Abstract
Whatever traveling abroad or within their’s own cities, everyone aims at optimizing their route in terms of time, distance or even sightseeing. But, finding the best path in a crowded city is very challenging in terms of continuous changing traffic conditions, road maintenance state and user needs. Most people are busy with daily-basis activities, but elders tend to walk more and, therefore, they develop expertise on the traffic state and/or the presence of works going on the roads. Our driving ides is to take advantage of the knowledge that elderly can gather. For example, a tourist can go sightseeing in a new city by using an elder’s advice. When decisions are based on information collected from other individual, trust management is a key problem. Also in our case, we must deal with the problem of the freshness of the elder’s information and the trustworthiness of their knowledge. Our work presents a solution for this issue by proposing a new trust management in participatory sensing for path optimization using cloud based services.
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Acknowledgment
The research presented in this paper is supported by projects: DataWay: Real-time Data Processing Platform for Smart Cities: Making sense of Big Data - PN-II-RU-TE-2014-4-2731; MobiWay: Mobility Beyond Individualism: an Integrated Platform for Intelligent Transportation Systems of Tomorrow - PN-II-PT-PCCA-2013-4-0321.
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Mihaita (Mocanu), A., Dobre, C., Pop, F., Mocanu, B., Cristea, V., Esposito, C. (2017). A Trust Application in Participatory Sensing: Elder Reintegration. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_43
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DOI: https://doi.org/10.1007/978-3-319-57186-7_43
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