DriveLaB: A Speeding Reductive Mobile Crowd Sensing Platform

Student thesis: Master thesis (including HD thesis)

  • Dennis Rasmussen
  • Thomas Frisk Olsen
  • Kasper Fromm Pedersen
4. term, Computer Science (IT), Master (Master Programme)
In this report, a speeding reductive Mobile Crowd Sensing platform is designed, implemented and evaluated. The platform includes a client application available for Android and iOS with speeding reductive measures incorporated. The server performs real-time map matching, data calculations, and provides real-time feedback. The data is stored in a data warehouse which enables the platform to offer a public API with anonymised data. Users are encouraged to participate through the client application by offering traffic related feedback, calculate driving scores and displaying a competitive leaderboard.
Publication date9 Jun 2017
Number of pages75
ID: 259449032