Smart Route Planning Using Open Data and Participatory Sensing

Abstract : Smart cities are not merely the infusion of technology into a city’s infrastructure, but also require citizens interacting with their urban environment in a smart and informed manner. Transportation is key aspect of smart cities. In this paper, we present a smart route planning open-source system; SMART-GH utilizes open data and participatory sensing, where citizens actively participate in collecting data about the city in their daily environment, e.g., noise, air pollution, etc. SMART-GH then augments the routing logic with sensor data to answer queries such as ‘return the least noisy route’. SMART-GH enables citizens to make smarter decisions about their daily commute, and subsequently improve their quality of life.
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Communication dans un congrès
Ernesto Damiani; Fulvio Frati; Dirk Riehle; Anthony I. Wasserman. 11th International Conference on Open Source Systems (OSS), May 2015, Florence, Italy. IFIP Advances in Information and Communication Technology, AICT-451, pp.91-100, 2015, Open Source Systems: Adoption and Impact. 〈10.1007/978-3-319-17837-0_9〉
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Vivek Nallur, Amal Elgammal, Siobhán Clarke. Smart Route Planning Using Open Data and Participatory Sensing. Ernesto Damiani; Fulvio Frati; Dirk Riehle; Anthony I. Wasserman. 11th International Conference on Open Source Systems (OSS), May 2015, Florence, Italy. IFIP Advances in Information and Communication Technology, AICT-451, pp.91-100, 2015, Open Source Systems: Adoption and Impact. 〈10.1007/978-3-319-17837-0_9〉. 〈hal-01320163〉

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