Semantic Scholar Open Access 2023

Optimization Model for Timing of Preventive Maintenance of Asphalt Pavement Based on Decision Trees

Huishan Li L. Jiao

Abstrak

The timing of preventive maintenance for asphalt pavement determines the effectiveness and cost-effectiveness of preventive maintenance measures. Firstly, a weighted average method combining subjective and objective factors is used to evaluate the performance index of road sections and select preventive maintenance measures. Secondly, a decision tree model for preventive maintenance of highways in Gansu Province is established using field measurement data to determine the timing of preventive maintenance for road sections. Finally, the model is validated using the example of the G22 Qingdao-Lanzhou Expressway by evaluating the pavement service performance index and the timing of preventive maintenance. The results show that compared to directly establishing decision trees based on uniform standards, the decision tree established using field measurement data reflects the differences in the importance of various decision indicators and respects the objectivity of road data. It improves the poor portability of the original decision tree model and enables more accurate determination of the timing of preventive maintenance.

Penulis (2)

H

Huishan Li

L

L. Jiao

Format Sitasi

Li, H., Jiao, L. (2023). Optimization Model for Timing of Preventive Maintenance of Asphalt Pavement Based on Decision Trees. https://doi.org/10.54254/2755-2721/24/20230719

Akses Cepat

Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.54254/2755-2721/24/20230719
Akses
Open Access ✓