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.
A. Elgammal—Assistant Professor, Faculty of Computers and Information, Cairo University
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Nallur, V., Elgammal, A., Clarke, S. (2015). Smart Route Planning Using Open Data and Participatory Sensing. In: Damiani, E., Frati, F., Riehle, D., Wasserman, A. (eds) Open Source Systems: Adoption and Impact. OSS 2015. IFIP Advances in Information and Communication Technology, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-17837-0_9
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DOI: https://doi.org/10.1007/978-3-319-17837-0_9
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