Highway vehicle detection based on distributed acoustic sensing

Abstract

Distributed acoustic sensing systems can obtain the road vibration information caused by vehicle driving vibration on highways. By characterizing the vehicle driving vibration data, a distributed acoustic sensing system based highway vehicle driving vibration detection scheme is proposed. Firstly, the out-of-bag error criterion of random forest is used to select multiple features of the vibration signals to obtain the most suitable feature quantity to characterize the road vibration signals, then the root mean square value of the signal matched filtering is calculated and compared, and the threshold is used to distinguish between the vehicle vibration signals and the noise. Finally, the improved trajectory start algorithm is used to accurately detect the vehicles travelling on the highway to obtain the real-time information of the vehicles. The experiment verified that the method can effectively detect highway vehicles.