Development of Road Traffic Accident Prediction Model by Using Artificial Neural Network: A Case Study of Mumbai-Pune Expressway
DOI:
https://doi.org/10.29070/09hnnm32Keywords:
Artificial Neural Network, Road traffic Accidents, Planning, Management, Prediction, Deep learning Algorithm, Highway, Expressway, MPEWAbstract
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 couldbe an increase in the rate of traffic volume.In rapidly developing metropolitan agglomerations, road traffic accidents are a big concern. There is asubstantial body of research literature that sheds light on the scope of the problem and the remediesthat 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 suitabledesign standards, yet traffic accidents are inescapable. If an accident occurs, the reasons that caused itmust be identified, and suitable corrective measures must be established and implemented as soon aspossible. The goal of this study is to gain a better knowledge of the problem of road traffic accidents onthe 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 anticipatethe amount of accidents along the MPEW (ANN)Downloads
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