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Design of Auto-Braking System for Accident Prevention and Accident Detection System Using IoT

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Abstract

In recent times, frequencies of accidents have increased considerably. This is because of an increase in the number of vehicles, carelessness of drivers, and over speeding. Over speeding is the main reason for increase in the number of accidents. In this work, the primary concern is to decrease the impact of collision, and after that communicating with the nearby hospital for providing necessary support to the victims. According to data provided by the Ministry of National Highway, most of the deaths occurred because of not getting help in crucial times or not getting an ambulance service in time. Our main aim is to communicate with the nearest hospital through GPS and help the victims. Our work is divided into two main parts. One is sensing and communication part. Other is the braking part which has three steps. When the distance of the vehicle from the obstacle is more than 30 m then the system is disabled. If the distance becomes less than 30 m then a warning is generated by the system for the driver to apply brakes. If the distance is further reduced and becomes less than 4 m understanding that the driver has lost control over the vehicle, control is fully transferred to the braking system and plugging braking is used to stop the vehicle instantly to reduce the impact of a possible collision.

Keywords

  • Accident prevention
  • Auto-braking system
  • Accident detection
  • Internet of Things

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  • DOI: 10.1007/978-3-030-52624-5_7
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References

  1. Tian, D., Zhang, C., Duan, X., Wang, X.: An automatic car accident detection method based on cooperative vehicle infrastructure systems. IEEE Access. 7, 127453–127463 (2019)

    CrossRef  Google Scholar 

  2. Celesti, A., Galletta, A., Carnevale, L., Fazio, M., Ĺay-Ekuakille, A., Villari, M.: An IoT cloud system for traffic monitoring and vehicular accidents prevention based on mobile sensor data processing. IEEE Sensors J. 18(12), 4795–4802 (2018)

    CrossRef  Google Scholar 

  3. Chang, W., Chen, L., Su, K.: DeepCrash: a deep learning-based internet of vehicles system for head-on and single-vehicle accident detection with emergency notification. IEEE Access. 7, 148163–148175 (2019)

    CrossRef  Google Scholar 

  4. Coelingh, E., Eidehall, A., Bengtsson, M.: Collision warning with full auto brake and pedestrian detection – a practical example of automatic emergency braking. In: 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, pp. 155–160 (2010)

    Google Scholar 

  5. Verma, M.K., Mukherjee, V., Yadav, V.K., Mehta, G.: Planning and optimizing the cost of DGs for stability of green field distribution network. In: International Conference on Internet of Things: Smart Innovation and Usages, pp. 1–6. Birla Institute of Applied Sciences, Bhimtal (2018)

    Google Scholar 

  6. Mehta, G., Mittra, G., Yadav, V.K.: Application of IoT to optimize data center operations. In: International conference on computing, power and communication technologies, pp. 738–742. Galgotias University, Greater Noida (2018)

    Google Scholar 

  7. Pagadala, V., Rani, S., Priya, B.K.: Design and implementation of the prevention and analysis of the accident for automobiles. In: International Conference on Advances in Computing, Communications and Informatics, Bangalore, pp. 2283–2289 (2018)

    Google Scholar 

  8. Mahamud, M.S., Monsur, M., Zishan, M.S.R.: An arduino based accident prevention and identification system for vehicles. In: IEEE Region 10 Humanitarian Technology Conference, Dhaka, pp. 555–559 (2017)

    Google Scholar 

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Mehta, G., Singh, M., Dubey, S., Uzair, Mishra, Y. (2021). Design of Auto-Braking System for Accident Prevention and Accident Detection System Using IoT. In: Gupta, D., Hugo C. de Albuquerque, V., Khanna, A., Mehta, P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-52624-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52623-8

  • Online ISBN: 978-3-030-52624-5

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