Elevating Efficiency

Our project is about the efficiency of elevators. We want to find out how the efficiency of elevators can be improved by using different policies. We will simulate the movement of elevators and passengers in a building and compare the results of different policies.

This project was created as part of the course "Complex Social Systems: Modelling Agents, Learning and Games" at ETH Zurich.

To access our project's documentation, please visit our dedicated documentation webpage.

Downloads

For more information about the project, please refer to the following documents:

• Project Presentation
• Project Report

Installation

First, clone the repository to your local machine. Then navigate inside the directory of the project using the terminal.

Subsequently, one can install the package by running the following command in the terminal (depending on the python installation, you might need to use pip3 instead of pip):

pip install -r requirements.txt

Usage

To run the simulation first set the parameters in the main.py file. Important parameters are:

• distribution: The distribution of the passengers arrival times. Here you can choose one the scenarios Shopping Mall, Residential Building or Rooftop Bar.
• policy: The policy that is used to control the elevators. Here you can choose from one of the 4 letter policies e.g. FCFSPolicy.
• policy_arguments: The arguments that are passed to the policy, only use for PWDPPolicy, leave blank for others.
• hours, minutes, seconds: The duration of the simulation.

Then run the following command in the terminal from the project directory (depending on the python installation, you might need to use python3 instead of python): python main.py

Plotting

To plot simulations, call the corresponding functions in the simulation_plotter.py file.

Then run the following command in the terminal from the project directory (depending on the python installation, you might need to use python3 instead of python):

python simulation_plotter.py