An Intelligent Evaluation Approach for Riding Comfort Incorporating Vehicle Vibration Acceleration Distribution Characteristics.
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| Title: | An Intelligent Evaluation Approach for Riding Comfort Incorporating Vehicle Vibration Acceleration Distribution Characteristics. |
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| Authors: | Zhang, Jinxi1 (AUTHOR) zhangjinxi@bjut.edu.cn, Zhou, Shengnan1 (AUTHOR) zhousn@emails.bjut.edu.cn, Nie, Lei1 (AUTHOR) nielei@emails.bjut.edu.cn, Guo, Wangda1 (AUTHOR) wangdaguo@emails.bjut.edu.cn |
| Source: | International Journal of Pavement Research & Technology. Jun2026, Vol. 19 Issue 6, p1362-1381. 20p. |
| Subjects: | Automobile vibration, Automatic data collection systems, Surface texture, Human comfort, Surface roughness measurement, Mechanical vibration research, Road maintenance, Evaluation methodology |
| Geographic Terms: | China |
| Abstract (English): | With the ongoing development of China's road infrastructure and the increasing levels of motorization, the riding comfort of road facilities has become a critical concern for traffic participants. The scientific and intelligent evaluation of road facility riding comfort is of great significance for ensuring their effective construction and maintenance. Conventional riding comfort evaluation has primarily relied on the International Roughness Index (IRI), wherein higher IRI values correlate with poorer surface smoothness and reduced driving comfort. However, current IRI methods lack sophisticated intelligence capabilities and cannot achieve real-time monitoring of either IRI or driving comfort. In response to these challenges, this study introduces a self-developed intelligent data collection device for measuring vibration acceleration during vehicle operation, and establishes an innovative evaluation method that incorporates vehicle vibration acceleration distribution characteristics. Initially, we developed a preprocessing protocol for vibration acceleration data and identified relevant characteristic indicators. This foundation enabled the creation of three integrated models: a probability density model for vibration acceleration considering passenger variability, a membership degree model for vibration acceleration comfort, and a comfort rate model incorporating individual passenger differences. Subsequently, a comprehensive comfort rate model incorporating vibration acceleration distribution characteristics was constructed. The study conducted driving tests were across 7 road sections with varying surface technical performance, utilizing 11 vehicle types at different driving speeds. Through mathematical statistics and stochastic theory analysis, a Lognormal distribution model of vehicle vibration acceleration under mixed traffic conditions was established. The research results indicate that the intelligent data collection terminal exhibits excellent working stability, as well as high repeatability and reliability in data collection. The proposed evaluation model yields road surface comfort assessments that strongly correlate with established ISO evaluation methods while offering superior discrimination capabilities across various road conditions, thereby facilitating optimized road maintenance decision-making by relevant agencies. Notably, the developed driving data acquisition device offers significant cost advantages, with implementation expenses approximately 75% lower than traditional IRI detection methods. This research successfully achieves preliminary intelligent evaluation of road riding comfort through the integration of self-developed data collection terminal and innovative evaluation model, enabling indirect intelligent assessment of IRI values. The method presented herein represents a significant advancement in road quality evaluation and maintenance management, offering significant theoretical and practical contributions to the field. [ABSTRACT FROM AUTHOR] |
| Abstract (German): | Highlights: Through a self-developed intelligent data collection device, this study empirically proved that vehicle driving vibration acceleration follows a logarithmic normal distribution pattern. Based on this finding, a logarithmic normal distribution model for vehicle vibration acceleration was developed. A road riding comfort evaluation model was established, incorporating passenger variability and the distribution characteristics of vibration acceleration. The evaluation results align with traditional evaluation methods. The proposed intelligent evaluation method for road riding comfort provides an innovative technological route for the indirect and intelligent assessment of road riding quality and surface roughness. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194042083 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Intelligent Evaluation Approach for Riding Comfort Incorporating Vehicle Vibration Acceleration Distribution Characteristics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Jinxi%22">Zhang, Jinxi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangjinxi@bjut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Shengnan%22">Zhou, Shengnan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhousn@emails.bjut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Nie%2C+Lei%22">Nie, Lei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nielei@emails.bjut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Wangda%22">Guo, Wangda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangdaguo@emails.bjut.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Pavement+Research+%26+Technology%22">International Journal of Pavement Research & Technology</searchLink>. Jun2026, Vol. 19 Issue 6, p1362-1381. