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Smart Route Planning Using Open Data and Participatory Sensing

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 451)


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.


  • Participatory sensing
  • Open-data
  • Open-source
  • Smart-city-routing

A. Elgammal—Assistant Professor, Faculty of Computers and Information, Cairo University


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Correspondence to Vivek Nallur .

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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.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17836-3

  • Online ISBN: 978-3-319-17837-0

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