  Integrated sensing and communication (ISAC) is a promising technology for 6G,
with the goal of providing end-to-end information processing and inherent
perception capabilities for future communication systems. Within ISAC emerging
application scenarios, vehicular ISAC technologies have the potential to
enhance traffic efficiency and safety through integration of communication and
synchronized perception abilities. To establish a foundational theoretical
support for vehicular ISAC system design and standardization, it is necessary
to conduct channel measurements, and modeling to obtain a deep understanding of
the radio propagation. In this paper, a dynamic statistical channel model is
proposed for vehicular ISAC scenarios, incorporating Sensing Multipath
Components (S-MPCs) and Clutter Multipath Components (C-MPCs), which are
identified by the proposed tracking algorithm. Based on actual vehicular ISAC
channel measurements at 28 GHz, time-varying sensing characteristics in front,
left, and right directions are investigated. To model the dynamic evolution
process of channel, number of new S-MPCs, lifetimes, initial power and delay
positions, dynamic variations within their lifetimes, clustering, power decay,
and fading of C-MPCs are statistically characterized. Finally, the paper
provides implementation of dynamic vehicular ISAC model and validates it by
comparing key simulation statistics between measurements and simulations.
