A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions

Abstract

The emergence of autonomous driving represents a pivotal milestone in the evolution of the transportation system, integrating seamlessly into the daily lives of individuals due to its array of advantages over conventional vehicles. However, selfdriving cars pose numerous challenges contributing to accidents and injuries annually. This paper aims to comprehensively examine the limitations inherent in autonomous driving and their consequential impact on accidents and collisions. Using data from the DMV, NMVCCS, and NHTSA, the paper reveals the key factors behind self-driving car accidents. It delves into prevalent limitations faced by self-driving cars, encompassing issues like adverse weather conditions, susceptibility to hacking, data security concerns, technological efficacy, testing and validation intricacies, information handling, and connectivity glitches. By meticulously analyzing reported accidents involving self-driving cars during the period spanning 2019 to 2022, the research evaluates statistical data pertaining to fatalities and injuries across diverse accident classifications. Additionally, the paper delves into the ethical and regulatory dimensions associated with autonomous driving, accentuating the legal complexities that arise from accidents involving self-driving vehicles. This review assists researchers and professionals by identifying current autonomous driving limitations and offering insights for safer adoption. Addressing these limitations through research can transform transportation systems for the better.

Enhancing Security and Accountability in Autonomous Vehicles through Robust Speaker Identification and Blockchain-Based Event Recording

“…In 2017, there was another incident involving a Tesla Model S, which collided with an 80-year-old cyclist [7]. These accidents highlight the urgency to develop reliable solutions in AVs that can prevent such incidents and ensure the safety of all road users [8]. Furthermore, research has shown that these incidents have caused a negative public perception of the technology [9].…”

Willingness to take responsibility: Self-sacrifice versus sacrificing others in takeover decisions during autonomous driving

“…Thus, while some studies imply that drivers may prefer manual control regardless of the intention of AVs, inconsistencies in previous research, alongside a conflict between the public choice theory and self-preservation principle, suggest that in level-3 automated driving, some drivers may delay takeover to avoid the guilt and responsibility associated with potential accidents. However, several recent AV accidents have shown that when facing unexpected situations, AVs may not operate safely [ 22 , 23 ], and intentionally taking over late could increase the severity of accidents—even if they are impossible to avoid. To solve this problem, in the present study, we aim to investigate the factors influencing takeover decisions in critical situations to explore ways to prevent intentionally late takeovers.…”