Smart Driver Assistance System using IOT
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Accident detection
Accident prevention
collision control
Emergency vehicle detection.
Abstract
Road traffic accidents claims over a million lives every year in the world. Road traffic injury take the lives of nearby 1.3 million people every year at the same time injure 20-50 million people as increasing number of vehicles on the road shows an economic growth of a country. It has also caused traffic congestion and road accidents thus becoming more difficult to control. So high density traffic increases the waiting time of vehicles, but the emergency vehicles such as Ambulances, Fire disasters, VIP cars are required to reach their destiny as quickly as possible. Our proposed system is an indication system that indicates accidents may occur so that we can take necessary majors to avoid these accidents and also reduces these problems into significant level. It also focusses on providing the smart way to control the traffic when emergency vehicles are arriving towards the signal. and also alerts the driver before collision occurs and eliminates the delay time between accident occurrence and emergency personnel arrival thus use of this system will save more lives from road hazards and decrease mortality.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Anita A Ugargol | Smt Kamala and Sri Venkappa M Agadi College of Engineering and Technology , Laxmeshwar |
| 2 | Anusha Neelgund | Smt Kamala and Sri Venkappa M Agadi College of Engineering and Technology , Laxmeshwar |
| 3 | Bibiayesha Mullur | Smt Kamala and Sri Venkappa M Agadi College of Engineering and Technology , Laxmeshwar |
| 4 | Vidyashri Dulappanavar | Smt Kamala and Sri Venkappa M Agadi College of Engineering and Technology , Laxmeshwar |
| 5 | Mr. Arun Kumbi | Smt Kamala and Sri Venkappa M Agadi College of Engineering and Technology , Laxmeshwar |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Ugargol, Anita A, Neelgund, Anusha, Mullur, Bibiayesha, Dulappanavar, Vidyashri, & Kumbi, Mr. Arun (2022). Smart Driver Assistance System using IOT. International Journal of Advance Research and Innovative Ideas In Education, 8(4), 1102-1113.
MLA Style
Ugargol, Anita A, et al. "Smart Driver Assistance System using IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, 2022, pp. 1102-1113.
IEEE Style
Anita A Ugargol, Anusha Neelgund, Bibiayesha Mullur, Vidyashri Dulappanavar, and Mr. Arun Kumbi, "Smart Driver Assistance System using IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, pp. 1102-1113, 2022.
Vancouver Style
Ugargol Anita A, Neelgund Anusha, Mullur Bibiayesha, Dulappanavar Vidyashri, Kumbi Mr. Arun. Smart Driver Assistance System using IOT. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(4):1102-1113.
Harvard Style
Ugargol, Anita A, Neelgund, Anusha, Mullur, Bibiayesha, Dulappanavar, Vidyashri, & Kumbi, Mr. Arun (2022) 'Smart Driver Assistance System using IOT', International Journal of Advance Research and Innovative Ideas In Education, 8(4), pp. 1102-1113.
Chicago Style
Ugargol, Anita A, et al. "Smart Driver Assistance System using IOT." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 1102-1113.
Turabian Style
Ugargol, Anita A, et al. "Smart Driver Assistance System using IOT." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 1102-1113.
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