i-manager Publications

Automatic Accident Detection and Tracking of Vehicles by Using MEMS

Vulavabeti Raghunath Reddy*, Chandra Mohan Reddy Sivappagari**

* Post Graduate, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula,Andhra Pradesh, India.

** Associate Professor, Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula,Andhra Pradesh, India.

Periodicity:September - November'2018
DOI : https://doi.org/10.26634/jele.9.1.14771

Abstract

The improvement of knowledge and substructure takes through our inhales natural. The arrival of equipment consumes improved the road traffic exposures and the road accident take place regularly which practicalities enormous injury of lifetime and belongings because of the concentrated emergency facilities. Our development resolve deliver an right justification to this problem. An accelerometer can be recycled popular a car apprehension submission so that hazardous motivating can be searched. It container be rummage-sale as a crash or rollover detector of the vehicle over and subsequent an accident, an accidents can be recognized with a help of an accerlometer sensor. The main aim of implemented this project identification of accidents through vibrations the sensor is notice the signals of vehicle moves, the MEMS sensor is pass the signal to the ARM controller to performed action. The signal is send to the GSM module it gives accident location of information to the rescue team or pre-defined numbers after receiving the message rescue or predefined numbers know the accident location. Then takes the immediate action.

Keywords

MEMS, GPS, GSM, ARM.

How to Cite this Article?

Reddy,V.R.,K.,& Sivappagari,C.M.R. (2018). Automatic Accident Detection and Tracking of Vehicles by Using MEMS. i-manager’s Journal on Electronics Engineering , 9(1), 34-40. https://doi.org/10.26634/jele.9.1.14771

References

[1]. Accelerometer. (2018). In Sensorwiki. Retrieved from https://sensorwiki.org/sensors/accelerometer

[2]. Alert Scheme using Mems and GSM for Womens Safety. (2018). In IJETCSE . Retrieved from http://www.ijetcse.com/wp-content/plugins/ijetcse/file/ upload/docx/23CS1856-pdf.pdf

[3]. Goge, A., Goge, T., Thorat, P., & Dixit, R. M. (2017). Intelligent Vehicle Accident Identification by using GPS and GSM. System, 4(5).

[4]. Liquid-Crystal Display. (n.d.). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Liquid-crystal_display

[5]. Matthews, V. O., & Adetiba, E. (2011). Vehicle Accident Alert and Locator (VAAL). International Journal of Electrical & Computer Sciences IJECS-IJENS, 11(2), 35- 38.

[6]. Mazidi, M. A., Mazidi, J. G., & Mckinlay, R. D. (2000). The 8051 microcontroller and embedded systems. New Delhi.

[7]. Pooja, S. (2013). Vehicle tracking system using GPS. International Journal of Science and Research (IJSR), India Online ISSN, 2319-7064.

[8]. Ramani, R., Valarmathy, S., SuthanthiraVanitha, N., Selvaraju, S., Thiruppathi, M., & Thangam, R. (2013). Vehicle tracking and locking system based on GSM and GPS. IJ Intelligent Systems and Applications, 9, 86-93.

[9]. Sane, N. H., Patil, D. S., Thakare, S. D., & Rokade, A. V. Real time vehicle accident detection and tracking using GPS and GSM. International Journal on Recent and Innovation Trends in Computing and Communication.

[10]. Taylor, M. A. P. (2001). Intelligent Transport Systems Handbook of Transport Systems and Traffic Control (Handbooks in Transport) 461-475.

[11]. Varma, S. K. C., Poornesh Varma, T., & Harsha. (2013). Automatic Vehicle Accident Detection and Messaging system using GPS and GSM Modems. International Journal of Scientific & Engineering Research, 4(8).

[12]. Wei, W., & Hanbo, F. (2011, April). Traffic accident automatic detection and remote alarm device. In Electric Information and Control Engineering (ICEICE), 2011 International Conference on (pp. 910-913). IEEE.

[13]. Zhao, Y. (2000). Mobile phone location determination and its impact on intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems, 1(1), 55-64.

Automatic Accident Detection and Tracking of Vehicles by Using MEMS

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25