Accident in Tunnel Classification by Using Deep Learning

Through the use of deep learning algorithms, this research offers a novel method for classifying accidents in tunnel environments. Effective accident detection is essential for assuring prompt response and safety in tunnel environments because of the particular difficulties they present, including restricted spaces and low visibility. Our deep learning models were trained and assessed using a dataset that included different tunnel accidents. Comparing our findings to more conventional approaches, we see a discernible increase in categorization accuracy. In addition to highlighting the value of deep learning in boosting transportation safety in challenging circumstances, the suggested approach shows promise for real-time monitoring and alerting in tunnel infrastructure