bumbac/mt

The model proposed in this thesis is a hierarchical system of leading and following agents coordinated by a central planning algorithm. It is based on an extended floor field model. The main contribution of this work lies in analyzing novel strategies and rules for the leading agent, such as it’s position within the crowd. The crowd structure is modeled by introducing a pair formation of children moving in queues and examining the leader’s influence over the following agents.

Instructions

The model was developed in Python 3.10. The maps are available in src\maps\ folder and the main file setup.py needs to be run in the same folder as maps.

1. Install required libraries from src/requirements.txt.

2. Run setup.py in the src\ folder.

   1. In the main function can be uncommented either batch runs (for experiments) or visualizations for running the simulation in web browser. You can adjust the global parameters in the setup.py or you can use the sliders in visualization.

Structure

• docs relevant research materials
• report source code for Latex
• src source code for model, graphs, maps, data
  • roommodel source code for model
  • out folder where graphs and data from experiments are stored
  • out XY several folders with graphs and data from experiments described in thesis
  • maps definition of maps topology and the precomputed SFF, you can create your own maps here
  • requirements.txt export of libraries used for the model
  • params.txt export of global parameters
  • setup.py main file used for running the simulation model
  • testing.ipynb Jupyter notebook for testing