Inspiration
To reduce accidents and costs tailoring drivers to the routes they perform best on.
What it does
Our platform uses data gathered from each route a truck driver has undergone to assess the compatibility of the driver for a selected route. Following an algorithm, drivers are rated in a serious of skills (brake management, oil consumption, time taken, among others) which are then being taken into account to assign each driver to a specific route.
How we built it
Using the sensors built into the truck and the data from MAN, we gathered all the relevant information that we then sorted into two databases containing the information of roads and driver's evaluation to each individual scenario. We then used our own algorithm to create a ranking of drivers for all the roads.
Challenges we ran into
Determining the parameters we should take into account to assess the quality of the route and the driver and the algorithm to determine which driver will perform better in which road.
Accomplishments that we're proud of
Having designed an algorithm capable of assigning the best driver for each route taking into account the time of the day, weather, and driver's previous performances, as well as creating a database for all drivers and routes and an application which connects to the database and transfers the data necessary to run the algorithm
What's next for Roadfit
The Gale–Shapley algorithm to optimise compatibility between routes and available drivers, this is, given a set of more than one road, assigning the drivers to the roads in the most efficient way possible.
Tracks we apply to:
MAN and FLIXBUS
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