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Smart Route Planning Using Open Data and Participatory Sensing

  • Vivek Nallur
  • Amal Elgammal
  • Siobhán Clarke
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 451)

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.

Keywords

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

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  1. 1.FutureCities, Distributed Systems GroupTrinity CollegeDublinIreland

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