Artificial Intelligence Based Transportation System

Abstract

Artificial intelligence (AI) is being utilized in various fields today to automate business processes, optimize decision-making processes, and contribute to the development of diverse applications that aim to improve life quality. This study examines the installation of a computer vision and central video management system that aims to enhance passenger satisfaction, local government reputation, and traffic safety in buses. Image data collected through IP cameras and NVR devices are analyzed by a computer vision system based on Convolutional Neural Networks (CNN). The analysis is used to detect prominent behaviors such as smoking, not wearing seat belts, or using mobile phones while driving. The study demonstrates that this technology plays a significant role in identifying and potentially preventing specific behaviors of bus drivers. The system highlights the potential of such technology to enable central control and management of public transportation systems, enhance the overall quality and safety of bus services, and emphasizes the future potential benefits. The results indicate a decrease of approximately 93% in these behaviors after implementing the system, thus achieving its intended purpose.