Abstract
Intelligent Transportations Systems (ITS) are complex information and communication technologies platforms aimed for a better and cost effectiveness public transport organization. Our aim is to extend the basic of ITS platform for real time environmental data monitoring and processing. Mobile environmental sensing is becoming one of the best options to monitor our environment due to its high flexibility. In this context, the proposed system utilizes public transportation vehicle intelligence and sensing to monitor a set of environmental parameters over a large area by “filling in the gaps” where people go but environmental monitoring sensor infrastructure has not yet been installed. In this article, we show as well how to extract useful data from low cost and uncalibrated environmental sensor nodes. The presented architecture is focused on low cost and highly scalable architecture in term of type and number of sensors that can be installed and processed. This work presents some data from a testing deployed infrastructure in Albania and the measured data indicate the usefulness of the proposed architecture.
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Agastra, E., Kamo, B., Shinko, I., Kushe, R. (2018). Data Interpretation Using Mobile Uncalibrated Sensor for Urban Environmental Monitoring. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_53
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DOI: https://doi.org/10.1007/978-3-319-75928-9_53
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