MSc (CE) Antti Ruotoistenmäki is presenting his doctoral dissertation “Condition Data in Road Maintenance Management” for public examination on Friday, 16 November at 2 pm at the HSE Economicum lecture hall (Arkadiankatu 7). The dissertation belongs to the Quantitative Methods of Economics and Management Science. His opponent is Professor Andrus Aavik of Tallinn University of Technology and the custos (chairman) is Professor Tomi Seppälä of HSE.
The total asset value of Finnish infrastructure is € 120 billion, of which the value of public road network administered by the Finnish Road Administration is some € 15 billion. Its annual maintenance and rehabilitation budget is approximately € 200 million. The condition of the road network, a key input to the management process, affects the annual road user costs of some € 10 billion. It is also used for evaluating maintenance benefits.
In his dissertation, Ruotoistenmäki is focusing to the information collected from paved road network of its surface profile (serviceability), cracking (automated image capturing and processing) and deflections measured using the falling weight deflectometer. The latter describe the road structural condition. Ruotoistenmäki uses several statistical methods, partly so as to choose the most appropriate method for accomplishing each task, and partly so as to create different views on the subject, which regardless of its economical importance has been the subject of surprisingly little statistical research.
The owners of road and street networks, as well as those collecting and analysing condition data, may apply the results of this study in their operations. Especially in the long-term maintenance contract the responsibility of meeting the functional requirements (condition) belongs to the contractor who may benefit from the results of this study. Focusing on maintenance of paved roads, the results of this study can be generalised to infrastructure asset management.
Ruotoistenmäki shows that the normality of the distribution of condition indicators, desirable in their statistical analysis, can often be achieved using logarithmic transformation. This enables the comparison of relative accuracies from various measurements with different scales. Using the route optimisation method developed in this study, the measurement budget can be allocated cost-effectively so that only those sections are measured where the benefits of improved accuracy in maintenance decision-making are the greatest. The current measurement policy is to measure high-trafficked roads every year, but in one direction only. The measurement budget could be reallocated so that all lanes are measured every other year.
Antti Ruotoistenmäki works as a leading consultant in the Consulting services unit of Destia in Helsinki since February 2007. He received his MSc (CE) from Helsinki University of Technology in 1994, and has previously worked as a researcher at the Technical Research Centre of Finland and Helsinki School of Economics, and as a consultant in Inframan Ltd. and Pöyry Infra Oy. His professional tasks are related with road maintenance management and condition measurements.
Terhi Ollikainen | alfa
Tool helps cities to plan electric bus routes, and calculate the benefits
09.01.2017 | International Institute for Applied Systems Analysis (IIASA)
Realistic training for extreme flight conditions
28.12.2016 | Technical University of Munich (TUM)
More and more automobile companies are focusing on body parts made of carbon fiber reinforced plastics (CFRP). However, manufacturing and repair costs must be further reduced in order to make CFRP more economical in use. Together with the Volkswagen AG and five other partners in the project HolQueSt 3D, the Laser Zentrum Hannover e.V. (LZH) has developed laser processes for the automatic trimming, drilling and repair of three-dimensional components.
Automated manufacturing processes are the basis for ultimately establishing the series production of CFRP components. In the project HolQueSt 3D, the LZH has...
Reflecting the structure of composites found in nature and the ancient world, researchers at the University of Illinois at Urbana-Champaign have synthesized thin carbon nanotube (CNT) textiles that exhibit both high electrical conductivity and a level of toughness that is about fifty times higher than copper films, currently used in electronics.
"The structural robustness of thin metal films has significant importance for the reliable operation of smart skin and flexible electronics including...
The nearby, giant radio galaxy M87 hosts a supermassive black hole (BH) and is well-known for its bright jet dominating the spectrum over ten orders of magnitude in frequency. Due to its proximity, jet prominence, and the large black hole mass, M87 is the best laboratory for investigating the formation, acceleration, and collimation of relativistic jets. A research team led by Silke Britzen from the Max Planck Institute for Radio Astronomy in Bonn, Germany, has found strong indication for turbulent processes connecting the accretion disk and the jet of that galaxy providing insights into the longstanding problem of the origin of astrophysical jets.
Supermassive black holes form some of the most enigmatic phenomena in astrophysics. Their enormous energy output is supposed to be generated by the...
The probability to find a certain number of photons inside a laser pulse usually corresponds to a classical distribution of independent events, the so-called...
Microprocessors based on atomically thin materials hold the promise of the evolution of traditional processors as well as new applications in the field of flexible electronics. Now, a TU Wien research team led by Thomas Müller has made a breakthrough in this field as part of an ongoing research project.
Two-dimensional materials, or 2D materials for short, are extremely versatile, although – or often more precisely because – they are made up of just one or a...
20.04.2017 | Event News
18.04.2017 | Event News
03.04.2017 | Event News
27.04.2017 | Life Sciences
27.04.2017 | Physics and Astronomy
27.04.2017 | Earth Sciences