Research on Technologies and Construction Application of 3D Intelligent Milling

DOI

10.2991/978-94-6239-740-8_14How to use a DOI?

Keywords

Asphalt Pavement; Intelligent Milling; Cloud Data

Abstract

To address the problems of insufficient milling accuracy, limited bottom surface smoothness, and unstable paving quality in conventional milling operations, this study focuses on 3D intelligent milling technology. The key procedures, including high-precision pavement information acquisition, point cloud data preprocessing, road design model establishment, and onboard construction control, were systematically investigated. Based on this, an integrated technical route covering data acquisition, model establishment, construction implementation, and performance verification was developed. A field application was carried out on the maintenance project of Gaofuer Road in Hangzhou. Before construction, the original pavement showed obvious elevation fluctuation. The designed milling depth was 5 cm, and the maximum milling depth reached 8.8 cm. The results showed that, among the 554 points collected after intelligent milling, 445 points were controlled within ± 5 mm, accounting for 80.32%; 58 points were greater than or equal to 6 mm, accounting for 10.47%; and 51 points were less than or equal to − 6 mm, accounting for 9.21%. The overall precision was good. The study indicates that intelligent milling has good construction accuracy and field adaptability. It can effectively improve milling precision and bottom surface smoothness, enhance construction continuity, and provide a stable base for subsequent paving. This study may provide a new solution for milling and repaving of complex pavements in road maintenance projects.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xin Yang
AU  - Hongbo Liao
AU  - Jinqiang Yang
AU  - Xiaobo Du
AU  - Jie Wang
AU  - Wenrui Li
PY  - 2026
DA  - 2026/08/14
TI  - Research on Technologies and Construction Application of 3D Intelligent Milling
BT  - Proceedings of the 2026 9th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2026)
PB  - Atlantis Press
SP  - 148
EP  - 156
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-740-8_14
DO  - 10.2991/978-94-6239-740-8_14
ID  - Yang2026
ER  -