Connected and Autonomous Vehicles (CAV) is the developing summit of the integration
between artificial intelligence (AI), robotics, automotive design and information
technologies. Many researchers are investigating their effects on traffic safety. This study
tries to quantify the volume of incidents when sharing the road human-driven vehicles and
fully CAV. After modeling the geometry of 4.5 km of motorway and the parameters of
connectivity and automation using Aimsun Next platform, several scenarios of the
percentages of CAV (0%, 25%, 50%, 75%, and 100%) were driven in microsimulation runs.
Then the microsimulation generated vehicles trajectories that are used to identify conflicts
using the Surrogate Safety Assessment Model (SSAM). The results of this analysis confirm
previous research in that the reduction of number of conflicts will be up to 35% with low
and moderate penetration rates of CAV and more than 80% if the road is operated only with
CAV.
