This report provides a comprehensive review of four research papers related to Waymo LLC, a leading American autonomous driving technology company. The review covers papers on various aspects of self-driving taxis, including highway safety, autonomous taxi service design, user experience, and public attitudes towards autonomous on-demand mobility. Each paper is analyzed in terms of its proposal, methodology, literature review, formulation of work, claims, findings, contributions, and scope for improvement. The review explores datasets, research problems, methodologies, merits, demerits, and future dimensions. The report highlights the importance of AI, machine learning, and deep learning in Waymo's self-driving systems, examining how these technologies are applied to improve safety and efficiency in autonomous vehicles. The analysis considers aspects like crash rates, user perceptions, service design, and the overall impact of self-driving technology on transportation and society. The findings are crucial for understanding the current state and future prospects of self-driving taxi services, offering insights into technological advancements and user acceptance.