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Architecture of Car Measurement System for Driver Monitoring

  • Conference paper
Communication Technologies for Vehicles (Nets4Cars/Nets4Trains 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7266))

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Abstract

This paper addresses the today’s social needs to ensure security in road traffic, a task which becomes difficult due to the growing number of drivers and, therefore, increasing traffic intensity. The rising need for mobility constitutes a huge challenge for the institutions responsible for improving the road traffic safety. The paper describes selected hardware components which can be used to build an integrated warning system. Its measuring modules supply data on the road traffic environment parameters, the vehicle dynamics, and psychophysiological behavior of the drivers. An important aspect of interoperation of such hardware components is reliable communication and data synchronization. The presented solutions are based on the CAN, WiFi, ISM 2.4 GHz, and GSM/GPRS interfaces. To minimize the risk of data loss, the data is stored redundantly in the local memory structures, as well as in a remote archiving system to which the data is transmitted through wireless communication protocols.

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References

  1. Bak-Gajda, D., Bak, J.: Psychology of transport and road traffic safety. Difin, Warszawa (2010) (in Polish)

    Google Scholar 

  2. Khaisongkram, W., Raksincharoensak, P., Shimosaka, M., Mori, T., Sato, T., Nagai, M.: Automobile Driving Behavior Recognition Using Boosting Sequential Labeling Method for Adaptive Driver Assistance Systems. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds.) KI 2008. LNCS (LNAI), vol. 5243, pp. 103–110. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Sakhi, S., Khettat, A., Hank, M., Elouardi, A., Bouaziz, S., Belhocine, M.: An Embedded Data Logger Based Vehicle Trajectory Monitoring System. In: International Conference on Multimedia Computing and Systems, Ouarzazate, Morocco, pp. 11–16 (2009)

    Google Scholar 

  4. Norma, N.H., Saad, Z., Isa, I.S., Ishak, S.: Software design and development for automotive online monitoring system. In: 7th IEEE International Colloquium on Signal Processing and its Applications, pp. 489–494 (2011)

    Google Scholar 

  5. Dong, Y., Hu, Z., Uchimura, K., Murayama, N.: Driver Inattention Monitoring System for Intelligent Vehicles: A Review. IEEE Transactions on Intelligent Transportation Systems, 596–614 (2011)

    Google Scholar 

  6. Aljaafreh, A., Khalel, M., Al-Fraheed, I., Almarahleh, K., Al-Shwaabkeh, R., Al-Etawi, S., Shaqareen, W.: Vehicular data acquisition system for fleet management automation. In: Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, pp. 130–133 (2011)

    Google Scholar 

  7. Yang, J., Chang, T.N., Hou, E.: Driver distraction detection for vehicular monitoring. In: IECON Proceedings (Industrial Electronics Conference), pp. 108–113 (2010)

    Google Scholar 

  8. Gavriilidis, A., Schwerdtfeger, T., Velten, J., Schauland, S., Höhmann, L., Haselhoff, A., Boschen, F., Kummert, A.: Multisensor data fusion for advanced driver assistance systems - The active safety car project. In: 7th International Workshop on Multidimensional (nD) Systems (2011)

    Google Scholar 

  9. Nabi, Z., Alvi, A., Mehmood, R.: Towards Standardization of In-Car Sensors. In: Strang, T., Festag, A., Vinel, A., Mehmood, R., Rico Garcia, C., Röckl, M. (eds.) Nets4Trains/Nets4Cars 2011. LNCS, vol. 6596, pp. 216–223. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  10. Scialfa, C.T., Guzy, L.T., Leibowitz, H.W., Garvey, P.M., Tyrrell, R.A.: Age differences in estimating vehicle velocity. Psychology and Aging 6, 60–66 (1991); Sommer, M., Herle, M., Häusler, J., Risser, R., Schützhofer, B., Chaloupka, C.: Cognitive and personality determinants of fitness to drive. Transportation Research Part F: Traffic Psychology and Behaviour 11, 362–375 (2008)

    Google Scholar 

  11. Veitch, J.A.: Light source flicker: When and how does it affect us? In: Conference Voices for SSL Efficiency 2010 DOE Solid-State Lighting Market Introduction Workshop, Philadelphia (2010)

    Google Scholar 

  12. Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology, ”Standards of Measurement, Physiological Interpretation, and Clinical Use”. Circulation 93, 1043–1065 (1996), doi:10.1161/01.CIR.93.5.1043

    Google Scholar 

  13. Filary, S.: Security in public transport. Wydawnictwo Wyższej Szkoły Bezpieczeństwa, Poznań (2010) (in Polish)

    Google Scholar 

  14. Mitas, A.W., Czapla, Z., Bugdol, M., Ryguła, A.: Recording and assessing biometric parameters of drivers to improve the road safety. Seria Transport, vol. 66, pp. 72–77. Zeszyty Naukowe Politechniki Ślaskiej, Gliwice (2010) (in Polish)

    Google Scholar 

  15. Piotrowski, Z.: Robust Algorithm for Heart Rate (HR) detection and Heart Rate Variability (HRV) Estimation. Acta Physica Polonica A, Optical and Acoustical Methods in Science and Technology 118(1), 131–135 (2010)

    MathSciNet  Google Scholar 

  16. Wiciak, J., Borkowski, B.: The concept of a system for identification of the dangerous areas for people with visual dysfunction. Acta Physica Polonica A 119(6A), 921–924 (2011)

    Google Scholar 

  17. Iwaniec, M., Wiciak, J.: Prediction of vibroacoustical parameters on a cruise ship. Acta Acustica united with Acustica 88(5), 722–725 (2002)

    Google Scholar 

  18. Pankowska, M., Hojan-Jezierska, D., Skrodzka, E., Szymiec, E., Kubisz, L., Swidzinski, T., Wicherc, A.: Effect of ELF magnetic stimulation on distortion product of otoacoustic emission in tinnitus patients. Acta Physica Polonica A 119(6A), 1035–1039 (2011)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Różanowski, K., Sondej, T., Piotrowski, Z., Sawicki, K. (2012). Architecture of Car Measurement System for Driver Monitoring. In: Vinel, A., Mehmood, R., Berbineau, M., Garcia, C.R., Huang, CM., Chilamkurti, N. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains 2012. Lecture Notes in Computer Science, vol 7266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29667-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-29667-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29666-6

  • Online ISBN: 978-3-642-29667-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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