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2015
Springer

Smart Route Planning Using Open Data and Participatory Sensing

4 years 2 months ago
Smart Route Planning Using Open Data and Participatory Sensing
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.
Vivek Nallur, Amal Elgammal, Siobhán Clarke
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where OSS
Authors Vivek Nallur, Amal Elgammal, Siobhán Clarke
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