[This article belongs to Volume - 57, Issue - 06]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-06-2025-848

Title : A Literature Review of Artificial Intelligence - Driven Advancements in Asphalt Quality Assurance
Dr. Edwin Arboleda, Dr. Willie Buclatin, Engr. Ryan Castronuevo, Engr. Mark Glenn Dominguez, Engr. Reynaldo Llamera,

Abstract : The revolutionary influence of Artificial Intelligence (AI) developments on asphalt quality assurance in the context of road re-blocking initiatives. It is clear from a careful review of current academic publications that artificial intelligence (AI) technologies are changing the asphalt quality evaluation field. The study investigates various approaches, such as dynamic quality monitoring systems, intelligent sensing aggregates, and advanced imaging methods for examining aggregate forms in asphalt mixes. Prominent advancements include the incorporation of artificial intelligence (AI) into the Internet of Things (IoT), 5G technology, and satellite systems highlighting the possibility of greatly improving pavement performance assessment. The construction sector has the potential to improve road infrastructure with increased precision, efficiency, and sustainability by utilizing AI-driven methods.