GmbH, Wien, Austria

15. National and Kapodistrian University of Athens, Athens Greece

16. Department of Computer Science, Aalborg University, Aalborg Denmark

17. Geospatial Science and Human Security Division, Pacific Northwest National Laboratory, Richland, United States

18. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology Tokyo Bay Area Center, Koto-ku Japan

19. Kiel University, Kiel, Germany

20. Computer Science, University of Southern California, Los Angeles, United States

21. HERE Technologies, Schwalbach am Taunus, Germany

22. Computer Science and Engineering, University of California Riverside, Riverside, United States

23. Khoury College of Computer Sciences, Northeastern University, Vancouver Canada

24. Oracle, Nashua, United States

25. Computer Science, Kiel University, Kiel, Germany

26. Data Science Lab, Université Libre de Bruxelles École polytechnique de Bruxelles, Bruxelles, Belgium

27. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

28. Arizona State University, Tempe, United States

29. Data Science Lab, Université Libre de Bruxelles École polytechnique de Bruxelles, Bruxelles Belgium

30. Technische Universiteit Eindhoven, Eindhoven, Netherlands

31. University of Melbourne, Australia, Melbourne Australia

32. Iowa State University, Ames, United States

33. University of Piraeus, Piraeus Greece

34. Aalborg Universitet, Aalborg Denmark

35. Information and Computing Sciences, Utrecht University, the Netherlands, Utrecht Netherlands

36. Department of Computer Science, Tulane University, New Orleans, United States

37. School of Engineering and Design, Techincal University of Munich, Munchen Germany

38. The Hong Kong University of Science and Technology, Hong Kong Hong Kong

39. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

40. Computer Science and Engineering, The American University in Cairo, Cairo, Egypt

41. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

42. School of Computing, Australian National University, Canberra, Australia

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.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3652158

Reference278 articles.

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