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
Researchers 'count cars' -- literally -- to find a better way to control heavy traffic
10.08.2017 | Florida Atlantic University
From parking garage to smart multi-purpose garage
19.07.2017 | Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO
Whether you call it effervescent, fizzy, or sparkling, carbonated water is making a comeback as a beverage. Aside from quenching thirst, researchers at the University of Illinois at Urbana-Champaign have discovered a new use for these "bubbly" concoctions that will have major impact on the manufacturer of the world's thinnest, flattest, and one most useful materials -- graphene.
As graphene's popularity grows as an advanced "wonder" material, the speed and quality at which it can be manufactured will be paramount. With that in mind,...
Physicists at the University of Bonn have managed to create optical hollows and more complex patterns into which the light of a Bose-Einstein condensate flows. The creation of such highly low-loss structures for light is a prerequisite for complex light circuits, such as for quantum information processing for a new generation of computers. The researchers are now presenting their results in the journal Nature Photonics.
Light particles (photons) occur as tiny, indivisible portions. Many thousands of these light portions can be merged to form a single super-photon if they are...
For the first time, scientists have shown that circular RNA is linked to brain function. When a RNA molecule called Cdr1as was deleted from the genome of mice, the animals had problems filtering out unnecessary information – like patients suffering from neuropsychiatric disorders.
While hundreds of circular RNAs (circRNAs) are abundant in mammalian brains, one big question has remained unanswered: What are they actually good for? In the...
An experimental small satellite has successfully collected and delivered data on a key measurement for predicting changes in Earth's climate.
The Radiometer Assessment using Vertically Aligned Nanotubes (RAVAN) CubeSat was launched into low-Earth orbit on Nov. 11, 2016, in order to test new...
A study led by scientists of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science in Hamburg presents evidence of the coexistence of superconductivity and “charge-density-waves” in compounds of the poorly-studied family of bismuthates. This observation opens up new perspectives for a deeper understanding of the phenomenon of high-temperature superconductivity, a topic which is at the core of condensed matter research since more than 30 years. The paper by Nicoletti et al has been published in the PNAS.
Since the beginning of the 20th century, superconductivity had been observed in some metals at temperatures only a few degrees above the absolute zero (minus...
16.08.2017 | Event News
04.08.2017 | Event News
26.07.2017 | Event News
21.08.2017 | Medical Engineering
21.08.2017 | Materials Sciences
21.08.2017 | Life Sciences