TO PREPARE ACCIDENT PREDICTION MODEL THROUGH BLACK SPOT ANALYSIS ON NH 48

TO PREPARE ACCIDENT PREDICTION MODEL THROUGH BLACK SPOT ANALYSIS ON NH 48

Avishkar R. Nikam, Omkar R. Kamble, Aniket S. Pawar, Aditya V. Randhir, Kaustubh S. Raut

B.E. (Civil Engineering), JSPM NTC, Pune

Project Guide: Prof A. A, Avhad

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Abstract -India is a large country in terms of population. For it to expand, an excellent transit infrastructure is required. Road transport is a key component of the transport system that contributes to the economic and social development of our nation since it allows for door-to-door delivery and has a higher density and distribution over the whole nation. Accidents on these roadways hinder expansion since they result in significant financial damage and fatalities. Therefore, it's critical to identify these accident-prone areas and make the necessary corrections to reduce these incidents. The Mumbai– Bangalore Highway black spot identification used for this article. The National Highway Authority of India's weighted severity index and accidental data are used to analyses the accidental data to identify these "black spots."

Key Words: Transportation, Road traffic accidents, Accident Black Spots, National Highway.