Submission ID 115053
| Session Title | PV - Designing, Building and Managing a Sustainable Pavement Network |
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| Title | Calculation of the condition development of urban roads using measurement data to improve asset management |
| Abstract | The aim of asset management of urban roads is to find the optimum balance between minimum financial investment and maximum service life of the infrastructure. To make this possible, it is necessary to be able to forecast their condition and condition development as precisely as possible. One possible solution is offered by the German regulations for the computational prognosis of the condition development of traffic routes, which are currently used almost exclusively for heavily used roads, such as highways. This involves using data on the road structure, traffic load, temperature conditions and the laboratory-tested properties of the materials used to predict the damage and remaining service life of the road pavement. In the mFUND project "Data-based assessment of the resilience of urban road infrastructure - DaRkSeit", funded by the German Federal Ministry for Digital and Transport, temperature sensors and Weigh-in-motion systems were installed in an inner-city main road in Münster to collect data on the urban traffic load, i.e. the amount of traffic, statistical distribution of vehicle types and measurements of axle loads, as well as on the prevailing temperature conditions in the road. With this measurement data and the results of the material tests, the temperature and thus material conditions of the asphalt layers can be continuously calculated and the damage caused by each individual load change can then be determined. The results, which are based on the measurement data collected over two years, already provide a good impression of the effects of daily and seasonal influences due to temperature and traffic on the condition development of the individual asphalt layers. In addition, clear differences can be seen when comparing the results of predominantly shaded and sunlit road sections as well as in the fatigue progression of the two years, mainly due to different seasonal weather conditions. The composition of the traffic, the changes in temperature and the development of the condition of the asphalt layers at the measuring stations can be tracked since the beginning of 2023. The associated data basis grows with each additional year and the experience gained can be applied to other urban roads where the costly installation of sensor technology is not possible. At the point at which damage is detected in the asphalt layers, the calculation results can be calibrated to the actual condition, thereby improving the quality of the condition forecast and asset management. |
| Presentation Description (for App) | Weigh-in-motion systems, temperature sensors and material tests are used to calculate and forecast the condition development of the asphalt road pavement at two measuring stations on a main urban road. The measurement data and results improve the condition forecast for determining new construction and maintenance measures in the asset management. |
| Author and/or Presenter Information | Uwe Reinhardt, Institute of Urban and Pavement Engineering, TUD Dresden University of Technology, Germany Wolf Uhlig, Other Alexander Zeissler, Other Alexander Buttgereit, Jade University, Germany |
