A COMPARATIVE ANALYSIS OF SELF-DRIVING VEHICLES' RISKS WITH HUMAN-DRIVEN VEHICLES' RISKS

<p>The advanced improvement of autonomous vehicle technology has marked a transformative shift in the automotive industry, promising efficiency, mobility, and safety. However, safety concern remained in comparison to traditional human-driven vehicles. This research would present a comparative analysis of the risks which was associated with the self-driving vehicles and human-driven vehicles, addressing accident frequency, limitation of the technology, and acceptance in the public. By using quantitative methodology for the study and using the publicly available data, the study would evaluate the extent to which self-driving cars enhance our safety in the road compromise. The research used statistical techniques to compare the rate of accidents, analyzing the impact of the level of automation, and assessing the influence of factors like regulations, infrastructure, and ethical considerations. The result could be used to contribute the ongoing discussions on the feasibility of widespread self-driving cars adoption and informing the manufactures, policymakers, and the general public about the potential usefulness and risks linked with the self-driving cars. This study would provide verifiable evidence on autonomous vehicles safety, directing the development of self-driving technologies in the future.</p> <p><em><span>Keywords:</span></em><span> future impact, TAM, road safety, technology acceptance model, self-driving cars, driverless cars, autonomous vehicles, human-driven cars, SDV, accidents</span></p>