Smart Route Planning Using Open Data and Participatory Sensing

TitleSmart Route Planning Using Open Data and Participatory Sensing
Publication TypeBook Chapter
Year of Publication2015
AuthorsNallur, V, Elgammal, A, Clarke, S
Secondary AuthorsDamiani, E, Frati, F, Riehle, D, Wasserman, AI
Secondary TitleOpen Source Systems: Adoption and Impact
Series TitleIFIP Advances in Information and Communication Technology
PublisherSpringer International Publishing
ISBN Number978-3-319-17836-3
KeywordsOpen-data, open-source, Participatory sensing, Smart-city-routing

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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