In this article, we present a microscopic-discrete mathematical model describing
crowd dynamics in no panic conditions. More specifically, pedestrians are set to move in order
to reach a target destination and their movement is influenced by both behavioral strategies
and physical forces. Behavioral strategies include individual desire to remain sufficiently far
from structural elements (walls and obstacles) and from other walkers, while physical forces
account for interpersonal collisions. The resulting pedestrian behavior emerges therefore
from non-local, anisotropic and short/long-range interactions. Relevant improvements of our
mathematical model with respect to similar microscopic-discrete approaches present in the literature
are: (i) each pedestrian has his/her own dynamic gazing direction, which is regarded
to as an independent degree of freedom and (ii) each walker is allowed to take dynamic
strategic decisions according to his/her environmental awareness, which increases due to
new information acquired on the surrounding space through their visual region. The resulting
mathematical modeling environment is then applied to specific scenarios that, although
simplified, resemble real-word situations. In particular, we focus on pedestrian flow in twodimensional
buildings with several structural elements (i.e., corridors, divisors and columns,
and exit doors). The noticeable heterogeneity of possible applications demonstrates the potential
of our mathematical model in addressing different engineering problems, allowing for
optimization issues as well