  This article proposes an adaptation from the model of Bianco for
fast-forwarding agents in crowd simulation, which enables us to accurately fast
forward agents in time. Besides being able to jump from one position to
another, agents are able to stay inside their track, it means, the new position
is calculated taking into account the original global path the agent would
follow, if not being fast-forwarded. Obstacles and other agents around are also
taken into account when calculating the new position. In addition, we included
a personality aspect on agents, which affect their behaviors and, also, be
taken into account when jumping to a future time and space. We conducted some
experiments to validate our model, which shows that it was able to indeed fast
forward agents from a position to another, in a coherent time, sticking to a
given global path while avoiding collisions. Finally, we present a use case,
showing that our method can fit inside a "Fog of War" system.
