Development of AI technology on expressway surface monitoring for advanced HPMS ecosystem

Ki Hoon Moon; Dueck Su Sohn

doi:10.22702/jkai.2025.15.1.11

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2025 Vol.15, Issue 1 Preview Page Next Page

Scientific Paper

Development of AI technology on expressway surface monitoring for advanced HPMS ecosystem

4 July 2025. pp. 113-121

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Abstract

It is well known that optimized pavement thickness design skills and reliable construction technologies have been considered being significant factors for expressway in South Korea till early 2,000. However, a proper management and rehabilitation efforts of existing expressway rather than building new lanes became an important factor after 2,005 after total length of constructed expressway exceeded more than 3,000 km, approximately. One of good examples for the mentioned efforts is rising of HPMS (i.e. Highway Pavement Management System) concept, trials and corresponding applications. In HPMS, the most important factor is: surveying and analyzing existing expressway surface condition with reasonable, reliable and efficient manner. Due to this reason, application of various advanced technologies on HPMS area were considered since early 2010. For the past decades, many advanced technologies such as AI(i.e. Artificial Intelligence) modeling approach and corresponding physical equipment were considered to be applied on roadway condition monitoring and analysis procedure. By applying AI technologies in HPMS business area, two major things can be achieved: first, an automated pavement surface monitoring work for efficiency and secondly, saving current huge HPMS management budget through more efficient and reliable surveying results. In this paper, the feasibility of applying AI based pavement surface monitoring and analysis technology was considered. As a result, AI based pavement surface monitoring and analysis tool provided a reasonable and reliable results compared to the conventional analysis approach. This finding provides a promising signal that more AI based technologies can successfully applied in HPMS business area in the next future.

Keywords

HPMS

management

surface condition

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Information

Publisher :KOREAN ASPHALT INSTITUTE
Publisher(Ko) :한국아스팔트학회
Journal Title :Journal of the Korean Asphalt Institute
Journal Title(Ko) :한국아스팔트학회지
Volume : 15
No :1
Pages :113-121
Received Date : 2025-06-12
Revised Date : 2025-06-20
Accepted Date : 2025-06-25
DOI :https://doi.org/10.22702/jkai.2025.15.1.11

Journal of the Korean Asphalt Institute ISSN:2234-0785(Print) 2635-9553(Online) 한국아스팔트학회지

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