CU Tunnel

Navigating Carleton’s tunnels is confusing without an interactive map. Our project provides a tool that helps students and faculty find the shortest routes between buildings with ease.

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Inspiration

As a first year student, navigating the Carleton tunnels can be difficult. To help students get to class on time, we decided to provide a tool that will make navigating the tunnels easier for first-year students.

What it does

Allows students and faculty to find the shortest route from building A to building B using the Carleton tunnel system

How we built it

We implemented an efficient pathfinding algorithm (Djikstra's algorithm) and graph theory concepts to calculate the most optimal tunnel route. We used Cytoscape for JavaScript to create a visual representation of the graph.

Challenges we ran into

  • Edge coloring issues with overlapping colors
  • Getting accurate tunnel travel times
  • Calculating the weight of the nodes

Accomplishments that we're proud of

  • Creating a project which implements graph theory
  • Makes a real impact on the lives of students and faculty who use the tunnels often

What we learned

  • Resilience and adaptability
  • Team collaboration
  • Pivoting from one idea to the next
  • Learning new technologies and languages

What's next for CU Tunnel

  • Survey users on tunnel commute times to provide more accurate commute time information
  • Allow users to report issues with the tunnels
  • Collaborate with Carleton University to promote the CU Tunnel web application
  • Improve mobile compatibility
  • Create a smart phone application or implement this tool within the Carleton Mobile app
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