Multivariate Modeling to handle Urban Air Pollution Data observed trough Vehicular Sensor Networks

  • Israel L. C. Vasconcelos UFAL
  • André L. L. Aquino UFAL


This work presents an interdisciplinary assessment that looks in-depth at the tracking of air quality in urban environments. The proposed application takes advantage of Vehicle Sensor Networks (VSN) by embedding sensor nodes to public transportation, spreading the sampling activity through different places visited during the route. We perform environmental modeling based on real data collected from the city of São Paulo, considering the multivariate spatial behavior of five different air pollutants from fossil-fueled vehicles (CO, O3, PM10, NO2 and SO2) simultaneously while it also varies in time. Finally, our VSN-based approach showed an improvement of 126 times lower error and 11 times higher coverage about conventional monitoring with air quality stations.

Palavras-chave: nvironmental modeling, Vehicle Sensor Networks, Multivariate Data Analysis


Akyildiz, I., Su, W., Sankarasubramaniam, Y., and Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4):393–422.

Aquino, A., Junior, O., Frery, A., Albuquerque, E., and Mini, R. (2012). Musa: multivariate sampling algorithm for wireless sensor networks. IEEE Transactions on Computers, 63(4):968–978.

Aurenhammer, F. (1991). Voronoi diagrams: A survey of a fundamental data structure. ACM Computing Surveys, 23:345–405.

Devarakonda, S., Sevusu, P., Liu, H., Liu, R., Iftode, L., and Nath, B. (2013). Real-time air quality monitoring through mobile sensing in metropolitan areas. In Proceedings of the 2nd ACM SIGKDD int. workshop on urban computing.

Frery, A., Ramos, H., Alencar-Neto, J., Nakamura, E., and Loureiro, A. (2010). Data driven performance evaluation of wireless sensor networks. Sensors, 10(3):2150–2168.

Hu, S.-C., Wang, Y.-C., Huang, C.-Y., and Tseng, Y.-C. (2009). A vehicular wireless sensor network for co2 monitoring. In SENSORS, 2009 IEEE.

Hu, S.-C., Wang, Y.-C., Huang, C.-Y., and Tseng, Y.-C. (2011). Measuring air quality in city areas by vehicular wireless sensor networks. Journal of Systems and Software, 84(11):2005–2012.

Kaivonen, S. and Ngai, E. (2020). Real-time air pollution monitoring with sensors on city bus. Digital Communications and Networks, 6(1):23–30.

Khedo, K., Perseedoss, R., Mungur, A., et al. (2010). A wireless sensor network air pollution monitoring system. International Journal of Wireless & Mobile Networks, 2(2):31–45.

Ma, Y., Richards, M., Ghanem, M., Guo, Y., and Hassard, J. (2008). Air pollution monitoring and mining based on sensor grid in London. Sensors, 8(6):3601– 3623.

Pebesma, E. and Heuvelink, G. (2016). Spatio-temporal interpolation using gstat. RFID Journal, 8(1):204–218.

Rashid, B. and Rehmani, M. H. (2016). Applications of wireless sensor networks for urban areas: A survey. Journal of network and computer applications, 60:192–219.

Völgyesi, P., Nádas, A., Koutsoukos, X., and Lédeczi, Á. (2008). Air quality monitoring with sensormap. In 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

Wang, Y.-C. and Chen, G.-W. (2017). Efficient data gathering and estimation for metropolitan air quality monitoring by using vehicular sensor networks. IEEE Transactions on Vehicular Technology, 66(8):7234–7248.

Yi, W., Lo, K., Mak, T., Leung, K. S., Leung, Y., and Meng, M. L. (2015). A survey of wireless sensor network based air pollution monitoring systems. Sensors, 15(12):31392–31427.
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VASCONCELOS, Israel L. C.; AQUINO, André L. L.. Multivariate Modeling to handle Urban Air Pollution Data observed trough Vehicular Sensor Networks. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 13. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 132-141. ISSN 2595-6183. DOI: