  We present AMPLE -- a novel multiple path loss exponent (PLE) radio
propagation model that can adapt to different environmental factors. The
proposed model aims at accurately predicting path loss with low computational
complexity considering environmental factors. In the proposed model, the
scenario under consideration is classified into regions from a raster map, and
each type of region is assigned with a PLE. The path loss is then computed
based on a direct path between the transmitter (Tx) and receiver (Rx), which
records the intersected regions and the weighted region path loss. To regress
the model, the parameters, including PLEs, are extracted via measurement and
the region map. We also verify the model in a suburban area. To the best of our
knowledge, this is the first time that a multi-slope model precisely maps PLEs
and region types. Besides, this model can be integrated into map systems by
creating a new path loss attribute for digital maps.
