Abstract
Connectivity and layout of underlying networks largely determine agent behavior and usage in many environments. For example, transportation networks determine the flow of traffic in a neighborhood, whereas building floorplans determine the flow of people in a workspace. Designing such networks from scratch is challenging as even local network changes can have large global effects. We investigate how to computationally create networks starting from only high-level functional specifications. Such specifications can be in the form of network density, travel time versus network length, traffic type, destination location, etc. We propose an integer programming-based approach that guarantees that the resultant networks are valid by fulfilling all the specified hard constraints and that they score favorably in terms of the objective function. We evaluate our algorithm in two different design settings, street layout and floorplans to demonstrate that diverse networks can emerge purely from high-level functional specifications.
Original language | English (US) |
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Article number | a131 |
Journal | ACM Transactions on Graphics |
Volume | 35 |
Issue number | 4 |
DOIs | |
State | Published - Jul 11 2016 |
Event | ACM SIGGRAPH 2016 - Anaheim, United States Duration: Jul 24 2016 → Jul 28 2016 |
Keywords
- Computational design
- Functional specifications
- Network layout
- Optimization
- Urban planning
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design