Smart Route Planning Using Open Data and Participatory Sensing - Open Source Systems: Adoption and Impact, International Conference, OSS 2015 Access content directly
Conference Papers Year : 2015

Smart Route Planning Using Open Data and Participatory Sensing

Vivek Nallur
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Amal Elgammal
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Siobhán Clarke
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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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hal-01320163 , version 1 (23-05-2016)





Vivek Nallur, Amal Elgammal, Siobhán Clarke. Smart Route Planning Using Open Data and Participatory Sensing. 11th International Conference on Open Source Systems (OSS), May 2015, Florence, Italy. pp.91-100, ⟨10.1007/978-3-319-17837-0_9⟩. ⟨hal-01320163⟩
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