Skip to main content

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

  • Conference paper
  • First Online:
Games and Learning Alliance (GALA 2015)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Stapleton, A.J.: Serious games: serious opportunities. In: Health Care (Don. Mills), vol. 1, pp. 1–6, September 2004

    Google Scholar 

  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. 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. Fiat eco: Drive. http://ecodrive.driveuconnect.eu/

  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)

    Article  Google Scholar 

  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. 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. 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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  11. CRF. http://www.crf.it/en-US/Company/Pages/CompanyProfilo.aspx. Accessed 8 May 2015

  12. FraunhoferFokus. https://www.fokus.fraunhofer.de/en. Accessed 27 Oct 2015

  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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesco Bellotti .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Dange, G.R. et al. (2016). The Absolute and Social Comparative Analysis of Driver Performance on a Simulated Road Network. In: De Gloria, A., Veltkamp, R. (eds) Games and Learning Alliance. GALA 2015. Lecture Notes in Computer Science(), vol 9599. Springer, Cham. https://doi.org/10.1007/978-3-319-40216-1_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-40216-1_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40215-4

  • Online ISBN: 978-3-319-40216-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics