iDriveSafe:
A Mobile Knowledge-Based System for On-Board Diagnostics and Car Driving Assistance

Application description

iDriveSafe is a mobile App for on-board diagnostics and car driving dssistance. Through the acquisition of further OBD-II parameters, the system is able to evaluate vehicle health (in terms of emissions, fuel consumption and gear lever) and risk level, exploiting semantic-based matchmaking in order to suggest users how to reduce or even eliminate danger and get better performance and lower environmental impact.

Improvements have been introduced in the design of the user interface (UI) respect to the first software release. UI is now composed of a set of coloured icons. In particular, in addition to the upper part that shows information about weather, traffic and road, in the Advice section there are icons for the following parameters:

  • instant and average fuel consumption;
  • emission levels and gear lever;
  • fuel autonomy and vehicle speed;
  • user driving style (careful or aggressive)
  • level of driver attention;
  • available safety devices.

Each icon changes colour, depending on semantic matchmaking results, to indicate a low, medium or high value. The system emits an acoustic signal to alert drivers of problems.

iDriveSafe user interface

iDriveSafe user interface

Demo Videos

iDriveSafe 2.0 Demo

iDriveSafe 1.0 - Test #1 (Uneven Road)

iDriveSafe 2.0 - Test #2 (High Density Traffic)

iDriveSafe 2.0 - Test #3 (Rain)

Publications

Scientific publications about iDriveSafe



  1. M. Ruta, F. Scioscia, F. Gramegna, E. Di Sciascio. A Mobile Knowledge-based System for On-Board Diagnostics and Car Driving Assistance. The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM2010), page 91-96, 2010.

  2. M. Ruta, F. Scioscia, F. Gramegna, G. Loseto, E. Di Sciascio. Knowledge-based Real-Time Car Monitoring and Driving Assistance. 20th Italian Symposium on Advanced Databases Systems (SEBD 2012), page 289-294, jun 2012.

  3. M. Ruta, M. Binetti, F. Scioscia, F. Gramegna, E. Di Sciascio. Simple and Effective Knowledge-based Vehicle Monitoring and Driving Assistance. 16th Meeting of the EURO Working Group on Transportation (EWGT 2013), 2013.

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