Case Studies
Feb 24, 2022

Rough-Set Based Association Rules toward Performance of High-Friction Road Markings

Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 148, Issue 2

Abstract

The objective of this study was to explore the association rules influencing the frictional performance of high-friction road markings based on the skid resistance acceptance standard in excess of 65 British Pendulum Number (BPN). The paper integrates two widely used data mining approaches, rough set theory (RST) and the association rule algorithm, to extract the association rules. Three workshops with 14 experts and two on-site surveys were conducted, followed by collecting 303 field data sets based on British Pendulum Test method and ASTM E303-93 test standard. There are nine important attributes extracted and two of them are the core attributes: distance from margin and surface temperature. The 13 rules regarding the consequences of BPN <50 and BPN <55 indicate that surface age is vital in the skid resistance performance of road markings because it appears in every rule. There is more likely to be a decay in the skid resistance value as the surface age reaches the period between 11 and 15 months.

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Data Availability Statement

All data, models, and code generated or used during the study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors wish to acknowledge the support for this research received from the Taiwan Ministry of Transportation and Communications (MOTC) under Grant No. MOTC-IOT-109-SDB010. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the MOTC.

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Go to Journal of Transportation Engineering, Part B: Pavements
Journal of Transportation Engineering, Part B: Pavements
Volume 148Issue 2June 2022

History

Received: Mar 16, 2021
Accepted: Dec 17, 2021
Published online: Feb 24, 2022
Published in print: Jun 1, 2022
Discussion open until: Jul 24, 2022

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Yu-Min Su, M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, National Kaohsiung Univ. of Science and Technology, Sanmin, Kaohsiung 80778, Taiwan. Email: [email protected]
Distinguished Professor, Dept. of Civil Engineering, National Central Univ., Jhongli, Taoyuan 320317, Taiwan; Director, Research Center of Smart Construction, National Central Univ., Jhongli, Taoyuan 320317, Taiwan; President, Safety and Health Association of Taiwan, Miaoli 350007, Taiwan (corresponding author). ORCID: https://orcid.org/0000-0002-6063-0464. Email: [email protected]
Ph.D. Student, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL 32601. ORCID: https://orcid.org/0000-0003-2109-8548. Email: [email protected]
Yu-Ting Hsu [email protected]
Associate Professor, Dept. of Civil Engineering, National Taiwan Univ., Taipei 10617, Taiwan. Email: [email protected]
Ming-Cheng Huang [email protected]
Researcher, Institute of Transportation, Ministry of Transportation and Communications, Songshan, Taipei 10548, Taiwan. Email: [email protected]

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