Research on probability index of road driving comfort based on driving vibration distribution

Abstract

Driving comfort is a research object involving human factors, the evaluation process is dependent on human factors, and the evaluation results have probability characteristics. Firstly, the related research on pavement performance perception using smart phones were summarised. On this basis, the driving data acquisition experiment was carried out, the smartphone is used as the driving data acquisition equipment, the probability representation method of driving comfort of pavement evaluation unit based on driving vibration process and vibration comfort is studied, and a comfort classification range of the vector synthetic vibration index was determined comprehensively. Finally, the comfort probability of different vibration ranges was quantified with reference to the Sigmoid function. From the point of view of the distribution of driving vibration, the probability evaluation index F of driving comfort with the influence of vibration difference was put forward, which reflects the possibility for drivers to evaluate the road section in terms of driving comfort.

KEYWORDS:

• Pavement engineering
• driving comfort
• vibration
• probability
• smartphone

Acknowledgments

This study was carried out as part of the National Natural Science Foundation of China (grant number: 51778027). The authors gratefully acknowledge the supported by the foundation.

Disclosure statement

No conflict of interest exists in the submission of this manuscript, and the manuscript is approved by all authors for publication. I would like to declare on behalf of myself and my co-authors that the work described is original research that has not been published previously, and is not under consideration for publication elsewhere, in whole or in part. ().

Authors’ contribution statement

GC: Study conception and design, conceptualisation, methodology, experiment and analysis, writing-review and editing. JZ: Data collection, conceptualisation, methodology. PL: writing-review and editing. LL: Conceptualisation, methodology, data analysis. All authors read and approved the final manuscript.

Data availability

The processed data used in this article are listed. The raw data obtained from the experiment cannot be shared at this time because it is part of other ongoing studies.

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 51778027].