Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, May 23, 2016 - 2:59:36 PM
Last modification on : Friday, February 25, 2022 - 8:01:11 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views


Files downloads