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Smart city article details

Title	Heyciti: Healthy Cycling In A City Using Self-Adaptive Internet-Of-Things
ID_Doc	28971
Authors	Saelens M.; Kinoo Y.; Weyns D.
Year	2020
Published	Proceedings - 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2020
DOI	http://dx.doi.org/10.1109/ACSOS-C51401.2020.00061
Abstract	Air pollution is the biggest environmental health risk in Europe. Smart city initiatives that rely on the Internet-of-Things (IoT) can help addressing the problem. In this paper, we introduce HeyCitI, short for Healthy Cycling in a City using IoT. HeyCitI finds the most healthy path in a city and dynamically adapts the path on the way avoiding areas with higher pollution. To that end, HeyCitI uses up to date information from pollution sensors deployed in the city to dynamically adapt the path. We developed a simulator of HeyCitI that is compatible with DingNet, an IoT infrastructure deployed in Leuven. We give an overview of the HeyCitI and illustrate how self-adaptation improves the air quality for cyclists in a typical scenario. © 2020 IEEE.
Author Keywords	Air quality management; Internet-of-Things; self-adaptation; smart-cities

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