Traffic Flow With Autonomous Vehicles In Real-Life Traffic Situations
Introduction The integration of autonomous vehicles (AVs) into real-life traffic situations marks a transformative shift in urban mobility and transportation management. As advancements in Artificial Intelligence (AI) and machine learning facilitate the rise of AVs, cities face both unprecedented opportunities and significant challenges. Autonomous vehicles, classified into levels of autonomy from Level 0 (no automation) to Level 5 (full automation), promise to enhance traffic flow by optimizing patterns, reducing congestion, and improving safety through real-time data processing and decision-making. However, their incorporation into existing transportation systems necessitates substantial infrastructure changes and raises questions about regulatory frameworks, liability, and public trust in these technologies. Research indicates that the presence of even a […]
