SimArch: A Multi-agent System For Human Path Simulation In Architecture Design

TL;DR

SimArch is a multi-agent system that simulates human movement paths in architectural spaces using a behavior model and path planning algorithms, aiding architects in optimizing floorplan designs.

Contribution

The paper introduces SimArch, a novel multi-agent simulation system that models human movement and mental states for architectural design analysis.

Findings

SimArch effectively predicts human density in floorplans.

The system incorporates diverse human behaviors through probabilistic modeling.

It provides valuable insights for improving architectural layouts.

Abstract

Human moving path is an important feature in architecture design. By studying the path, architects know where to arrange the basic elements (e.g. structures, glasses, furniture, etc.) in the space. This paper presents SimArch, a multi-agent system for human moving path simulation. It involves a behavior model built by using a Markov Decision Process. The model simulates human mental states, target range detection, and collision prediction when agents are on the floor, in a particular small gallery, looking at an exhibit, or leaving the floor. It also models different kinds of human characteristics by assigning different transition probabilities. A modified weighted A* search algorithm quickly plans the sub-optimal path of the agents. In an experiment, SimArch takes a series of preprocessed floorplans as inputs, simulates the moving path, and outputs a density map for evaluation. The density map provides the prediction that how likely a person will occur in a location. A following discussion illustrates how architects can use the density map to improve their floorplan design.