Smart Route Planning Using Open Data and Participatory Sensing - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2015

Smart Route Planning Using Open Data and Participatory Sensing

Vivek Nallur
  • Function : Author
  • PersonId : 982527
Amal Elgammal
  • Function : Author
  • PersonId : 982528
Siobhán Clarke
  • Function : Author
  • PersonId : 982529

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.
Fichier principal
Vignette du fichier
337452_1_En_9_Chapter.pdf (771.8 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01320163 , version 1 (23-05-2016)

Licence

Identifiers

Cite

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⟩
159 View
240 Download

Altmetric

Share

More