Accident Severity in India
Yash Kumar Arora1, Santosh Kumar2, Umesh Kumar Tiwari3, Shubhank Singhal4, Vijay Kumar5
1Yash Kumar Arora, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.
2Santosh Kumar, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.
3Umesh Kumar Tiwari, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.
4Shubhank Singhal, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.
5Vijay Kumar, Department of Physics, Graphic Era Hill University, Dehradun (Uttarakhand), India.
Manuscript received on 15 June 2020 | Revised Manuscript received on 26 June 2020 | Manuscript Published on 04 July 2020 | PP: 55-58 | Volume-8 Issue-12S3 October 2019 | Retrieval Number: L101610812S319/2020©BEIESP | DOI: 10.35940/ijitee.L1016.10812S319
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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: Among all the transportation services available, road transport is one of the most important services available. It acts as a feeder for the other services. According to the Ministry of Road Transport and Highways, the road transport amounts to the traffic of about 87% related to the passenger and 60% related to the freight. Now, there is another field, where road transport is among the top list and that field is of road accidents. In 2016, about 150785 people died in road accidents. And as the population is increasing, there is also an increase in the rate of road accidents. So, it is vital to analyze the data of road accidents for future predictions and thereby developing proper measures for this increasing rate. Many factorsresult in accidents and many cases might not have been recorded. So, the available data may not be consistent, but the data is gathered mainly from the Ministry of Road Transport and Highways and then the information was extracted from that data. This information is used for the statistical analysis for the prediction of a future road accident or accident severity.
Keywords: Polynomial Regression, R2 Score, Road Accidents
Scope of the Article: Regression and Prediction