Abstract

Advanced driver assistance and accident detection system is significantlyneeded to ensure safety for drivers. Drowsiness detection, collision detection and various driver alert systems have penetrated into market with an aim to provide higher security for driver but due to population of vehicle and modification in structure of roads these system fails to answer safety problems that results in severe accidents.In this paper we provide accurate analysis of past recorded accidents in Tamil Nadu state and analysis of public opinion on Accident detection system is carried out using 1004 licensed persons under different ages in three cities (Coimbatore, Erode and Nilgiris) by focusing the major 10 parameters carrying 48 Questions. Findings and implications of this analysis is also discussed in this article. A thorough analysis of recent techniques that are used for AAD (Automatic Accident Detection) and road safety programmes that resolve the pre and post cautionary concerns of accidents in developing countries is addressed with the review of most 4 influencing algorithms in ITS for AAD.. 1 Vehicle Detection using Wheel arc Counter Detection Algorithm, 2 Enhancement of V2X Communication using Multi-RAT,3Road Curvature Estimation using Circle Fitting Algorithm and4Driver Safety Systemis discussed in this paper. To understand recent computational challenges and extended areas of research in ITS, anhybrid approach of CNN with VANETs for accident detection has been suggested to enumerate the obtained accidental information.

Highlights

  • India is a populated country that has second largest road transport network with around 1,15,435 km [82]

  • As a part of opinion analysis in this paper, it is found that the support value received for Q1 is 84% and after that there was the steady decrease in the support value for each and every question

  • This shows that people in Tamil Nadu state are little careless about road accidents and recorded the second highest road accident fatalities in 2017 among Indian states

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Summary

Introduction

India is a populated country that has second largest road transport network with around 1,15,435 km [82]. 2003 has around 7% lowest death rate recorded compared to 2002 has been seen as good scenario and it was not maintained because in the consecutive year of 2016 it has found that 12% of increase compared to 2015 From this implications it can be concluded that the death rate due to accidents will vary year by year based on several parameters. As compared to any other three factors, minor injuries are higher which denotes that the accidents are still happening even after this much researches and implementations in road safety and vehicular technology and infact vehicle accidental death have multiplied by three times from 39,675 in 2003 to 90,729 in 2017.

Theory behind prevention and detection of accidents
Method
Enhancement of V2X Communication using Multi-RAT
Results and Discussion
Conclusion
Full Text
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