Amusement Park Simulation

SUTD 40.015 Simulation Modelling and Analysis Project

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Abstract and Motivation

Amusement park owners often face huge uncertainties when it comes to expanding their parks, especially with rides. This is due to the illiquidity of such attractions and the substantial investments required in infrastructure and machinery before the rides can be made available. Before they make these decisions, it would be useful to simulate and analyse the impact of a new ride on customer satisfaction and profit margins.

Our model aims to provide park owners with an easily scalable tool that aids them in modelling this problem. By doing so, they will be able to better analyse the impact of a new ride on profit margins, waiting times and overall customer satisfaction. This would allow them to make a more informed decision when adding / removing rides.

Current Features

• Different types of visitors (priority, groups, single)
• Dynamic ride selection and pathfinding
• Graphs of key statistics
  • Time spent in park
  • Fraction of visitors missed
  • Average ride wait times
• Ride-based statistics
  • Capacity, turnover and length
  • Current wait times (w/ graphs)
• Customisable map layouts

Possible Extensions

• Different types of rides
• Staffing schedule
• Dynamic visitor arrival rates

Running

You can watch a short demo here.

Online

This project is permanently live at this page.

Offline

First, clone/download this repository. You can use the download link at the top right of this page, or if you have Git installed, just run git clone https://github.com/Mickey1356/sim_project.git in the directory of your choice.

Then, you need to have a way to launch a local server. We list two easy ways to do so.

• If you have Python installed:
  • You can run python -m http.server if you have Python 3.X
  • Alternatively, if you have Python 2.X, you can run python -m SimpleHTTPServer
• If you have NPM installed:
  • Install http-server using npm install -g htpp-server
  • Run http-server

Remember to run the above commands in the same directory as index.html.

Finally, you can navigate to localhost:<PORT> where <PORT> is 8080 if you're using http-server and 8000 if you're using Python. Check your console to be sure.