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2016 | OriginalPaper | Chapter

Post-accident Assistance Using On-Board Diagnostics and Smartphones

Authors : Arghya Biswas, Abhishek Pal

Published in: Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing

Publisher: Springer India

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Abstract

Today, we have reached a stage where we humans cannot imagine a life without automobiles. With considerable increase in the use of automobiles in our day-to-day life there is a proportional rise in the safety requirement in the vehicular network. Medical services are required to reach the accident location in minimal amount of time. Thus, we propose a system to accelerate the process of medical assistances and emergency services, reaching to the victims involved in a road accident. Smartphones give us a mean to establish wireless communication with the on-board diagnostics (OBD-II) and provide us with the computation power to monitor and detect various accident scenarios. The system determines the accident location using Global Positioning System (GPS) and broadcasts the location of the accident to the emergency services in the vicinity using the available GSM cellular network.

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Literature
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go back to reference Johnson, D.A., Trivedi, M.M. (Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego): Driving style recognition using a smartphone as a sensor platform. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA, 5–7 Oct 2011 Johnson, D.A., Trivedi, M.M. (Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego): Driving style recognition using a smartphone as a sensor platform. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA, 5–7 Oct 2011
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go back to reference Shaout, A.K., Bodenmiller, A.E. (The Electrical and Computer Engineering Department. The University of Michigan-Dearborn): A Mobile Application for Monitoring Inefficient and Unsafe Driving Behaviour Shaout, A.K., Bodenmiller, A.E. (The Electrical and Computer Engineering Department. The University of Michigan-Dearborn): A Mobile Application for Monitoring Inefficient and Unsafe Driving Behaviour
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go back to reference Zaldivar, J., Calafate, C.T., Cano, J.C., Manzoni, P. (Department of Computer Engineering, Universitat Politècnica de València): Providing accident detection in vehicular networks through OBD-II devices and android-based smartphones. In: 5th IEEE Workshop on User Mobility and Vehicular Networks Zaldivar, J., Calafate, C.T., Cano, J.C., Manzoni, P. (Department of Computer Engineering, Universitat Politècnica de València): Providing accident detection in vehicular networks through OBD-II devices and android-based smartphones. In: 5th IEEE Workshop on User Mobility and Vehicular Networks
Metadata
Title
Post-accident Assistance Using On-Board Diagnostics and Smartphones
Authors
Arghya Biswas
Abhishek Pal
Copyright Year
2016
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-2638-3_89