Vehicle classification is one of the main focuses in traffic survey work. In this paper, an influenced recognition model of vehicle class was proposed and experimented on using the feature extraction of vehicle's time-domain sound signal, considering the existing problems like costly equipments, low efficiency in operation, and difficulty of data analysis, etc. According to vehicle's sound signal waveform characteristics, it is shown that the changed point can be obtained by analyzing the short-time energy and zero-crossing rate in time-domain, and then the vehicle class can be determined. The simulated experimental results indicate that the proposed method is simple and economical to recognize vehicle class. The statistic precision can correspond with the need of the engineering.
Vehicle Class Recognition Based on Vehicle's Sound Signal
Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China
ICTIS 2013 ; 898-903
2013-06-11
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highways and roads , Transportation management , Classification , China , Vehicles , Safety , Water transportation , Intelligent transportation systems , Waterways , Air transportation , Rail transportation , Automatic identification systems , Human factors , Information management , Traffic management
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