Advertisement

Identifying Road Artefacts with Mobile Devices

  • Marcin BadurowiczEmail author
  • Jerzy Montusiewicz
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 538)

Abstract

In this paper, the concept of monitoring the state of roads by means of standard mobile devices (smartphones) is discussed. Using motion data from the device’s sensors - accelerometer, gyroscope, compass - and in coordination with the current location from the Global Positioning System devices, it is possible to track and log any abnormal motion which may signal possible road infrastructure problems. The authors describe the software solution created to gather motion data, as well as the results of an experiment with a real-life car and real roads in different conditions. A pilot study carried out allows to test a developed application which provides precise localization of the artefacts occurring on the road.

Keywords

Road pavement Potholes Vertical acceleration Accelerometer GPS 

Notes

Acknowledgments

Marcin Badurowicz is a participant of the project: “Qualifications for the labour market - employer friendly university”, cofinanced by European Union from European Social Fund.

References

  1. 1.
    Astartita, V., Vaiana, R., Iuele, T., Caruso, M.V., Giofre, V., De Masi, F.: Automated sensing system for monitoring of road surface quality by mobile devices. Procedia Soc. Behav. Sci. 111, 242–251 (2014)CrossRefGoogle Scholar
  2. 2.
    Bhoraskar, R., Vankadhara, N., Raman, B., Kulkarni, P.: Wolverine: traffic and road condition estimation using smartphone sensors. In: Fourth International Conference on Communication Systems and Networks (COMSNETS) (2012)Google Scholar
  3. 3.
    Czerwinski, D.: Influence of the VM manager on private cluster data mining system. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2014. CCIS, vol. 431, pp. 47–56. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  4. 4.
    Das, T., Mohan, P., Padmanabhan, V.N., Ramjee, R., Sharma, A.: PRISM: platform for remote sensing using smartphones. In: MobiSys 2010, San Francisco, California, USA, 15–18 June 2010Google Scholar
  5. 5.
    Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The pothole patrol: using a mobile sensor network for road surface monitoring. In: MobiSys 2008: Proceeding of the 6th International Conference on Mobile Systems. Applications, and Services, pp. 29–39. ACM, New York (2008)Google Scholar
  6. 6.
    Jain, M., Singh, A.P., Bali, S., Kaul, S.: Speed-breaker earlywarning system. In: NSDR 2012, 6th USENIX Conference, Boston (2012)Google Scholar
  7. 7.
    Łukasik, E., Skublewska-Paszkowska, M.: IOS mobile to route determining. Logistyka 3/2014, 5763–5770 (2014)Google Scholar
  8. 8.
    Miłosz, M., Badurowicz, M., Złomaniec, P.: Modele matematyczne optymalizacji tras w transporcie medycznym. Logistyka 6/2014, 7524–7533 (2014)Google Scholar
  9. 9.
    Mohan, P., Padmanabhan, V.N., Ramjee, R.: Nericell: using mobile smartphones for rich monitoring of road and traffic conditions. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, pp. 357–358. ACM, New York, NY, USA (2008). http://doi.acm.org/10.1145/1460412.1460450
  10. 10.
    Mohan, P., Padmanabhan, V.N., Ramjee, R.: TrafficSense: rich monitoring of road and traffic conditions using mobile devices. Microsoft Research Technical Report MSR-RT-2008-59 (2008)Google Scholar
  11. 11.
    Perttunen, M., et al.: Distributed road surface condition monitoring using mobile phones. In: Hsu, C.-H., Yang, L.T., Ma, J., Zhu, C. (eds.) UIC 2011. LNCS, vol. 6905, pp. 64–78. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  12. 12.
    Skublewska-Paszkowska, M., Smołka, J., Łukasik, E., Badurowicz, M.: Pomiar przyspieszenia w globalnym układzie współrzędnych z użycien urządzeń mobilnych. Logistyka 6/2014, 9646–9655 (2014)Google Scholar
  13. 13.
    Strazdins, G., Mednis, A., Kanonirs, G., Zviedris, R., Selavo, L.: Towards vehicular sensor networks with android smartphones for road surface monitoring. In: CONET 2011, CPSWeek 2011 (2011)Google Scholar
  14. 14.
    Antyradar i darmowa nawigacja - Yanosik.pl. http://www.yanosik.pl. Accessed 21 March 2015

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Computer ScienceLublin University of TechnologyLublinPoland

Personalised recommendations