  Multi-node channel sounding simultaneously captures multiple channel transfer
functions in complex scenarios. It ensures that measurement conditions are
identical for all observed links. This is particularly beneficial in analyzing
highly-dynamic vehicular communication scenarios, where the measurement
conditions and wireless channel statistics change rapidly. We present the first
fully mobile multi-node vehicular wireless channel sounding results. We analyze
the impact of a double-decker bus on the channel statistics in two measurement
scenarios. The measurement data is used to calibrate an OpenStreetMap
geometry-based stochastic channel model and include a more accurate modeling
for large vehicles, absent from previous models. We validate our model using a
link-level emulation, demonstrating a good match with measurement data.
Finally, we propose a relaying scenario and test it on link-level by comparing
the time-variant error rates of measured links.
