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Smart City Air Pollution Monitoring and Prediction: A Case Study of Skopje

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ICT Innovations 2020. Machine Learning and Applications (ICT Innovations 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1316))

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Abstract

One of the key aspects of smart cities is the enhancement of awareness of the key stakeholders as well as the general population regarding air pollution. Citizens often remain unaware of the pollution in their immediate surrounding which usually has strong correlation with the local environment and micro-climate. This paper presents an Internet of Things based system for real-time monitoring and prediction of air pollution. First, a general layered management model for an Internet of Things based holistic framework is given by defining its integral levels and their main tasks as observed in state-of-the-art solutions. The value of data is increased by developing a suitable data processing sub-system. Using deep learning techniques, it provides predictions for future pollution levels as well as times to reaching alarming thresholds. The sub-system is built and tested on data for the city of Skopje. Although the data resolution used in the experiments is low, the results are very promising. The integration of this module with an Internet of Things infrastructure for sensing the air pollution will significantly improve overall performance due to the intrinsic nature of the techniques employed.

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Notes

  1. 1.

    https://darksky.net/dev (last accessed 30.04.2020).

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Acknowledgements

This work was partially financed by the Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje.

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Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, 1000, Skopje, Macedonia

    Jovan Kalajdjieski, Mladen Korunoski, Biljana Risteska Stojkoska & Kire Trivodaliev

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  1. Jovan Kalajdjieski
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  2. Mladen Korunoski
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  3. Biljana Risteska Stojkoska
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  4. Kire Trivodaliev
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Corresponding author

Correspondence to Kire Trivodaliev .

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Editors and Affiliations

  1. University Ss. Cyril and Methodius, Skopje, North Macedonia

    Vesna Dimitrova

  2. University Ss. Cyril and Methodius, Skopje, North Macedonia

    Ivica Dimitrovski

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Kalajdjieski, J., Korunoski, M., Stojkoska, B.R., Trivodaliev, K. (2020). Smart City Air Pollution Monitoring and Prediction: A Case Study of Skopje. In: Dimitrova, V., Dimitrovski, I. (eds) ICT Innovations 2020. Machine Learning and Applications. ICT Innovations 2020. Communications in Computer and Information Science, vol 1316. Springer, Cham. https://doi.org/10.1007/978-3-030-62098-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-62098-1_2

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