An Efficient Approach for Accident Detection System

An Efficient Approach for Accident Detection System

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-4
Year of Publication : 2019
Authors : Tanaya Achalkar, Shrinath Panmand, Saurabh Naik, Dilip Patil, Rachna Sonkumwar
DOI :  10.14445/22315381/IJETT-V67I4P202

Citation 

MLA Style: Tanaya Achalkar, Shrinath Panmand, Saurabh Naik, Dilip Patil, Rachna Sonkumwar "An Efficient Approach for Accident Detection System" International Journal of Engineering Trends and Technology 67.4 (2019): 4-7.

APA Style:Tanaya Achalkar, Shrinath Panmand, Saurabh Naik, Dilip Patil, Rachna Sonkumwar (2019). An Efficient Approach for Accident Detection System. International Journal of Engineering Trends and Technology, 67(4), 4-7.

Abstract
Web of Things is a developing innovation having the capacity to alter the way we live. In IoT vision, each and each ‘thing’ has the capacity of talking to each other that brings the thought of Web of Everything in reality. Various IoT administrations can make our standard of living simpler, more intelligent, and indeed more secure. Utilizing IoT in planning a few uncommon administrations can make a lifesaver framework. In this paper, we have displayed an IoT empowered approach that can give crisis communication and area following administrations in an inaccessible car that meets a disastrous mischance or any other crisis circumstance. Quickly after a mischance or a crisis, the framework either begins naturally or may be activated physically. Depending upon sort of crisis (police and security, fire and protect, therapeutic, or respectful) it starts communication and offers basic data e.g. area data, a set of pertinent pictures taken from prefixed points etc. with fitting server / specialist. Arrangement of intuitively real-time interactive media communication, real-time area following etc. have moreover been coordinates to the proposed framework to screen the precise condition in real-time premise.

Reference
[1] L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A Survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010.
[2] E. A. Lee, “Cyber Physical Systems: Design Challenges,” in Object Oriented Real-Time Distributed Computing (ISORC), 2008 11th IEEE International Symposium on. IEEE, 2008, pp. 363–369.
[3] A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of Ihings for Smart Cities,” Internet of Things Journal, IEEE, vol. 1, no. 1, pp. 22–32, 2014.
[4] “Digital India,” Online, 2015, (Last accessed March 18, 2016). [Online]. Available: http://www.digitalindia.gov.in/
[5] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[6] M. Chen, “Towards Smart City: M2M Communications with Software Agent Intelligence,” Multimedia Tools and Applications, vol. 67, no. 1, pp. 167–178, 2013.
[7] NCRB, “Accidental Deaths and Suicides in India 2014,” New Delhi: National Crime Records Bureau, Ministry of Home Affairs, Tech. Rep., 2015.
[8] G. Van Brummelen, Heavenly Mathematics: The Forgotten Art of Spherical Trigonometry. Princeton University Press, 2013.
[9] A. Cenedese, A. Zanella, L. Vangelista, and M. Zorzi, “Padova Smart City: An Urban Internet of Things Experimentation,” in World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on a. IEEE, 2014, pp. 1–6.
[10] J. Maleki, E. Foroutan, and M. Rajabi, “Intelligent Alarm System for Road Collision,” Journal of Earth Science and Engineering, vol. 1, no. 3, 2011.
[11] F. J. Martinez, C.-K. Toh, J.-C. Cano, C. T. Calafate, and P. Manzoni, “Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks,” Intelligent Transportation Sys- tems Magazine, IEEE, vol. 2, no. 2, pp. 6–20, 2010.
[12] C. Thompson, J. White, B. Dougherty, A. Albright, and D. C. Schmidt, “Using Smartphones and Wireless Mobile Sensor Networks to Detect Car Accidents and Provide Situational Awareness to Emergency Respon- ders,” in ICST Conf., June, 2010.
[13] R. A. Young, “Association Between Embedded Cellular Phone Calls and Vehicle Crashes Involving Airbag Deployment,” in 1st International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Aspen, CO, 2001, pp. 390–400.
[14] “911 Assist Overview,” Online, 2016, last accessed 15th March, 2016. [Online]. Available: https://owner.ford.com/how-tos/sync-technology/ sync/settings/911-assist-overview.html
[15] Y.-K. Ki and D.-Y. Lee, “A Traffic Accident Recording and Reporting Model at Intersections,” IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 2, pp. 188–194, 2007.
[16] M. Graham, S. A. Hale, and D. Gaffney, “Where in The World are You? Geolocation and Language Identification in Twitter,” The Professional Geographer, vol. 66, no. 4, pp. 568–578, 2014.
[17] P. J. Zehler, “Method for Setting The Geolocation of a Non-GPS Enabled Device,” 2013, uS Patent 8,467,990.
[18] S. Monk, Raspberry Pi cookbook: Software and hardware problems and solutions. ” O?Reilly Media, Inc.”, 2016.
[19] E. Dahlman, S. Parkvall, and J. Skold, 4G: LTE/LTE-advanced for mobile broadband. Academic press, 2013.
[20] F. Vahid and T. Givargis, Embedded System Design: A Unified Hard- ware/ Software Introduction. John Wiley & Sons New York, NY, 2002, vol. 4.
[21] D. H. Cho, “Navigation Service System and Method Using Mobile Device,” 2014, uS Patent 8,775,067.
[22] S. Koley and P. Ghosal, “Addressing Hardware Security Challenges in Internet of Things: Recent Trends and Possible Solutions,” in 12th IEEE International Conference on Advanced and Trusted Computing (UIC- ATC-ScalCom-CBDCom-IoP), 2015, pp. 517–520.

Keywords
Internet of Things (IoT); Smart City; Emergency Location Tracking; Emergency Rescue System;