Abstract

The widespread adoption of Autonomous Vehicles made it crucial for researchers to understand how Autonomous Vehicles affect transportation networks. When studying the impact of Autonomous Vehicles on transportation networks, it is essential to consider traffic flow, infrastructure readiness, and overall performance. Furthermore, the implementation of Autonomous Vehicles raises concerns regarding safety due to various reasons including, but not limited to public acceptance and regulatory frameworks. Thus, analyzing Autonomous Vehicles interaction with existing transportation systems provides valuable insights regarding the benefits and challenges related to the of Autonomous Vehicles. This underscores the need to examine these interactions to better understand the influence of Autonomous Vehicles on travel patterns, congestion levels, and network performance. The aim of this paper is to provide a summary of the impacts of Autonomous Vehicles’ integration into existing transportation system, which aids in formulating strategies and frameworks for the future that affirms optimal traffic flow and safety. The methodology used in this paper is a systematic literature review in accordance with PRISMA guidelines. Various literature sources were retrieved from Google and Google Scholar search engines, Scopus and Web of Science databases, and the AUS e-library. This paper highlights research gaps in this area that serve as a reference for future studies and provides perspectives on the impact of adopting Autonomous Vehicles.