Title :
Data-based modeling of vehicle collision by LPV-ARMAX model approach
Author :
Qiugang Lu ; Pawlus, Witold ; Karimi, Hamid Reza ; Robbersmyr, K.G.
Author_Institution :
Dept. of Eng., Univ. of Agder, Grimstad, Norway
Abstract :
Vehicle crash are considered to be events with high complexity from the mathematical points of view. The high experiment cost and huge time-consumption make the establishment of a mathematical model of vehicle crash which can simplify the analysis process in great demand. In this work, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to be functions of the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from those used for identification. The comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.
Keywords :
automobiles; autoregressive moving average processes; collision avoidance; control engineering computing; data models; impact testing; mathematical analysis; road safety; traffic engineering computing; vehicle dynamics; velocity control; LPV-ARMAX model; LPV-ARMAX parameter; car-to-pole collision simulation; collision situations; data-based modeling; impact velocities; mathematical model; vehicle collision; vehicle crash; Acceleration; Autoregressive processes; Data models; Mathematical model; Predictive models; Vehicle crash testing; Vehicles; LPV-ARMAX model; data-based modeling; time series analysis; vehicle crash;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606138
