Manuscript Number : CSEIT20631059

IOT Based On-Road Vehicle Breakdown Assistance

Authors(6) :-Megha Dongre, Shalini Verma, Achal Dighore, Sanjeevani Tumdam, Kalyani Dhote, Prof. Milind Tote

Our lives got simpler with the Quick accumulation of innovation and framework. The coming of innovation has likewise risen the traffic perils and the road accident occurs over and again which causes gigantic death toll and property on account of the poor emergency offices. Due to chatting/talking on the Cell phone during driving and furthermore because of rash driving of the drivers. Numerous lives could have been spared if emergency service could get accident data and contact in time. Vehicle accidents are one of the most driving reasons for setbacks. The time between an accident event and the emergency restorative work force are dispatched to the accident area is the significant factor in the endurance rates after an accident. By wiping out that time between an accident event and the specialists on call are dispatched to the scene diminishes death rates with the goal that we can spare lives. And another issue in our daily life we don’t know when and where we get stuck on the road and we don’t know where we are and we also won’t be able to find the nearest mechanic location. This project targets to develop an android application that will help the user to register through installing the application and can get access to the nearest mechanics location and contact him personally this uses the internet and messages permissions to go on with the application. This application is an android app which can be run on any android compatible tablets and mobile phones. Now with this day by day advancing technology we get access to the mechanic and mechanic gets access to the location user throught the GPS location send to him and them both will save a lot of time and that’s how it is done and this can be used anywhere and at any time. In this paper, we are center about all the current framework or analogies for accident revealing and anticipation to order another framework which is improved and succinct of existing properties. Overall, we are pondering the framework which decreases the time of activity, for example, suggestion to police, implication to family, intimation to hospital and a lot more angle

Authors and Affiliations

Megha Dongre
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India
Shalini Verma
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India
Achal Dighore
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India
Sanjeevani Tumdam
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India
Kalyani Dhote
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India
Prof. Milind Tote
Department of Computer Science and Engineering, J D College of engineering and management, Nagpur, Maharashtra, India

Accident Detection, Vehicle Breakdown, Accident Prevention, Location Tracking, GPS/GSM, IoT.

  1. D. Selvathi, P. Pavithra and T. Preethi, "Intelligent transportation system for accident prevention and detection, " in 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), India, 2017.
  2. WHO, "WORLD HEALTH ORGANISATION, " 2018. Online]. Available: http://www.who.int/violence_injury_prevention/road_traffic/en/. Accessed 28 July 2018].
  3. V. Ahmed and N. P. Jawarkar, "Design of LowCost Versatile Microcontroller Based System Using Cell Phone for Accident Detection and Prevention, " in 2013 6th International.
  4. Indranil Nikose, Tushar Raut,”Review Paper on Smart Helmet using GSM and GPS Technology”,International Journal of Advanced Research in computer and communication engineering,vol.6. Issue 2, February 2017.
  5. Nitin Agarwal, Anshul Kumar Singe,”Smart Helmet”, International Research Journal of Engineering and Technology”,Volume 02 Issue: 02 , May-2015 .
  6. Manjesh N, Prof. Sudarshan Raj “Smart Helmet Using GSM & GPS Technology for Accident Detection and Reporting System” Internal Journal for Electrical and Electronics Research, Vol: 2, Issue: 4, October 2014.
  7. Aishwarya S.R, AshishRai, Prasanth M.A, Savitha S.C “An IoT Based Accident Prevention &Tracking System For Night Drivers” ISSN 2320-9801 Vol.3, Issue, 4 April 2015
  8. Arjun K., Prithviraj and Ashwitha A. (2017), “Sensor Based Application for Smart Vehicles”, International Journal of Latest Trends in Engineering and Technology, 8 (1), pp. 526532.
  9. Rangan P. R. (2017), “Vehicle Speed Sensing and Smoke Detecting System”, International Journal of Computer Science and Engineering, pp. 27-33.
  10. Aishwarya et al. S. R. (2015), “An IoT Based Accident Prevention & Tracking System for Night Drivers”, International Journal of Innovative Research in Computer and Communication Engineering, 3 (4), pp. 3493-3499.
  11. S. K. Datta and C. Bonnet. Smart m2m gateway is based architecture for m2m device and endpoint management. In 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pages 61–68, Sept 2014.
  12. S. K.Datta andC. Bonnet. Internetofthingsand m2mcommunications as enablers of smart city initiatives. In 2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies, pages 393–398, Sept 2015.
  13. RITA, “Policy White paper, Achieving the Vision: From VII to IntelliDrive”, ITS JPO, U.S. DOT, 2010.
  14. White Paper: The Scope of Smart Roadside, RITA, ITS JPO, U.S. DOT, (2010) The IntelliDrive Website. Online]. Available: www.intellidriveusa.org/.../Smart%20Roadside%20White%20Paper%2 0Final%20April%202010.pdf.
  15. “Implementation of Cloud Messaging System Based on GCM Service”. Computational and Information Sciences (ICCIS), 2013 Fifth International Conference. Penghui Li Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China Yan Chen; Taoying Li; Renyuan Wang; Junxiong Sun.
  16. “A public safety application of GPS-enabled smartphones and the android operating system”- Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference-Whipple, J.Inf. Syst. Eng. Dept., Southwest Res. Inst., San Antonio, TX, USA Arensman, w.; Boler, M.S.
  17. Mi-JinKim, Jong-Wook Jang, Yun-Sik Yu,”A Study on In-Vehicle Diagnosis System using OBD-II with Navigation”, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.9, September 2010.
  18. Javier E. Meseguer, Carlos T. Calafate, Juan Carlos Cano, Pietro Manzoni, “Driving Styles: a smartphone application to assess driver behaviour”.

Publication Details

Published in : Volume 6 | Issue 4 | July-August 2020
Date of Publication : 2020-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 517-521
Manuscript Number : CSEIT20631059
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megha Dongre, Shalini Verma, Achal Dighore, Sanjeevani Tumdam, Kalyani Dhote, Prof. Milind Tote, "IOT Based On-Road Vehicle Breakdown Assistance", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.517-521, July-August-2020. |          | BibTeX | RIS | CSV

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