Cooperative Maneuvers for Urban Environments with Automated Vehicles

Abstract

Road safety remains a critical global concern. Human-driven motor vehicles contribute significantly to the high number of accidents, highlighting the urgent need for effective solutions. Traffic congestion intensifies road safety issues, with studies showing a direct correlation between congestion and accident frequency. Despite improvements in road infrastructure, challenges persist, particularly in navigating complex road segments like roundabouts and intersections. Cooperative, Connected, and Automated Mobility (CCAM) technologies emerge as a promising solution to enhance transportation efficiency and safety. CCAM aims to optimize traffic flow, mitigate congestion, and improve safety through the integration of Connected Automated Vehicles (CAVs) with advanced infrastructure technologies and algorithms. Cooperative maneuvers play a pivotal role in the realization of CCAM technologies, offering a strategic approach to address challenges associated with complex road segments. By using advanced communication systems, CAVs can exchange realtime data about their positions, speed, and intentions, allowing for coordination and decision-making during maneuvers. Moreover, cooperative maneuvers not only enhance traffic safety but also optimize transport flow, thereby reducing congestion and improving overall transportation efficiency. As such, the development and implementation of cooperative maneuvers represent a crucial step towards achieving the overarching goals of CCAM technologies in revolutionizing the future of transportation.