Integrated Accident Prevention Detection and Response System (IAPDRS)
Vivek Upadhyay1, Simran Gupta2, Snigdha Chaturvedi3, Dhirendra Singh4
1Vivek Upadhyay*, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
2Simran Gupta, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
3Snigdha Chaturvedi, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
4Dhirendra Singh, Assistant Professor, Department of Computer Science and Engineering, Maulana Azad National Institute Technology, Bhopal, India.
Manuscript received on January 06, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2086-2089 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5190029320/2020©BEIESP | DOI: 10.35940/ijeat.C5190.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Vehicle Industry is ascending with enduring development throughout the world. Hence, there is a high plausibility of growth in individuals getting their vehicles. Although various well-being measures are being utilized to make the framework of the vehicle significantly more adaptable, there is still a vast void in the post-accident reporting centers. Road accidents are inevitable, but many lives can be spared if the emergency services with appropriate data and help are provided in time. The proposed model offers another way to deal with this issue. Also, this paper presents a prevention method to avoid accidents occurred due to unnoticed speed breakers, blind turns, pits, stop signs etc.
Keywords: Accident Detection and Prevention, Blind Turn Detection, Global Positioning System, Global System for Mobile, Internet of Things, Radio Frequency Identification.