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Build it up

You are kindly requested to revise your manuscript and submit the updated version to PFDM 2025 before 15-06-2025.

 

Below, you will find all relevant review comments from:

​

  • Scientific Committee,

  • Track Leaders,

  • The Editorial Team
     

Please consider these carefully in preparing your revised manuscript.Once your revisions are complete, you may submit the updated version using the submission link provided at the bottom of this page.We appreciate your contributions and look forward to receiving your revised manuscript.

An ARIMA model to predict the evolution of pavement skid resistance

Reviewer's feedback:

Please include abstract section in the paper. Traffic volume on rural roads differs significantly from that on high-level urban roads, and the wear effect caused by traffic volume plays a critical role in skid resistance performance. Using data from such rural roads to train models for predicting skid resistance on other types of roads is likely to result in large prediction errors.

Editorial Decision for Conference Proceedings:

In light of Reviewer s feedback, please clearly state the implications of using different types of traffic sources.

Track Leader’s Comments (if any):

Please note that some of the track leader’s comments are intended as feedback for future improvements

Thanks for the paper and We look forward to your presentation. Friction data, including SCRIM data have been used to indicate the safety-related function which is important on roadway safety, especially at high friction demand areas. SCRIM data and its quality may vary among different years, it is good to discuss the data quality (as well as data collection seasons and time - different temporatrue - normalization). With the findings, it is recommended to discuss more on how authors can use this findings to benefit other researchers and transportation agencies. For journal publication, a lot more idepth studies need to conducted to improve the overall quality of the paper.

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