Wednesday 27 April 2011

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS
Transactions ID Number: 53-439
Full Name: Hamid Reza Karimi
Position: Professor
Age: ON
Sex: Male
Address: The University of Agder, Faculty of Engineering and Science, Postboks 509, N-4898 Grimstad
Country: NORWAY
Tel: +47 3723 3259
Tel prefix:
Fax: +47 3723 3001
E-mail address: hamid.r.karimi@uia.no
Other E-mails: hrkarimi@gmail.com
Title of the Paper: Ahead prediction of kinematics of vehicles under various collision circumstances by application of ARMAX autoregressive model
Authors as they appear in the Paper: Witold Pawlus; Hamid Reza Karimi, Kjell G. Robbersmyr
Email addresses of all the authors: witolp09@student.uia.no, hamid.r.karimi@uia.no, kjell.g.robbersmyr@uia.no
Number of paper pages: 10
Abstract: In this paper we present the application of regressive models to simulation of a full-scale vehicle-to-pole impact as well as virtual vehicle-to-barrier collision. The capability of an ARMAX model to reproduce vehicle kinematics was examined. Regressive model parameters were established by minimizing a weighted sum of squares of prediction errors. The prediction horizon was assigned to evaluate model's robustness and verify its time series data forecasting performance. It was found that the ARMAX model does not only reproduce the signal which was used for its establishment (i.e. real vehicle's acceleration) but it predicts another signal as well (i.e. virtual vehicle's acceleration). Moreover, such estimation technique preserves all characteristic information relevant for a given collision, since integration of the estimated acceleration pulse yields plots of velocity and displacement which closely follow the reference ones.
Keywords: ARMAX model, prediction horizon, vehicle crash, vehicle kinematics
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 82.116.89.94