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The Conceptual Approach of System for Automatic Vehicle Accident Detection and Searching for Life Signs of Casualties

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Advanced Computing and Systems for Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 883))

Abstract

The European eSafety initiative aims to improve the safety and efficiency of road transport. The main element of eSafety is the pan-European eCall project—an in-vehicle system which idea is to inform about road collisions or serious accidents. As estimated by the European Commission, the implemented system will reduce services’ response time by 40%. This will save 2,500 people a year. In 2015, the European Parliament adopted the legislation that from the end of March 2018 all new cars from the EU should be equipped with the eCall system. The limitation of this idea is that only small part of cars driven in UE are brand new (about 3.7% brand new cars were sold in 2015). This paper presents the first concept of an onboard eCall device which can be installed at the owners’ request in used vehicles. The proposed system will be able to detect a road accident, indicate the number of vehicle’s occupants, report their vital functions, and send that information to dedicated emergency services via duplex communication channel.

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Acknowledgements

This work was supported by grant S/WI/1/2018 and S/WI/2/2018 from Bialystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.

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Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Anna Lupinska-Dubicka, Marek Tabedzki, Marcin Adamski, Miroslaw Omieljanowicz, Maciej Szymkowski, Marek Gruszewski, Adam Klimowicz & Khalid Saeed

  2. Faculty of Mathematics and Informatics, University of Bialystok, Bialystok, Poland

    Mariusz Rybnik

  3. Faculty of Mechanical Engineering, Department of Automatic Control and Robotics, Bialystok University of Technology, Bialystok, Poland

    Andrzej Omieljanowicz

  4. Faculty of Computer and Food Science, Lomza State University of Applied Sciences, Lomza, Poland

    Grzegorz Rubin

Authors
  1. Anna Lupinska-Dubicka
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  2. Marek Tabedzki
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  3. Marcin Adamski
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  6. Andrzej Omieljanowicz
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  7. Maciej Szymkowski
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  8. Marek Gruszewski
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  11. Khalid Saeed
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Corresponding author

Correspondence to Anna Lupinska-Dubicka .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari, Mestre, Venice, Venezia, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Lupinska-Dubicka, A. et al. (2019). The Conceptual Approach of System for Automatic Vehicle Accident Detection and Searching for Life Signs of Casualties. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 883. Springer, Singapore. https://doi.org/10.1007/978-981-13-3702-4_5

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