부산대학교 도서관

The term Traffic Environment refers to everything that has the potential to disrupt the flow of vehicular traffic on the road, but not particulates to accidents, traffic signals, rallies and even for the maintenance of roads, which may lead to backups. If an individual possesses prior knowledge that is similar to the above-mentioned factors, along with an understanding of other everyday variables that may influence traffic, they can make informed decisions as a driver or passenger. Advanced transport systems, tourist database systems, and traffic management systems now have much better traffic predictions because to the adoption of intelligent transportation systems. Therefore, the continuous improvement and implementation of these systems will continue to enhance traffic prediction accuracy. The goal of this study is to use modern communication technologies and to propose a methodology based on machine learning for improving transportation safety, mobility and productivity. According to the research, the suggested method (SVR) performs better than the competing approaches in terms of performance on all assessment metrics, regardless of the dataset.