Road safety is a crucial societal concern, deeply intertwined with the protection of fundamental human rights and significantly influencing the quality of life. In the trucking industry, enhancing road safety has become imperative due to the critical role trucks play in economic activities and the inherent risks associated with their operation. This study examines the impact of video-capturing AI technology within the trucking industry, particularly focusing on its efficacy in improving road safety. Researchers examine the precision of AI technology in proactive risk anticipation compared to other methods. Employing a mixed-methods research strategy, researchers gather data through video recordings from our application, semi-structured interviews with drivers and safety managers, and secondary sources such as previous studies. The analysis includes statistical evaluation and thematic interpretation of qualitative feedback. This research aims to provide insights into the current utilization, performance, and efficiency of video-capturing AI in the trucking industry, and its impact on road safety. By assessing the comparative advantages of AI technology, the study contributes to understanding its role in advancing road safety measures within the trucking sector.
Essay submission was sponsored by Dr. Caesar Jude Clemente, (Computing Studies and Information Systems Department) and was presented at the New Westminster campus on April 10, 2025, for Student Research Days 2025.
