Impacts of Different Types of Automated Vehicles on Traffic Flow Characteristics and Emissions: A Microscopic Traffic Simulation of Different Freeway Segments

Different types of automated vehicles (AVs) have emerged promptly in recent years, each which might different potential impacts on traffic flow and emissions. In this paper, the autonomous (AAVs) cooperative (CAVs) capacity, average speed, travel time per vehicle, delay as well emissions such carbon dioxide (CO2), nitrogen oxides (NOx), particulate matter (PM10) been investigated through a microsimulation study VISSIM. Moreover, moderating effects AV market penetration, freeway segments AV’s studied. The simulation results show that CAVs higher impact capacity improvement regardless type segment. Compared to other scenarios, at 100% penetration basic greater than AAVs. Furthermore, merging, diverging, weaving showed effect improvements, particularly CAVs’ impact, with merging having highest potential. Taking vehicle into account, were diverse across scenarios. emission estimation AAV scenarios had best performance reductions sections, while increased diverging sections.