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English Information

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Authors
# Name
1 Ramon Lima(ramonbarros6@gmail.com)
2 Wilamis Aviz(wmaa@ic.ufal.br)
3 Fabio J. Coutinho(fabio@ic.ufal.br)
4 João Paulo Clarindo(jpcsantos@usp.br)

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Reference
# Reference
1 Amaral, B. G. D., Nasser, R., Casanova, M. A., and Lopes, H. (2016). Busesinrio: Buses as mobile traffic sensors: Managing the bus gps data in the city of rio de janeiro. Proceedings - IEEE International Conference on Mobile Data Management, pages 369–372.
2 Atzori, L., Iera, A., and Morabito, G. (2017). Understanding the internet of things: definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Networks, 56:122–140.
3 Castro, J. P., Carniel, A., and Ciferri, C. (2020). Analyzing spatial analytics systems based on Hadoop and Spark: A user perspective. Software: Practice and Experience, 50(12):2121–2144.
4 Eldrandaly, K. A., Abdel-Basset, M., and Shawky, L. A. (2019). Internet of Spatial Things: A New Reference Model With Insight Analysis. IEEE Access, 7:19653– 19669.
5 Huneiti, A. M. and Adwan, O. Y. (2019). Extracting interesting regions and trips from taxi trajectory data. Modern Applied Science, 13:258.
6 Ishwarappa and Anuradha, J. (2015). A brief introduction on big data 5vs characteristics and hadoop technology. Procedia Computer Science, 48:319–324. International Conference on Computer, Communication and Convergence (ICCC 2015).
7 Liu, X., Sun, L., Sun, Q., and Gao, G. (2020). Spatial variation of taxi demand using gps trajectories and poi data. Journal of Advanced Transportation, 2020
8 Nguyen, K., Yang, J., Lin, Y., Lin, J., Chiang, Y.-Y., and Shahabi, C. (2018). Los angeles metro bus data analysis using gps trajectory and schedule data (demo paper). In SIGSPATIAL 18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 560–563.
9 ONU (2018). 68% of the world population projected to live in urban areas by 2050, says un.
10 Patel, K. K. and Patel, S. M. (2016). Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges. IJSR, 6(5):6122–6132.
11 Santos, J. P. C., Castro, J. P. d. C., and Ciferri, C. D. d. A. (2020). SOLAP Query Processing over IoT Networks in Smart Cities: A Novel Architecture. In Anais do XXI GeoInfo - Simpósio Brasileiro de Geoinformática, pages 118–129, Sao José dos Campos, Brazil. INPE.
12 Tibari, S. and Mazri, T. (2019). Security in a smart city: Challenges and solutions. ACM International Conference Proceeding Series.
13 Yeh, H. (2017). The effects of successful ict-based smart city services: From citizens’ perspectives. Government Information Quarterly, 34:556–565.