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Automobile+vibration%22">Automobile vibration</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+data+collection+systems%22">Automatic data collection systems</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+texture%22">Surface texture</searchLink><br /><searchLink fieldCode="DE" term="%22Human+comfort%22">Human comfort</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+roughness+measurement%22">Surface roughness measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+vibration+research%22">Mechanical vibration research</searchLink><br /><searchLink fieldCode="DE" term="%22Road+maintenance%22">Road maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: With the ongoing development of China's road infrastructure and the increasing levels of motorization, the riding comfort of road facilities has become a critical concern for traffic participants. The scientific and intelligent evaluation of road facility riding comfort is of great significance for ensuring their effective construction and maintenance. Conventional riding comfort evaluation has primarily relied on the International Roughness Index (IRI), wherein higher IRI values correlate with poorer surface smoothness and reduced driving comfort. However, current IRI methods lack sophisticated intelligence capabilities and cannot achieve real-time monitoring of either IRI or driving comfort. In response to these challenges, this study introduces a self-developed intelligent data collection device for measuring vibration acceleration during vehicle operation, and establishes an innovative evaluation method that incorporates vehicle vibration acceleration distribution characteristics. Initially, we developed a preprocessing protocol for vibration acceleration data and identified relevant characteristic indicators. This foundation enabled the creation of three integrated models: a probability density model for vibration acceleration considering passenger variability, a membership degree model for vibration acceleration comfort, and a comfort rate model incorporating individual passenger differences. Subsequently, a comprehensive comfort rate model incorporating vibration acceleration distribution characteristics was constructed. The study conducted driving tests were across 7 road sections with varying surface technical performance, utilizing 11 vehicle types at different driving speeds. Through mathematical statistics and stochastic theory analysis, a Lognormal distribution model of vehicle vibration acceleration under mixed traffic conditions was established. The research results indicate that the intelligent data collection terminal exhibits excellent working stability, as well as high repeatability and reliability in data collection. The proposed evaluation model yields road surface comfort assessments that strongly correlate with established ISO evaluation methods while offering superior discrimination capabilities across various road conditions, thereby facilitating optimized road maintenance decision-making by relevant agencies. Notably, the developed driving data acquisition device offers significant cost advantages, with implementation expenses approximately 75% lower than traditional IRI detection methods. This research successfully achieves preliminary intelligent evaluation of road riding comfort through the integration of self-developed data collection terminal and innovative evaluation model, enabling indirect intelligent assessment of IRI values. The method presented herein represents a significant advancement in road quality evaluation and maintenance management, offering significant theoretical and practical contributions to the field. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (German) Group: Ab Data: Highlights: Through a self-developed intelligent data collection device, this study empirically proved that vehicle driving vibration acceleration follows a logarithmic normal distribution pattern. Based on this finding, a logarithmic normal distribution model for vehicle vibration acceleration was developed. A road riding comfort evaluation model was established, incorporating passenger variability and the distribution characteristics of vibration acceleration. The evaluation results align with traditional evaluation methods. The proposed intelligent evaluation method for road riding comfort provides an innovative technological route for the indirect and intelligent assessment of road riding quality and surface roughness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s42947-025-00519-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1362 Subjects: – SubjectFull: Automobile vibration Type: general – SubjectFull: Automatic data collection systems Type: general – SubjectFull: Surface texture Type: general – SubjectFull: Human comfort Type: general – SubjectFull: Surface roughness measurement Type: general – SubjectFull: Mechanical vibration research Type: general – SubjectFull: Road maintenance Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: China Type: general Titles: – TitleFull: An Intelligent Evaluation Approach for Riding Comfort Incorporating Vehicle Vibration Acceleration Distribution Characteristics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Jinxi – PersonEntity: Name: NameFull: Zhou, Shengnan – PersonEntity: Name: NameFull: Nie, Lei – PersonEntity: Name: NameFull: Guo, Wangda IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19971400 Numbering: – Type: volume Value: 19 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Pavement Research & Technology Type: main |
| ResultId | 1 |
