Cycling performance modelling with Python
Project description
# rouleur: Cycling performance modelling
Makes the physical modelling of cycling trivially easy.
For example, let’s try and estimate the power required for Wiggo’s current hour record:
`pycon >>> from rouleur import CyclingParams, calculate_air_density >>> >>> record = 54.526 # km/h >>> record *= 1000 / 60**2 # m/s >>> rho = calculate_air_density(30, 777, 0.6) # about right >>> pars = CyclingParams( >>> rider_velocity=record, >>> air_density=rho, >>> CdA=0.19, Crr=0.0025, >>> chain_efficiency_factor=0.98, >>> road_gradient=0, >>> mass_total=82) >>> >>> pars.solve_for.power_output() 440.9565671224358 `
That’s all there is to it.
The API consists almost exclusively of the CyclingParams class, which holds all the parameters required for modelling a cyclist. The class constructor combines a number of sensible defaults with any (keyword) arguments passed. Details of recognised keyword arguments—i.e. model parameters—can be found in the class docstring (help(CyclingParams)).
Instances then have a number of solver methods accessible via parameters.solve_for.*.
# References
This package is an implementation of a number of published algorithms. Important references are:
[Martin JC, Milliken DL, Cobb JE, McFadden KL, Coggan AR. Validation of a Mathematical Model for Road Cycling Power. Journal of Applied Biomechanics 14: 276–291, 1998.](http://journals.humankinetics.com/doi/10.1123/jab.14.3.276)
[Martin JC, Gardner AS, Barras M, Martin DT. Modeling sprint cycling using field-derived parameters and forward integration. Med Sci Sports Exerc 38: 592–597, 2006.](https://www.ncbi.nlm.nih.gov/pubmed/16540850)
[Atkinson G, Peacock O, Passfield L. Variable versus constant power strategies during cycling time-trials: Prediction of time savings using an up-to-date mathematical model. Journal of Sports Sciences 25: 1001–1009, 2007.](https://www.ncbi.nlm.nih.gov/pubmed/17497402)
[Wells MS, Marwood S. Effects of power variation on cycle performance during simulated hilly time-trials. European Journal of Sport Science 16: 912–918, 2016.](https://www.ncbi.nlm.nih.gov/pubmed/26949050)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file rouleur-0.0.3.tar.gz
.
File metadata
- Download URL: rouleur-0.0.3.tar.gz
- Upload date:
- Size: 14.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a29877b6836f9c6dcad355f682ea57a02e028b2edaceeb189e508dfb6b920575 |
|
MD5 | ae0aea2eb3929071ad95d97bb8c54e35 |
|
BLAKE2b-256 | 1bf5b91a60a7b98c8ccf49793716837e515d8a4ef5dc4cd5c43fd649b11e4de7 |