This project aims to simulate the outcome of Formula One races using open-source data from the Ergast Motor Racing Developer API. As of now, it is focused on the 2016 F1 season, but more seasons may be added at a later date.
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Download and uncompress the newest release
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Enter the directory ~/F1StrategySimulator
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Run
to start the programjava -jar /build/libs/F1StrategySimulator.jar
If you prefer to work on the source code as well, you can:
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Clone this repository
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Enter the parent directory ~/F1StrategySimulator
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Run a Gradle build
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./gradlew build
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Run the generated JAR file as needed
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java -jar /build/libs/F1StrategySimulator.jar
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The overall simulator consists of multiple 'models' that predict behavior in certain important subcategories, such as tyre wear and overtakes.
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Tyre Wear
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Fuel Consumption
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Overtaking
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Pit Stop/Tyre Strategy
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DNFs
The results from each of these models are then taken into account and used to predict lap-by-lap results, and eventually the results of the simulated race.
As much of the real-time data collected by Formula One teams is not publically available, these models are limited to and by the open-source data that can be found.
More features will be added in the future - check out What Next?
~/src/ | Description |
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Data |
Collection of various data incl. driver coefficients, team statistics, and circuit information. |
Evaluation |
Contains the main class from which the program is entered. |
FileIO |
Classes for reading from and writing to race data files. |
Models |
The core of the project – all models that are used in the simulation. |
Util |
Miscellaneous utility classes. |
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Add data for more seasons (post-2016)
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Dedicated logic to account for increased chance of DNFs and overtaking during the 1st lap
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Add more team-level customization (e.g. stronger/weaker circuits, reliability, etc.)