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Vol. 4  No. 10 (2018) · Articles

A REVIEW ON ACCIDENT ANALYSIS IN ROAD TRAFFIC AND PREDICTION MODEL

Er. Divyansh Gupta
Assistant Professor, Deptt. Of Civil Engineering, Mahatma Gandhi Govt. Engg. College Kotla, Himachal, India , IN

Nikhil
Assistant Professor, Deptt. Of Civil Engineering, Mahatma Gandhi Govt. Engg. College Kotla, Himachal, India , IN

Komal
Assistant Professor, Deptt. Of Civil Engineering, Mahatma Gandhi Govt. Engg. College Kotla, Himachal, India , IN

Abhishek
Assistant Professor, Deptt. Of Civil Engineering, Mahatma Gandhi Govt. Engg. College Kotla, Himachal, India , IN

📅 Published: October 2018

Keywords: vehicular population, road traffic accidents, socio-economic, current scenario, safety measures

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Abstract

Road accidents is a matter of serious concern in India. There is tremendous increase in number of people killed per number of road accidents with increase in vehicular population. Road traffic accidents injuries are one of major cause of death and disabilities in the country imposing huge socio-economic costs. Due to road accidents, developing country like India suffers from a huge economic loss .Traffic flow characteristics, traffic analysis is related to traffic control. For this purpose accurate data of road accidents is required to control and suggest safety measures on road traffic accidents. Without accurate data and deep understanding of crash risks the problem of road accidents cannot be solved. This study aims to provide brief information about the studies conducted for the road
traffic analysis, current scenario of road accidents and to find the factors responsible for road accidents. After reviewing the whole analysis on road traffic accidents, factors responsible for road accidents are being evaluated and safety measures, recommendations are provided to avoid the damage to precious life of living beings.

How to Cite

Er. Divyansh Gupta, Nikhil, Komal, Abhishek, “A REVIEW ON ACCIDENT ANALYSIS IN ROAD TRAFFIC AND PREDICTION MODEL,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 4, no. 10, pp. 292-296, October 2018.

References

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