TY - GEN
T1 - Prediction models of the number of end-of-life vehicles in China
AU - Tian, Guangdong
AU - Zhou, Mengchu
AU - Chu, Jiangwei
AU - Wang, Bing
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Prediction along with future trend analysis of the volume of end-of-life vehicles (ELVs) has a great impact on the execution of regulations and formulation of policies in China. To deal with such issues, this work investigates the historical data of their major influence factors including production volume, sale volume, vehicle count, turnover of highway freight, passenger turnover, GDP and income of per urban resident. Moreover, based on obtained main factors and historical data of ELV volume in China, its prediction models are established by multiple linear regressions (MLR), neural networks (NN) and optimized NN based on genetic algorithm (GA-NN) methods. In addition, a numerical example is given to illustrate the proposed models and the effectiveness of the proposed methods.
AB - Prediction along with future trend analysis of the volume of end-of-life vehicles (ELVs) has a great impact on the execution of regulations and formulation of policies in China. To deal with such issues, this work investigates the historical data of their major influence factors including production volume, sale volume, vehicle count, turnover of highway freight, passenger turnover, GDP and income of per urban resident. Moreover, based on obtained main factors and historical data of ELV volume in China, its prediction models are established by multiple linear regressions (MLR), neural networks (NN) and optimized NN based on genetic algorithm (GA-NN) methods. In addition, a numerical example is given to illustrate the proposed models and the effectiveness of the proposed methods.
KW - China
KW - End-of-life vehicles
KW - Modeling and simulation
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=84896777727&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896777727&partnerID=8YFLogxK
U2 - 10.1109/ICAMechS.2013.6681808
DO - 10.1109/ICAMechS.2013.6681808
M3 - Conference contribution
AN - SCOPUS:84896777727
SN - 9781479925193
T3 - International Conference on Advanced Mechatronic Systems, ICAMechS
SP - 357
EP - 362
BT - Proceedings of the 2013 International Conference on Advanced Mechatronic Systems, ICAMechS 2013
PB - IEEE Computer Society
T2 - 2013 International Conference on Advanced Mechatronic Systems, ICAMechS 2013
Y2 - 25 September 2013 through 27 September 2013
ER -