A Python package with functions for identifying unknown coefficients of the two second order equations of the bicycle in mass-spring-damper form:

M * q'' + C * q' + K * q = T + H * F

or the benchmark speed and gravity dependent form [Meijaard2007]:

M * q'' + v * C1 * q' + [g * K0 + v^2 * K2] * q = T + H * F

where

q = [roll angle,

steer angle]

T = [roll torque,

steer torque]

F = [lateral force]

• setuptools
• NumPy
• SciPy
• BicycleParameters
• BicycleDataProcessor
• DynamicistToolKit
• AutolevToolKit
• Uncertainties

The data set used for the analyses is available as an HDF5 database and can easily be accessed and manipulated with the BicycleDataProcessor pacakage.