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At the end of each year, the German Federal Highway Research Institute (BASt) publishes the road safety balance of the closing year. They describe the development of accident and casualty numbers disaggregated by road user types, age groups, type of road and the consequences of the accidents. However, at the time of publishing, these series are only available for the first eight or nine months of the year. To make the balance for the whole year, the last three or four months are forecasted. The objective of this study was to improve the accuracy of these forecasts through structural time-series models that include effects of meteorological conditions. The results show that, compared to the earlier heuristic approach, root mean squared errors are reduced by up to 55% and only two out of the 27 different data series yield a modest rise of prediction errors. With the exception of four data series, prediction accuracies also clearly improve incorporating meteorological data in the analysis. We conclude that our approach provides a valid alternative to provide input to policy makers in Germany.
The case study "Digital Test Area Autobahn" is presented. A new built (September 2016) pre-stressed concrete bridge is equipped with different monitoring systems for the detection of traffic load, climatic influence and the reaction of the bridge. Possibilities for the implementation of a VoI (Value of Information) analyses are presented.
Road authorities, freight, and logistic industries face a multitude of challenges in a world changing at an ever growing pace. While globalization, changes in technology, demography, and traffic, for instance, have received much attention over the bygone decades, climate change has not been treated with equal care until recently. However, since it has been recognized that climate change jeopardizes many business areas in transport, freight, and logistics, research programs investigating future threats have been initiated. One of these programs is the Conference of European Directors of Roads (CEDR) Transnational Research Programme (TRP), which emerged about a decade ago from a cooperation between European National Road Authorities and the EU. This paper presents findings of a CEDR project called CliPDaR, which has been designed to answer questions from road authorities concerning climate-driven future threats to transport infrastructure. Pertaining results are based on two potential future socio-economic pathways of mankind (one strongly economically oriented "A2" and one more balanced scenario "A1B"), which are used to drive global climate models (GCMs) producing global and continental scale climate change projections. In order to achieve climate change projections, which are valid on regional scales, GCM projections are downscaled by regional climate models. Results shown here originate from research questions raised by European Road Authorities. They refer to future occurrence frequencies of severely cold winter seasons in Fennoscandia, to particularly hot summer seasons in the Iberian Peninsula and to changes in extreme weather phenomena triggering landslides and rutting in Central Europe. Future occurrence frequencies of extreme winter and summer conditions are investigated by empirical orthogonal function analyses of GCM projections driven with by A2 and A1B pathways. The analysis of future weather phenomena triggering landslides and rutting events requires downscaled climate change projections. Hence, corresponding results are based on an ensemble of RCM projections, which was available for the A1B scenario. All analyzed risks to transport infrastructure are found to increase over the decades ahead with accelerating pace towards the end of this century. Mean Fennoscandian winter temperatures by the end of this century may match conditions of rather warm winter season experienced in the past and particularly warm future winter temperatures have not been observed so far. This applies in an even more pronounced manner to summer seasons in the Iberian Peninsula. Occurrence frequencies of extreme climate phenomena triggering landslides and rutting events in Central Europe are also projected to rise. Results show spatially differentiated patterns and indicate accelerated rates of increases.
Tempered road system
(2014)
The road performance is strongly influenced by climatic conditions. Winter conditions have massive impact on traffic security but also pavement lifetime decreases as an effect of temperature variation during wintertime and summertime. Heating and cooling of a pavement is a possibility to work against these impacts. To discuss the boundary conditions for an efficient construction and operation of a tempered road system a feasibility study has been made. The study shows the feasibility and identifies thermal energy buffering as a main challenge. When thinking of a fully regenerative operation of a large tempered road system (e.g. 20.000 m-²) the storage volume has to be too large for an economic and structurally engineered satisfactory solution. However, the location dependent usage of natural geothermal storage possibilities and as well smart alignment and construction promises a feasibility realization.
Various climate projections predict changing climatic parameters like temperature, precipitation, wind speed etc. for Germany. This could have severe impacts on road transport infrastructure as well as road traffic itself. At the Federal Highway Research Institute (Bundesanstalt für Straßenwesen (BASt) a strategy was developed to adapt roads and engineering structures to the impacts of climate change. The strategy "Anpassung der Straßenverkehrsinfrastruktur an den Klimawandel / Adaptation of the road infrastructure to climate change (AdSVIS)" comprises currently about 15 projects. On the basis of the identification of the hazards and the combination of the climate and road network data, the road transport infrastructure which might be affected is to be determined. Adaptation measures are to be developed for the identified risk areas and assessed as to their effectiveness. Special attention is given to international cooperation since climate change is a truly global challenge.
This article reports on a two-year study (2006 to 2008) of the distribution of de-icing salts (NaCl) applied to the road and the influence of traffic on the effective times of the de-icing salts. The research was focused on the needed resting periods of de-icing salts on road surfaces. The study used sensors installed in two lanes of the Motorway A4 in the area of the Dresden-Hellerau Highway Surveillance Center (Germany), to measure air and ground temperatures, wind speed and direction, liquid film thicknesses and residual quantities of salt on the road surface during ongoing traffic at 5-minute intervals. The authors conclude with four observations that can be useful for applying de-icing salts more judiciously: preventive spreading is only sensible if applied timely, i.e. immediately prior to icing events to be expected; the time-frame for preventive spreading on the dry road surface is maximum 60 minutes and on the moist road surface maximum 120 minutes; by increasing spreading densities in preventive spreading, this timeframe cannot be extended; it is completely sufficient if the spreading width is adjusted in such a way that the outer wheel tracks are also covered by the spreading. Distribution across the entire width of the lane will be caused by the rolling traffic within a few minutes.
As the data for road weather stations is used for online traffic control within section control systems, it is very important for the efficiency of the traffic control systems to be based on reliable data of a high quality. Therefore, a Test Site for checking the quality of road weather stations was established near Munich in Germany in 2003 and has been operational since then. In close co-operation with all participants (sensor manufacturers, road authorities, German Federal Research Institute, research and consultancy bodies), the overall goal was to improve the sensors" quality as well as to establish methods to detect failures in measurements. Furthermore, several improvements were carried out within the scope of the Test Site using the expertise of all participants and the infrastructure of the Test Site. The developments, reports and results obtained are both significant and helpful for manufacturers, road authorities, practitioners, research and consultancy.
This paper describes the methodology for the assessment of the socio-economic impact of SAFESPOT applications. The applications selected for the assessment cover vehicle to vehicle (v2v) as well as vehicle to infrastructure (v2i) communication systems. The applications address main problem areas of road safety: accidents at intersections, accidents due to hazardous road and weather conditions and accidents due to over speeding and inappropriate distance. The assessment methodology relies in its core on cost-benefit analysis (CBA) as the most widespread tool to assess the profitability of applications form the society point of view. The assessment is however not limited to CBA but also considers the economic effects for particular stakeholder groups such as users, public authorities and the like. Their individual cost and benefits can be investigated in stakeholder analyses. Both elements, CBA and stakeholder analysis, form an integrated assessment approach which is applied here. The assessment makes use of the sound methodological base which was provided by projects such as SEiSS and eIMPACT. Some characteristics of co-operative systems however call for special attention within the assessment. Most prominently, the assessment will concentrate on a bundle of applications. The impact of this bundle will be assessed under the conditions of different business and service models. These issues will be addressed in the paper. Moreover, this paper also provides insight in likely patterns of results and first results of socio-economic impact assessment itself.