Consensus decision making in human crowds experiment (Dyer, JRG; Ioannou, CC; Morrell, LJ; Croft, DP; Couzin, ID; Waters, DA; Krause, J. In: Animal Behaviour, Vol. 75(2), 02.2008, p. 461 - 470) shows the influence of a small group of people (leader group) in whole masses. 

The main variables that describe the behavior of individuals in the algorithm are: seek, alignement, cohesion, wander , separation.

Algorithm makes it possible to predict and optimize the response of a population to an infrastructure project in an objective manner rather than relying on ideological positions and ex post verifications. It represents at the same time a tool for territory analysis and a design tool.

The complexity of human behavior, difficult to describe without the use of algorithmic design, becomes a crucial component of the infrastructural design. Designer exploits effects of aggregation flows citizens to redevelop the contemporary city.