Pheromone networks - a computational approach to improve the social dynamics of the Almere central train station and it's urban network.

Pheromone networks - a computational approach to improve the social dynamics of the Almere central train station and it's urban network.

La Roi, F.M.

Biloria, N.M. (mentor)
Bier, H.H. (mentor)
Sobota, M. (mentor)

Architecture

Hyperbody

Hyperbody Graduation Studio: Advanced Non-Standard & Interactive Architecture – Formations & Embodiments

2012-06-29

The amount of travelers from and to the Dutch city Almere will grow from 40.000 back in 2009 to 100.00 in 2030. This requires intensive infrastructural improvements to the current situation of Almere. One of the main improvements of the network will be the redesign of the central station of the city. The current station is situated around a combination of small dysfunctional public spaces and conflicting flows of traffic. In a series of experiments with the topics of different network speeds, users, behavior and needs is tested to propose a infrastructural landscape and embodiment that is both efficient and pleasant as a new design for the central train station of Almere. The quest is no search for an optimal result, but rather a proposal abstract machine that can generate pretty good solutions while still maintaining intuitive decision making in the design process. The aim of the design is to enhance the connectivity of the dysfunctional part of the Almere city center and to create a multi-functional area with a 18 hour usage pattern. The design method is based on a bottom-up research process with the use of different algorithmic principles for generation and performance evaluation like swarm behavior and ant-trail and Dijkstra algorithm’s. Organizing infrastructure is the main interest in this project, not only to make a more efficient network but also to revitalize the area by influencing the behavior patterns of the users of the area.

architecture
parametric
pheromone
ant trail
algorithm
swarm
Infrastructure
Almere
hyperbody
self-organization
Dijkstra
Optimization
CNC
Bridge
Train station
computational

http://resolver.tudelft.nl/uuid:c3fac2a7-dda4-43db-be6e-0b0fdee69949

2012-07-04

Student theses

master thesis

(c) 2012 La Roi, F.M.