Data‐driven based double‐layer bicycle simulation model

Abstract

AbstractBicycle motion simulation is fundamental to urban transportation planning, virtual reality and other areas. This article proposes a data‐driven based double‐layer bicycle simulation model to consider the cyclist's decision‐making process and the bicycle's kinematic structure. This proposed model consists of two layers, the decision‐making layer and the motion layer. First, the decision‐making layer using machine learning algorithms models the decision‐making process as a regression problem to output the cyclist's decision. Then, the motion layer applies a bicycle kinematics model to output bicycle motion under physical constraints. In addition, a solution to calculate bicycles' dynamic information is proposed for the data‐driven method. Quantitative and qualitative experiments have been conducted, and results show that the double‐layer model and the parameter calculation solution can generate realistic bicycle motion simulations.