Research Journal of Engineering and Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

IOT Based Accident Prevention and Emergency Services


Affiliations
1 Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore-641049, Tamilnadu, India
     

   Subscribe/Renew Journal


In this accelerated world, many technologies have been evolved for each and every second to improve human life style. There have been massive advancements in automobile technologies and still to come. Though advancements are made for the comfort of people, there are lot of accidents taking place because of increased vehicle density, violation of rules and carelessness. During night travel many drivers feel drowsy, they fall asleep unknowingly which leads to accident. To prevent this, sensor is used to detect whether the driver is dozy or not. If the driver is dozy the driver is alarmed through a buzzer and the speed of the car is drastically reduced. Hence, reduces the risk of major accidents. If accident occurs due to other reasons like violating the traffic rules then the accident is detected by a vibration sensor and the current global position of the vehicle is sent to nearest ambulance server by the use of Internet of Things (IoT) and ambulance can reach the accident spot immediately which in turn saves any human lives.

Keywords

IOT, Traffic Density, Accident Prevention, Global Positioning System, Automatic Emergency Services.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Dinges D, Mallis M, Maislin G, et al. Evaluation of techniques for ocular measurement as an index of fatigue and the basis for alertness management. NHTSA, Washington DC, Tech. Rep. DOT HS 808762. 1998.

  • Ji Q, Zhu Z, Lan P. Real-time nonintrusive monitors a prediction of driver fatigue. IEEE Transactions on Vehicular Technology.2004; 53(4); 1052-1068.

  • Lenne M, Triggs T, Redman J.Time of day variations in driving performance. Accident Analysis & Prevention. 1997;29 (4);431-437.

  • S.P. Bhumkar, V.V. Deotare, R.V. Babar. Accident Avoidance and Detection on Highways. International Journal of Engineering Trends and Technology (IJETT).2012; 3(2);247-252; ISSN: 2231-5381.

  • Katore Koshal P., Bhambare Rajesh R. Vehicle Accident Prevention System using GSM and GPS Technique. International Journal of Computer Trends and Technology (IJCTT).2015; 29 (2); 92-96; ISSN: 2231-2803.

  • D.B. Rane, Gaikwad Pooja Rajesh, Devkate Rashmi Rajendra and Futane Manjiree Suresh Accident Avoidance Using Eye Blink Detection. International Journal of Informative & Futuristic Research. 2015, 2 (6); 1880-1887.

  • N. B. Gohil Embedded Based Vehicle Speed Control System Using Wireless Technology. International Journal of Advance Engineering and Research Development. 2015; 2 (11); 2348-6406.

  • Boopathi K. Govindaraju, M. Sangeetha, M. Jagadeeshraja and M. Dhanasu Real Time based smart vehicle monitoring and alert using GSM and GPS. International Journal of Advanced Research in Computer and Communication Engineering. 2014; 3(11).


Abstract Views: 630

PDF Views: 0




  • IOT Based Accident Prevention and Emergency Services

Abstract Views: 630  |  PDF Views: 0

Authors

K. Premalatha
Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore-641049, Tamilnadu, India
J. J. Nandhini
Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore-641049, Tamilnadu, India

Abstract


In this accelerated world, many technologies have been evolved for each and every second to improve human life style. There have been massive advancements in automobile technologies and still to come. Though advancements are made for the comfort of people, there are lot of accidents taking place because of increased vehicle density, violation of rules and carelessness. During night travel many drivers feel drowsy, they fall asleep unknowingly which leads to accident. To prevent this, sensor is used to detect whether the driver is dozy or not. If the driver is dozy the driver is alarmed through a buzzer and the speed of the car is drastically reduced. Hence, reduces the risk of major accidents. If accident occurs due to other reasons like violating the traffic rules then the accident is detected by a vibration sensor and the current global position of the vehicle is sent to nearest ambulance server by the use of Internet of Things (IoT) and ambulance can reach the accident spot immediately which in turn saves any human lives.

Keywords


IOT, Traffic Density, Accident Prevention, Global Positioning System, Automatic Emergency Services.

References