  Carrinheiros are collectors of recyclable materials that use human-powered
vehicles. Carrinheiro's collection routes can be tiring depending on the paths
chosen. Therefore, this work proposes an algorithm for suggesting customizable
routes based on three edge costing policies: Less Work Policy, Less Impedance
Policy, and Short Distance Policy. This work used the tools osmnx and networkx
to construct graphs, geographic data from Open Street Map, and elevations from
Topodata. The simulations performed in Simulation of Urban MObility (SUMO)
demonstrated that the proposed algorithm could minimize the power applied to
push the vehicle, the distance, and the travel time, according to the policy
used.
