Leveraging Of Artificial Intelligence For Accident Mitigation :Amethi District Case Study

Abstract

Our Objectiveis  to analysis the road accident in India at national , State, City and town  level .We performed our analysis on city(Amethi)  level . Analysis shows  that the distribution of road accidental deaths and injuries in India varies according to age, gender, month and time. Age group 30- 59 years is the most vulnerable population group, though males face higher level of fatalities and injuries than their female counterparts. Moreover, road accidents are relatively higher in risky weather and during working hours. Analysis of road accident scenario at state and city level shows that there is a vast variation in fatality risk across states and cities. Fatality risk in 16 out of 35 states and union territories is higher than the all India average. Although, burden of road accidents in India is marginally lower in its metropolitan cities, almost 50% of the cities face higher fatality risk than their moffusil counterparts.  In general many develop and developing country till now not discuss any secure mechanism to prevent accident secanrio.

      We also provide in this paper a suitable roadmap for preventing Accident on road by applying some AI and mathematical function  on both  road and vehicle.