DocumentCode
2166056
Title
Notice of Retraction
Research and Simulation of Vehicle Speed Model Based on MLR
Author
Wang Shu-da ; Xiao Jing-yang ; Wang Shuo-ning
Author_Institution
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
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.
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.
Keywords
brakes; braking; estimation theory; regression analysis; vehicle dynamics; generalized least squares estimation algorithm; instrumental variable estimation algorithm; linear regression theory; parameter estimation; regression analysis data; veDYNA platform; vehicle brake speed; vehicle braking model; vehicle dynamics simulation model; vehicle pre-braking speed regression model; vehicle speed model; Accidents; Analytical models; Data models; Linear regression; Mathematical model; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Type
conf
DOI
10.1109/ICMSS.2010.5576894
Filename
5576894
Link To Document