Performance of Autonomous Vehicles in Mixed Traffic under different Demand Conditions

Autonomous Vehicles (AVs) are considered one of the potential solutions to future urban mobility with several promised benefits regarding safety and traffic operation. Despite expected benefits, these vehicles will take decades have full market penetration before that, AVs co-exist Conventional (CVs), which may affect performance owing different driving logic than CVs. The aim this study is quantify impacts varying penetrations when introduced in mixed conditions. employed simulation environment VISSIM scenarios based on percentage traffic, category demand levels. findings show that at lower levels (1000 veh/hr 2000 veh/hr), CVs three categories produced similar results. However, cautious normal negatively operations level increased. At demand-3 (3000 rates greater 50% shows negative impact performance. demand-4 (4000 even a small proportion (25%) can performance, effect observed for rate 75%. For speed, minimum reduction increase aggressive AVs, followed by conventional vehicles, AVs. It be concluded better delays, queue length, speed conflicts CVs, highest