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IoT-Enabled Integrated Intelligence System for Automatic Pothole Detection, Pollution Monitoring, Post-Accident Medical Response, and Breakdown Assistance

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Computing and Network Sustainability

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 12))

Abstract

Some of the problems faced by commuters today are as follows: (i) accidents due to running over potholes; (ii) reporting accidents to call for medical help (especially if the accident is on isolated/remote roads); (iii) inability to identify the vehicle which was involved in the accident; (iv) unexpected vehicle breakdown; and (v) monitoring the levels of gas emission from vehicles. In our paper, we propose a solution for the above-mentioned problems using an application that works based on the concept of IoT. The application uses various sensors to collect the relevant details and send it to the (i) traffic-related authorities to fix the identified potholes; (ii) hospitals/ambulance services to help the accident victims; (iii) legal authorities to use it as evidence while investigating accidents; (iv) vehicle service centers to fix the vehicle; and (v) to monitor vehicular pollution.

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References

  1. Chen S, Xu H, Liu D, Hu B, Wang H (2014) A vision of IoT: applications, challenges, and opportunities with China perspective. IEEE Internet Things J

    Google Scholar 

  2. Chidester A, Hinch J, Mercer TC, Schultz KS (1999) Recording automotive crash event data. In: International symposium on transportation recorders on 3–5 May 1999, Arlington, Virginia

    Google Scholar 

  3. Vong C-M, Wong P-K, Ip W-F (2011) Framework of vehicle emission inspection and control through RFID and traffic lights. In: Proceedings 2011 international conference on system science and engineering

    Google Scholar 

  4. Mertz C (2011) Continuous road damage detection using regular service vehicles. In: Proceedings of the ITS world congress, Oct 2011

    Google Scholar 

  5. Jengo CM, Hughes D, LaVeigne JD, Curtis I (2005) Pothole detection and road condition assessment using hyperspectral imagery

    Google Scholar 

  6. Mednis A, Strazdins G, Zviedris R, Kanonirs G, Selavo L (2011) Real time pothole detection using Android smartphones with accelerometers. In: 2011 International conference on distributed computing in sensor systems and workshops (DCOSS), 27–29, June 2011, pp 1–6. doi:10.1109/DCOSS.2011.5982206

  7. De Silva GD, Perera RS, Laxaman NM, Thilakarathna KM, Keppitiyagama C, de Zoysa K (2008) Automated pothole detection system. In: International IT conference (IITC 08), Colombo, Sri Lanka, Oct, 2008

    Google Scholar 

  8. Rode, SS, Vijay S, Goyal P, Kulkarni P (2009) Pothole detection and warning system: infrastructure support and system design. In: 2009 International Conference on electronic computer technology, 20–22 Feb 2009. doi:10.1109/ICECT.2009.152

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Acknowledgments

We acknowledge the support and help provided by the HoD, Department of Computer Science & Engineering, Principal, and Management of M.S. Ramaiah Institute of Technology, Bengaluru (an autonomous college affiliated to VTU).

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Correspondence to Nikhil Bhat .

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Bhat, N., Bhatt, K.P., Prithvi Alva, S., Raj, B.M.T., Sanjeetha, R. (2017). IoT-Enabled Integrated Intelligence System for Automatic Pothole Detection, Pollution Monitoring, Post-Accident Medical Response, and Breakdown Assistance. In: Vishwakarma, H., Akashe, S. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-10-3935-5_38

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  • DOI: https://doi.org/10.1007/978-981-10-3935-5_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3934-8

  • Online ISBN: 978-981-10-3935-5

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