Big Data Analytics on Road Traffic Accidents in India: A Critical Statistical Review on Safety Measures and Awareness on Accidents

In the recent decades, the need for the two wheel vehicles, four wheel vehicles are increased due to travel long distance from a place to another for their stay, office work etc. In the due course the traffic increases leads to endanger to life threat. A critical data analysis is required for the traffic based accidents to find the cause for the accidents, identifying the casualties, remedial measures for the cause of incident. The solution is provide an data analytics based on road accidents is performed with the data available in the repository. In this statistical analysis, it focuses on four aspects on population status, road accident statistics, reason for road accidents, awareness on road accidents. A review report on safety measures and road traffic accident situation in India is taken as base line study for this research. The first part of report provides a comprehensive analysis of vehicle population in India. The second part of the report is pointed out the analysis based on the number of road accidents in the past few years. These statistics indicate the number of fatalities, number of person injured (Grevious hurt/minor injury) and the cause vehicle for road accidents in India. These are declined to continue for many years unless the new policies are implemented. The third part of the report gives a brief insights various reason for the road accidentsin India. In future extensive study on the research is useful for safety measures and awareness to the people. Keywords:Data Analytics, RStudio, RTA, Safety Measures.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-10-10
DOI
https://doi.org/10.55041/ijsrem37883
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

Big Data Analytics on Road Traffic Accidents in India: A Critical Statistical Review on Safety Measures and Awareness on Accidents

Subramaniyan Bharathiraja, P. Vaishnavi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Traffic Prediction and Management Techniques
article

Big Data Analytics on Road Traffic Accidents in India: A Critical Statistical Review on Safety Measures and Awareness on Accidents

Subramaniyan Bharathiraja, P. Vaishnavi
article en

Abstract

In the recent decades, the need for the two wheel vehicles, four wheel vehicles are increased due to travel long distance from a place to another for their stay, office work etc. In the due course the traffic increases leads to endanger to life threat. A critical data analysis is required for the traffic based accidents to find the cause for the accidents, identifying the casualties, remedial measures for the cause of incident. The solution is provide an data analytics based on road accidents is performed with the data available in the repository. In this statistical analysis, it focuses on four aspects on population status, road accident statistics, reason for road accidents, awareness on road accidents. A review report on safety measures and road traffic accident situation in India is taken as base line study for this research. The first part of report provides a comprehensive analysis of vehicle population in India. The second part of the report is pointed out the analysis based on the number of road accidents in the past few years. These statistics indicate the number of fatalities, number of person injured (Grevious hurt/minor injury) and the cause vehicle for road accidents in India. These are declined to continue for many years unless the new policies are implemented. The third part of the report gives a brief insights various reason for the road accidentsin India. In future extensive study on the research is useful for safety measures and awareness to the people. Keywords:Data Analytics, RStudio, RTA, Safety Measures.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(10)
Good health and well-being
Openalex Percentile: Top 82%
Traffic Prediction and Management Techniques
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