Paper
6 February 2022 Research on theoretical evaluation method of road roughness based on smart-phone and whole vehicle model
Zhen Zhang, Wenjiang LV
Author Affiliations +
Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 1208119 (2022) https://doi.org/10.1117/12.2623860
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China
Abstract
Considering that the smartphone with built-in sensors transformed the way people's living and working styles, in this paper, a computational model and algorithm utilizing smartphone were proposed to determine the International roughness index (IRI) based on vehicle suspension parameters and whole vehicle model. First, the driving data acquisition APP was developed using JAVA 8 as the programming language and Android Studio 3.4. Then, the identification on the suspension parameters of test vehicle was implemented by complex mode formulations and drop test. Subsequently, the algorithm about theoretical relationships among vehicle operating data, longitudinal elevation data (LED) and IRI were derived based on the whole vehicle model (WVM). Finally, an experimental verification was performed on asphalt pavement with known roughness index. The results demonstrated that the maximum relative error between the determined value and standard value was less than 10%.
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Zhen Zhang and Wenjiang LV "Research on theoretical evaluation method of road roughness based on smart-phone and whole vehicle model", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 1208119 (6 February 2022); https://doi.org/10.1117/12.2623860
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KEYWORDS
Roads

Data acquisition

Sensors

Data processing

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