Automatic pavement macrotexture depth calculation using a statistical approach based on the tire/road noise signal by directional microphones

• Autorzy: Liu Hao , Zhang Yiying , Xu Zhengwei , Liu Xiaojiang

Identyfikatory

DOI

10.24425/bpasts.2022.140519

• Języki publikacji: EN

Abstrakty

EN

This paper develops an automatic method to calculate the macrotexture depth of pavement roads, using the tire/road noise data collected by the two directional microphones mounted underneath a moving test vehicle. The directional microphones collect valid tire/road noise signal at the travel speed of 10–110 km/h, and the sampling frequency is 50 kHz. The tire/road noise signal carries significant amount of road surface information, such as macrotexture depth. Using bandpass filter, principal component analysis, speed effect elimination, Gaussian mixture model, and reversible jump Markov Chain Monte Carlo, the macrotexture depth of pavement roads can be calculated from the tire/road noise data, automatically and efficiently. Compared to the macrotexture depth results by the sand-patch method and laser profiler, the acoustic method has been successfully demonstrated in engineering applications for the accurate results of macrotexture depth with excellent repeatability, at the test vehicle’s travel speed of 10-110 km/h.

Słowa kluczowe

EN

statistical approach; directional microphone; pavement; macrotexture depth; automation

PL

podejście statystyczne; mikrofon kierunkowy; chodnik; głębokość makrotekstury; automatyzacja

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2022
• Tom: Vol. 70, nr 3
• Strony: art. no. e140519
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Liu Hao

• China Merchants Chongqing Communications Technology Research & Design Institute Co., Ltd, 33 Xuefu Road, Nan’an District, Chongqing, PR China, 400067

autor

Zhang Yiying

• China Merchants Roadway Information Technology (Chongqing) Co., Ltd, 33 Xuefu Road, Nan’an District, Chongqing, PR China, 400067

autor

Xu Zhengwei

• China Merchants Roadway Information Technology (Chongqing) Co., Ltd, 33 Xuefu Road, Nan’an District, Chongqing, PR China, 400067

autor

Liu Xiaojiang

• China Merchants Roadway Information Technology (Chongqing) Co., Ltd, 33 Xuefu Road, Nan’an District, Chongqing, PR China, 400067

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).