  In this paper, performance of an Integrated Sensing and Communication (ISAC)
Vehicle-to-Everything (V2X) scenario is evaluated, in which a vehicle
simultaneously detects the next vehicle ahead while receiving a communication
signal from a RoadSide Unit (RSU) of the infrastructure. Univariate and joint
radar and communication performance metrics are evaluated within three
different frameworks, namely the Stochastic Geometry (SG), Monte-Carlo (MC),
and Ray-Tracing (RT) frameworks. The parameters of the system model are
extracted from the RT simulations, and the metrics are compared to assess the
accuracy of the SG framework. It is shown that the SG and MC system models are
relevant w.r.t. RT simulations for the evaluation of univariate communication
and sensing metrics, but larger discrepancies are observed for the joint
metrics.
