Intelligent paving and compaction technologies for asphalt pavement

被引:15
|
作者
Zhan, You [1 ]
Zhang, Yurong [1 ]
Nie, Zilong [1 ]
Luo, Zhiwei [1 ]
Qiu, Shi [2 ,5 ]
Wang, Jin [2 ]
Zhang, Allen A. [1 ,2 ]
Ai, Changfa [1 ]
Tang, Xiong [3 ]
Tan, Chaoyang [3 ,4 ]
机构
[1] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Peoples R China
[2] Highway Engn Key Lab Sichuan Prov, Chengdu 610031, Peoples R China
[3] Cent South Univ, Sch Civil Engn, Changsha 410075, Peoples R China
[4] Sichuan Transportat Construct Grp Co Ltd, Chengdu 610041, Peoples R China
[5] Cent South Univ, Railway Campus,68 Shaoshan South Rd, Changsha 410075, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent paving; Intelligent compaction; Pavement construction; Integrated management; Pavement quality; MONITORING-SYSTEM; SPATIAL-ANALYSIS; QUALITY-CONTROL; FLEET;
D O I
10.1016/j.autcon.2023.105081
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Advanced information technologies, such as artificial intelligence (AI) and big data analytics, along with global navigation systems and the Internet of Things (IoT), are increasingly finding application in the transportation industry. With this sector, pavement construction holds a prominent position, and its technologies are swiftly transitioning toward digitalization, automation, intelligence, and informationization. This paper elaborates on the key principles of intelligent technologies utilized in paving and paving compaction, discussing high-precision intelligent control technology, intelligent driving system control technology, compaction detection technology, intelligent compaction positioning technology, field coordination technology, traffic control technology, intelligent monitoring technology, and intelligent management systems. The paper highlights the research progress and development trends of each technology, while also addressing their respective shortcomings and current research limitations. Ultimately, future development directions for each intelligent technology are provided, including insights to advance the field of intelligent paving and paving compaction.
引用
收藏
页数:15
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