People's Lifestyles Have Improved As a Result of the Rapid Development In Urbanisation.
However, These Developments Have Placed a Burden on Roadways By Expanding Vehicle Ownership,
Causing Traffic Problems to Worsen at an Alarming Rate. the Primary Cause of Road Traffic Accidents Could
Be an Increase In the Rate of Traffic Volume.
In Rapidly Developing Metropolitan Agglomerations, Road Traffic Accidents Are a Big Concern. There Is A
Substantial Body of Research Literature That Sheds Light on the Scope of the Problem and the Remedies
That Are Required. Road Traffic Accidents Are the Third Leading Cause of Unnatural Death Among All Deaths.
Transportation Engineers and Academics Have Attempted to Construct Safe Roads That Adhere to Suitable
Design Standards, Yet Traffic Accidents Are Inescapable. If an Accident Occurs, the Reasons That Caused It
Must Be Identified, and Suitable Corrective Measures Must Be Established and Implemented As Soon As
Possible. the Goal of This Study Is to Gain a Better Knowledge of the Problem of Road Traffic Accidents On
The Mumbai Pune Expressway (Mpew) and the Factors That May Contribute to the High Accident Rates.
Using Artificial Neural Networks, This Research Will Construct an Accident Prediction Model to Anticipate
The Amount of Accidents Along the Mpew (Ann)