I. J. of Electrical & Electronics Research
Review Article | 
Detecting Vehicles at Hair Pin Curves using Internet of Things (IOT)
Author(s): Dr. Amit Kumar Goel1, Anmol Kushwaha2, Vartika Srivastava3, Anjali Singh4, Kashaf Khan5, Sharyar Malik6and Dr. Krishna Kant Agrawal7
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 4, Special Issue on Complexity-BDA-ML
Publisher : FOREX Publication
Published : 30 October 2022
e-ISSN : 2347-470X
Page(s) : 895-898
Abstract
With increase in the number of vehicles especially personal vehicles there is an increase in accidents due to which, every year almost 1.30 million people die due to accidents involving vehicles. There is no effective way to prevent accidents and know the location where the accidents happen to get help easily, especially in hilly areas. In Hilly areas, there are no straight roads for vehicles and sometimes we encounter so many curves, some of which are dangerous that we have no idea if there are any other vehicles coming or not if not maneuvered properly can cause an accident. Our proposed system uses a microcontroller named raspberry pi and different IOT sensors like ultrasonic sensors and devices like LED and LCD which is an effective, and cost- effective solution to prevent the accidents at hair pin curves.
Keywords: Accident Prevention, Vehicle detection, Hair Pin Curves, Ultrasonic sensor, Raspberry pi, Light Emitting Diode (LED), Liquid Crystal Display (LCD), Internet of Things (IOT).
Dr. Amit Kumar Goel*, Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: amit.goel@galgotiasuniversity.edu.in
Anmol Kushwaha, Research Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: anmol.avi.kushwaha@gmail.com
Vartika Srivastava, Research Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: vartikasrivastava234@gmail.com
Anjali Singh, Research Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: anjali120414singh@gmail.com
Kashaf Khan, Research Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: khankashaf786786@gmail.com
Sharyar Malik, Research Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: sharyarmalik0918@gmail.com
Dr. Krishna Kant Agrawal, Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Email: krishna.agrawal@galgotiasuniversity.edu.in
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Dr. Amit Kumar Goel, Anmol Kushwaha, Vartika Srivastava, Anjali Singh, Kashaf Khan, Sharyar Malik and Dr. Krishna Kant Agrawal (2022), Detecting Vehicles at Hair Pin Curves using Internet of Things (IOT). IJEER 10(4), 895-898. DOI: 10.37391/IJEER.100424.