Inspiration
We were inspired by the challenge proposed by 123Loadboard to optimize the way drivers are notified of potential delivery opportunities.
What it does
Load Link uses Quadtree spatial structures to track the locations of truckers and loads to be able to notify a trucker if a potential load is nearby to be delivered. Load Link takes into account various factors and only provides delivery opportunities to drivers if it fully matches their preferences.
How we built it
We used Python to code the algorithm and also developed a front-end component to simulate how the app would look on the driver's phone.
Challenges we ran into
Determining the algorithm to be able to match truckers to loads, and unpacking many factors of the given problem.
Accomplishments that we're proud of
We were able to come up with an algorithm that takes into account various factors when considering which trucker to match to which load, and how the notifications are then sent to the trucker.
What we learned
Swift, and mobile development in XCode.
What's next for Load Link
We hope to make Load Link into an actual mobile application that is able to send push notifications to the truckers.
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