Technical asset value assessment within asset management
The asset value of road infrastructure assets (pavements, bridges, tunnels) can be a decisive parameter for objective decisions in the context of asset management. It can be calculated in different ways, on the one hand from a more economic and accounting point of view and on the other hand in form of a technical oriented solution. At the moment, different approaches for a technical, condition-based asset value are under investigation in the three DACH countries. It should be used as a Key Performance Indicator (KPI) for controlling but also for benchmarking of road infrastructure quality, availability and safety, considering life-cycle costs and risks. A unified assessment framework should be integrated anyway.
The main objective of TAnIA – Technical asset value assessment within asset management – is the development and practical approach of a calculation procedure for a technical, condition-based asset value and a replacement value of road infrastructure assets. It should be a part of a sustainable life-cycle solution as basis for a strategic and technical decision process (keyword maintenance targets and objectives). TAniA provides an essential principle for decisions and controlling of maintenance requirements, considering target values of decisive performance indicators and their influencing factors. A basic requirement for a comparison of different road networks is a unified calculation procedure, which leads TAniA to a practical oriented solution. Thus, the expected results can be summarized as follows:
- Combination and preparation of basics to a holistic assessment framework
- Development of a method for the calculation of the technical asset value to a certain point of time but also subject to condition and performance prediction in combination with maintenance treatments
- Development of dynamic life-cycle process for the decisive construction components as well as for sub-categories
- Development of a controlling element and process for asset management on different decision levels (strategic, technical)
- Practical testing and development of an implementation manual
The main part of AIT's work is the extension and determination of dynamic life cycle curves with approaches using machine learning such as random forest classifications. AIT is leading a work package and can build on already completed projects such as AMBITION & OPTIMAL.
Funded by the Federal Ministry for Climate Protection, Environment, Energy, Mobility, Innovation and Technology (BMK) and the Austrian Research Promotion Agency (FFG) as part of the D-A-CH CALL 2018/D-A-CH Cooperation Transport Infrastructure Research.
