Advertisement

The Absolute and Social Comparative Analysis of Driver Performance on a Simulated Road Network

  • Gautam R. Dange
  • Pratheep K. Paranthaman
  • Marco Samaritani
  • Oussama Smiai
  • Francesco BellottiEmail author
  • Riccardo Berta
  • Alessandro De Gloria
  • Mario Marchesoni
  • Stefano Massucco
  • Jens Pontow
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9599)

Abstract

The process of modeling a qualitative evaluation schema to gauge the driver performance is a prominent aspect in enhancing the driving standards. We have implemented a comparative analysis module to estimate the driver performance based on absolute and social comparisons. In this approach we simulated a road network of 40 vehicle users and analyzed the performance of the users by our interlinked system architecture dedicated for simulation, data sharing and representation of the entire information on Map-based user interface. Another key aspect that was performed in this approach was the usage of Map-Matching module to discard the inaccuracies in Geo-references while representing the coordinates on Google Maps. We believe, this evaluation approach will broaden the overview of performance analysis and provide more insight to the user on all grounds in improvising the driving standards.

References

  1. 1.
    Stapleton, A.J.: Serious games: serious opportunities. In: Health Care (Don. Mills), vol. 1, pp. 1–6, September 2004Google Scholar
  2. 2.
    Diewald, S., Möller, A., Roalter, L., Stockinger, T., Kranz, M.: Gameful design in the automotive domain: review, outlook and challenges. In: Proceedings of 5th International Conference on Automotive User Interfaces Interactive Vehicular Applications, pp. 262–265 (2013)Google Scholar
  3. 3.
    Shi, C., Lee, H.J., Kurczak, J., Lee, A.: Routine driving infotainment app: gamification of performance driving. In: Proceedings of 4th International Conference on Automotive User Interfaces Interactive Vehicular Applications, pp. 181–183 (2012)Google Scholar
  4. 4.
  5. 5.
    Prendinger, H., Oliveira, J., Catarino, J., Madruga, M., Prada, R.: ICO2: a networked game for collecting large-scale eco-driving behavior data. IEEE Internet Comput. 18(3), 28–35 (2014)CrossRefGoogle Scholar
  6. 6.
    McCall, R., Koenig, V.: Gaming concepts and incentives to change driver behaviour. In: 2010 11th Annual Mediterranean Ad Hoc Networking Workshop Med-Hoc-Net 2012, pp. 146–151 (2012)Google Scholar
  7. 7.
    Goncalves, J., Rossetti, R.J.F., Olaverri-Monreal, C.: IC-DEEP: a serious games based application to assess the ergonomics of in-vehicle information systems. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 1809–1814 (2012)Google Scholar
  8. 8.
    Goncalves, J.S.V., Rossetti, R.J.F, Jacob, J., Goncalves, J., Olaverri-Monreal, C., Coelho, A., Rodrigues, R.: Testing advanced driver assistance systems with a serious-game-based human factors analysis suite. In: IEEE Intelligent Vehicles Symposium Proceedings, no. Iv, pp. 13–18 (2014)Google Scholar
  9. 9.
    Amditis, A., Andreone, L., Pagle, K., Markkula, G., Deregibus, E., Rue, M.R., Bellotti, F., Engelsberg, A., Brouwer, R., Peters, B., De Gloria, A.: Towards the automotive HMI of the future; overview of the aide integrated project results. IEEE Trans. Intell. Transp. Syst. 11(3), 567–578 (2010)CrossRefGoogle Scholar
  10. 10.
    Bellotti, F., De Gloria, A., Montanari, R., Dosio, N., Morreale, D.: COMUNICAR: designing a multimedia, context-aware human-machine interface for cars. Cogn. Technol. Work 7(1), 36–45 (2005)CrossRefGoogle Scholar
  11. 11.
  12. 12.
    FraunhoferFokus. https://www.fokus.fraunhofer.de/en. Accessed 27 Oct 2015
  13. 13.
    Quddus, M.A., Ochieng, W.Y., Noland, R.B.: Current map-matching algorithms for transport applications: state-of-the art and future research directions. Transp. Res. Part C Emerg. Technol. 15(5), 312–328 (2007)CrossRefGoogle Scholar
  14. 14.
    Lai, J., Tang, W., He, Y.: Team tactics in military serious game. In: Proceedings - 2011 4th International Symposium Computational Intelligence and Design (ISCID 2011), vol. 1, pp. 75–78 (2011)Google Scholar
  15. 15.
    De Carvalho, C.V., Lopes, M., Gomes, D.: Serious games for lean manufacturing: the 5S game. IEEE Rev. Iberoam. Tecnol. Del Aprendiz. 8(4), 191–196 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Gautam R. Dange
    • 1
  • Pratheep K. Paranthaman
    • 1
  • Marco Samaritani
    • 1
  • Oussama Smiai
    • 1
  • Francesco Bellotti
    • 1
    Email author
  • Riccardo Berta
    • 1
  • Alessandro De Gloria
    • 1
  • Mario Marchesoni
    • 1
  • Stefano Massucco
    • 1
  • Jens Pontow
    • 2
  1. 1.DITENUniversity of GenoaGenoaItaly
  2. 2.Automotive Services and Communication TechnologiesFraunhofer Institute for Open Communication Systems FOKUSBerlinGermany

Personalised recommendations