The enormous aging road infrastructure is serious present issue in Japan. This critical problem is caused by the rapid increase of deterioration and lack of engineers due to the population decline. In order to deal with this problem, we need an innovative approach for the improvement of productivity in road asset management as soon as possible. This innovative system should accurately predict the diagnosis and deterioration of the road structure with the improving the efficiency and rationalization of inspection technique, which then enables timely and appropriate repair and reinforcement.

    Metropolitan Express Company Limited, which is an expressway administrator in Tokyo Japan, utilizes smart infrastructure management system that supports to optimize life cycle cost and realize sustainable infrastructure. This innovative system makes use of ICT (Information and Communication Technology), and connects various information efficiently by using IoT (Internet of Things). Furthermore, it can allow to visualize prospective tasks and to help judgement of engineers by applying AI (Artificial Intelligence) technology.

    In this paper, the outline of asset management system applied in Metropolitan Expressway Company for our maintenance work is introduced. As core technologies of this asset management system, data platform based on GIS (Geographical Information System), the utilization of digital twin by means of 3 dimensional point cloud data, and patrolling and inspection system that makes use of the patrol vehicle with high performance drive recorder are mainly described.


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    Title :

    Smart Infrastructure Asset Management System on Metropolitan Expressway in Japan


    Additional title:

    Sustain. Civil Infrastruct.



    Conference:

    International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates November 07, 2021 - November 10, 2021



    Publication date :

    2022-04-21


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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