Software Seminar | MRAC 2018-2019
Guest Lecturer:  Long Nguyen
MRAC Faculty: Eugenio Bettucchi
Students: Stefano Meloni & Riccardo Mura

Introduction

The software we developed is a crowd simulator that traces the shortest pathway from a point A to a point B in a closed Area while avoiding obstacles in their way to a target.
The program aims to recreate agents as close as possible to the natural human movement, the research is still ongoing and is possibly never-ending because human behaviour is extremely complicated.
Doing this, we are trying to provide a tool that could be used to develop new areas in cities or restoring existing interiors, creating a better understanding of spaces.
This is not a tool meant to aid the design in a direct way but it is supposed to help designers to better understand the usage of space.
It could also be used to trace pathways for an automated robots inserted in a space without using any controller, indeed, the machine could be more independent and work without stopping.

Pseudo-code

– Create a finite number of particles
– Populate an environment with those
– Make them follow a path
– Make them avoid obstacles
– Make them reach a target point
– And when doing so, make the particles STOP.

Conclusions

In the end we did not succeed to reach all the levels of complexity we wanted to achieve but we manage to develop a solid starting point from which we will continue to build this software.

Human Pathways is a project of IaaC, Institute for Advanced Architecture of Catalonia
developed at Master in Robotics and Advanced Construction in 2018-2019 by:
Students: Stefano Meloni & Riccardo Mura

Guest Lecturer: Long Nguyen
MRAC Faculty: Eugenio Bettucchi