Notice of RetractionResearch and Simulation of Vehicle Speed Model Based on MLR

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

For a more accurate calculation vehicle pre-braking speed by the regression analysis data of vehicle braking speed, comparing and analyzing with LS estimation algorithm, instrumental variable estimation algorithm, generalized least squares estimation algorithm and Cor-LS algorithm, LS estimation algorithms is used to study on parameter estimation of the vehicle braking model, introducing multiple linear regression theory, building the pre-brake speed regression model. By using the simulation data, to calculate the braking system dynamic growth factor, to gain pre-braking speed regression model. Solved the problem of calculating vehicle brake speed. In the end, through the high-precision vehicle dynamics simulation model (veDYNA) platform to simulation, comparing the speed model and original model to verify the model speed validity and accuracy, the simulation results show good results.