Utilizing a Genetic Algorithm to Optimize Vehicle Simulation Trajectories: Determining Initial Velocity of a Vehicle in Yaw

摘要

A method was developed for determining the unknown initial velocity of vehicles in yaw based upon evidence of the vehicle's trajectory. The problem is formulated as an optimization problem by minimizing the error between a simulation trajectory and the known vehicle trajectory as per tire marks. A search simulation is coded in Matlab. An objective Function is formulated based upon the error between the Search simulation's trajectories and the trajectory Prescribed by the tire mark evidence. Initial conditions And step driver inputs are the design variables. A genetic Algorithm routine coded in Matlab, GAOT (Genetic Algorithm Optimization Toolbox), is implemented to Determine the solution vector that results in a simulation Trajectory that minimizes the objective function.