Chapter
Feb 6, 2024

Long-Term Performance Analysis of Pavement Maintenance Measures Based on DTW Algorithm

Publication: International Conference on Road and Airfield Pavement Technology 2023

ABSTRACT

In recent years, the cost of road maintenance has been increasing annually, and the importance of preventive maintenance for roads has been gaining more attention. Nevertheless, due to the varying maintenance times and long-term performance data of different roads, it is difficult to accurately assess the benefit of different preventive maintenance measures. In this study, the thin overlay, slurry seal, chip seal, and crack seal were considered as preventive maintenance measures, and the roughness, rutting, transverse cracking, longitudinal cracking, and alligator cracking as the long-term pavement performance. The data of maintenance measures and the long-term performance of pavement was selected from the long-term pavement performance (LTPP) database. The dynamic time warping (DTW) algorithm was used to evaluate the long-term performance of pavement that was maintained by different preventive maintenance measures and at different time. Results showed that the thin overlay has the most remarkable improvement effect on international roughness index (IRI) and rut depth (RD) of pavement, but the improvement effect of the other three maintenance measures on the long-term performance of pavement is almost the same and relatively small. The crack seals of longitudinal, transverse, and alligator cracks have little improvement on the long-term performance of the pavement. The DTW method showed excellent superiority in the evaluation of long-term pavement performance.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Chen, Yu, and Robert L. Lytton. 2021. “Exploratory Analysis of LTPP Faulting Data Using Statistical Techniques.” Construction and Building Materials 309 (November).
Dong, Shi, Jian Zhong, Peiwen Hao, Wenjin Zhang, Jun Chen, Yong Lei, and Adam Schneider. 2018. “Mining Multiple Association Rules in LTPP Database: An Analysis of Asphalt Pavement Thermal Cracking Distress.” Construction and Building Materials 191 (December): 837–52.
Gong, Hongren, Baoshan Huang, and Xiang Shu. 2018. “Field Performance Evaluation of Asphalt Mixtures Containing High Percentage of RAP Using LTPP Data.” Construction and Building Materials 176 (July): 118–28.
Gong, Hongren, Yiren Sun, Wei Hu, Pawel Andrzej Polaczyk, and Baoshan Huang. 2019a. “Investigating Impacts of Asphalt Mixture Properties on Pavement Performance Using LTPP Data through Random Forests.” Construction and Building Materials 204 (April): 203–12.
Gong, Hongren, Yiren Sun, Xiang Shu, and Baoshan Huang. 2018. “Use of Random Forests Regression for Predicting IRI of Asphalt Pavements.” Construction and Building Materials 189 (November): 890–97.
Guo, Pandeng, Silin Rao, Lin Hao, and Jingtao Wang. 2022. “Fault Diagnosis of a Semi-Batch Crystallization Process through Deep Learning Method.” Computers and Chemical Engineering 164 (August).
Guo, Rui, Tengfei Nian, and Fei zhou. 2020. “Analysis of Factors That Influence Anti-Rutting Performance of Asphalt Pavement.” Construction and Building Materials 254 (September).
Han, Bingye, Jianming Ling, and Hongduo Zhao. 2016. “Environmental Impacts of Different Maintenance and Rehabilitation Strategies for Asphalt Pavement.” Transportation Research Congress, pp. 312-322. Reston, VA: American Society of Civil Engineers, 2018.
Jia, Yanshun, Xiongwei Dai, Shaoquan Wang, Ying Gao, Jiashu Wang, and Wei Zhou. 2020. “Evaluation of Long-Term Effectiveness of Preventive Maintenance Treatments Using LTPP SPS-3 Experiment Data.” Construction and Building Materials 247 (June).
Jing, Xin Xing, and Xu Shi. 2012. “Speech Recognition Based on Efficient DTW Algorithm and Its DSP Implementation.” In Procedia Engineering, 29:832–36.
Li, Hongmei, Jianlin Shang, and Zheng Shen. n.d. “Investigation into Best Timing of Highway Asphalt Pavement Preventive Maintenance Based on Benefit-Cost Analysis.” In CICTP 2020, pp. 1896-1904. 2020.
Li, Jiale, Tao Liu, Xuefei Wang, and Jianyou Yu. 2022. “Automated Asphalt Pavement Damage Rate Detection Based on Optimized GA-CNN.” Automation in Construction 136 (April).
Li, Jiale, Guohui Yin, Xuefei Wang, and Weixi Yan. 2022. “Automated Decision Making in Highway Pavement Preventive Maintenance Based on Deep Learning.” Automation in Construction 135 (March).
Mohammadi, Alireza, Luis Amador-Jimenez, and Feras Elsaid. 2019. “Simplified Pavement Performance Modeling with Only Two-Time Series Observations: A Case Study of Montreal Island.” Journal of Transportation Engineering, Part B: Pavements 145 (4): 05019004.
Pandya, H, ; T Weideli, ; M Elshaer, ; Y Mehta, and A Ali. n.d. “Performance Evaluation of Composite Pavements Using Long-Term Pavement Performance (LTPP) Database.” In Airfield and Highway Pavements 2019: Design, Construction, Condition Evaluation, and Management of Pavements, pp. 327-334. Reston, VA: American Society of Civil Engineers, 2019.
Wang, Zilong, and Hao Wang. 2017. “Life-Cycle Cost Analysis of Optimal Timing of Pavement Preservation.” Frontiers of Structural and Civil Engineering 11 (1): 17–26.
Yu, Ye, and Lu Sun. 2018. “Effect of Overlay Thickness, Overlay Material, and Pre-Overlay Treatment on Evolution of Asphalt Concrete Overlay Roughness in LTPP SPS-5 Experiment: A Multilevel Model Approach.” Construction and Building Materials 162 (February): 192–201.
Zhang, Jun, Yizhuang David Wang, and Yongtao Su. 2019. “Fatigue Damage Evolution Model of Asphalt Mixture Considering Influence of Loading Frequency.” Construction and Building Materials 218 (September): 712–20.
Zhu, Jie, Ming Chen, Shujie Wang, and Qianrong Lei. n.d. “Study on Evaluation Method of Implementation Effect of Highway Asphalt Pavement Maintenance Project.” In CICTP 2020, pp. 1163-1174. 2020.

Information & Authors

Information

Published In

Go to International Conference on Road and Airfield Pavement Technology 2023
International Conference on Road and Airfield Pavement Technology 2023
Pages: 894 - 903

History

Published online: Feb 6, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Jinxi Zhang [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China (corresponding author). Email: [email protected]
Yuxuan Zhang [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$158.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$158.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share