The dependencies for calculating the pavement condition index based on monitoring data collected by mobile complexes for the multi-criteria assessment of the operational condition of street and road network objects “ADS-MADI” are presented. The necessity of considering environmental factors, properties of pavement materials, quality and timing of repair and rehabilitation works, sufficiency of financing volumes when estimating the pavement condition index and forecasting the remaining service life of the pavement has been substantiated. The results of visualization of the monitoring of the Moscow city street and road network objects in 2019–2020 are given in the form of diagrams and on the “heat map”. The resulting pavement condition index values can be used to assess pavement conditions, predict the time required for maintenance and repair activities, and estimate future funding needs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Models for Calculating the Pavement Condition Index


    Beteiligte:
    Brezhneva, M. A. (Autor:in) / Shugaev, K. E. (Autor:in) / Vasiliev, Yu. E. (Autor:in) / Tsesar, A. A. (Autor:in) / Varshavskiy, S. V. (Autor:in)


    Erscheinungsdatum :

    2023-11-15


    Format / Umfang :

    913951 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Relationship of Pavement Maintenance Costs to the Pavement Condition Index

    E. F. Reichelt / E. A. Sharaf / K. C. Sinha et al. | NTIS | 1987


    Pavement Condition

    Bektas, Faith / Smadi, Omar / Nlenanya, Inya | Transportation Research Record | 2019


    Effect of Swelling Soil on Pavement Condition Index of Airport Runway Pavement

    Miah, Md Tofail / Oh, Erwin / Chai, Gary et al. | Transportation Research Record | 2022


    Using graphical models to interpret pavement condition data

    Attoh-Okine, N.D. | Online Contents | 2005


    Large-scale evaluation of pavement performance models utilizing automated pavement condition survey data

    Xiang Shu / Zhongren Wang / Imad A. Basheer | DOAJ | 2022

    Freier Zugriff