Title :
Vibration signal analysis of vehicle in highway based on AR model
Author :
Hong-Feng Wei ; Yan-Tao Liu ; Xiao-Heng Chang
Author_Institution :
Coll. of Eng., Bohai Univ., Jinzhou, China
Abstract :
The AR model method was applied in this paper to analyze the information extraction of vehicle vibration signals in highway traffic flow. Based on the sample data and appropriate AR model method, the feature vectors were used to distinguish different vehicle models. The proposed feature method in vehicle signal recognition technology can achieve the requirement of auxiliary determination. It demonstrated that the feasibility of model identification and feature extraction using the highway vehicle vibration signal. The result showed that the AR model is an effective method in vehicle type classification.
Keywords :
feature extraction; road vehicles; roads; signal processing; traffic engineering computing; AR model; feature extraction; feature vectors; highway traffic flow; information extraction; model identification; vehicle signal recognition; vehicle type classification; vibration signal analysis; Analytical models; Data models; Educational institutions; Mathematical model; Road transportation; Vehicles; Vibrations; AR model; Feature vector; vehicle vibration signal;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561178