Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)

Pavement Smoothness Affecting Riding Perception Based on Characteristic Values of Gyro Angular Velocity of Traveling Vehicles

Authors
Sufeng Zhao1, Shuyun Wang2, *, GuoHua Fu1, Ning Li1
1Hebei Expressway Group Engineering Consulting Co., Ltd., Shijiazhuang, China
2Beijing Municipal Engineering Research Institute, Beijing, China
*Corresponding author. Email: 778419127@qq.com
Corresponding Author
Shuyun Wang
Available Online 3 March 2025.
DOI
10.2991/978-94-6463-658-1_91How to use a DOI?
Keywords
Riding Perception; International Roughness Index; Gyro Angular Velocity; Velocity; Characteristic Value
Abstract

Pavement smoothness is one of the main factors affecting riding perception. There are two kinds of theories on how road surface smoothness affects riding perception: one is the widely accepted vibration acceleration (VA), and the other is gyro angular velocity (GAV) of passengers around X, Y, and Z axes. The amplitude and frequency of VA usually cause discomfort in the human skeletal, muscular, and internal organs, while GAV around X, Y, and Z axes causes neural perception discomfort in passengers. This study mainly explores the impact of GAV on riding perception, introduces inertial navigation systems to test GAV, and uses a laser road condition detection vehicle to test international roughness index (IRI). The experimental process selects four roads with significant differences in road conditions, aiming to highlight the impact of rotational movement (RM) on riding perception and to explore correlation between GAV and riding perception, especially for those related to car sickness symptoms such as dizziness and nausea in passengers. Based on three-axis GAV and IRI obtained from on-site test, characteristic value of RM represented by GAV0 affecting riding perception is calculated. The subjects’ answer to questionnaires are used as neural perception data of dizziness and stomach discomfort.Correlation between GAV0 and riding perception data is analyzed, confirming that: for subjects with car sickness symptoms, their dizziness symptoms intensify with the increase of GAV0 values. This conclusion can provide a theoretical basis for intelligent driving and policy-making for road maintenance management.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
Series
Advances in Engineering Research
Publication Date
3 March 2025
ISBN
978-94-6463-658-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-658-1_91How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sufeng Zhao
AU  - Shuyun Wang
AU  - GuoHua Fu
AU  - Ning Li
PY  - 2025
DA  - 2025/03/03
TI  - Pavement Smoothness Affecting Riding Perception Based on Characteristic Values of Gyro Angular Velocity of Traveling Vehicles
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 871
EP  - 879
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_91
DO  - 10.2991/978-94-6463-658-1_91
ID  - Zhao2025
ER  -