Individual paper (pdf - 1.1MB)

Highway maintaining authorities come in all shapes and sizes yet share the same set of objectives – keeping the travelling public safe whilst minimising unnecessary expenditure and their environmental impact. Historic route optimisation methodology previously has focussed on shortest distance travelled to make operations efficient for authorities and their gritting routes, often to the detriment [...]

Individual paper (pdf - 4.7MB)

Appropriate road management, incorporating weather forecasts, frequent monitoring, and effective coordination of personnel and machinery, is essential to mitigate traffic disasters caused by severe blowing snow and heavy snowfalls. A system that synthesizes digital data with the expertise of road managers would support objective, efficient decision-making before a disaster, particularly in a social [...]

Individual paper (pdf - 795KB)

The Royal Meteorological Institute of Belgium (RMI) runs a dedicated road weather forecasting system (GMS) that delivers warnings for dangerous conditions on Belgian roads and highways, in support of winter management by regional road and traffic management agencies. The RMI GMS has been operational since winter 2018-2019 and is currently providing forecasts for about 100 road weather station (RWS) [...]

Individual paper (pdf - 698KB)

Access to reliable Road Weather Information System (RWIS) data is essential for accurate road weather forecasting and real time data that provides road managers with the information needed to justify both strategic and tactical decisions, not only in winter but all year round. Innovation and development of technology being brought to market each-year has accelerated. Therefore, a robust and industry-wide [...]

Individual paper (pdf - 646KB)

Winter contaminants significantly reduce braking performance on road and airport pavements, increasing accident risk. Identifying low-friction areas linked to weather is essential for ensuring winter serviceability. Pavement friction measuring equipment (CFME) provides valuable data, provided the devices are reliable and properly used. An operational measurement and CFME intercomparison program on [...]

Individual paper (pdf - 946KB)

ABSTRACT: Measuring road conditions, particularly during winter, is a challenging task for instances responsible for road maintenance. Traditional instrumentation is expensive, requires regular maintenance and is not cost effective in remote areas. To address this, a study was conducted to evaluate the use of low-cost IoT devices for detecting snow and winter conditions on roads. The device employed [...]

Individual paper (pdf - 718KB)

The aim of our research is to evaluate the technical viability of using Landsat satellite images in Road Weather Information Systems (RWIS). We are conducting a technical feasibility study on the use of satellite images for the purposes of determining the thermal footprint of roads. The purpose of our project was to conduct a feasibility study where we evaluated the technical viability of using Landsat [...]

Individual paper (pdf - 718KB)

On Finnish roads the weather conditions are monitored using a network of road weather observation systems consisting of road weather cameras and road weather stations. In 2023 the Finnish Transport Infrastructure Agency (FTIA) created a prioritization tool for determining which of the proposed new road weather observation systems bring the best benefits for winter maintenance of roads. The prioritization [...]

Individual paper (pdf - 1.3MB)

Accurate road weather information and forecasts are essential for effective road maintenance, especially during winter. Understanding the road surface conditions and prevailing meteorological factors is crucial for applying appropriate treatments and ensuring safe driving. Traditionally, weather conditions are measured using specialized sensors, which are expensive and require frequent maintenance. [...]

Individual paper (pdf - 663KB)

Fintraffic Road Ltd. has initiated the development of a national-level digital twin that encompasses both real-time road conditions and traffic situations in Finland. The aim is to create high-quality situational awareness data on weather and traffic in real-time, improving the quality of traffic management, winter maintenance, and traffic information services, especially in arctic winter conditions. [...]

Individual paper (pdf - 1.2MB)

There is a steep topography , and a variety of weather phenomena occur throughout the year in Japan. In addition, expressways are built along this topography, so the weather characteristics of each region are more pronounced. Recently, there has been an increase in the frequency of short-term heavy rain/heavy snow, and many disasters have occurred as a result. For these reasons, road administrators [...]

Individual paper (pdf - 957KB)

Effective winter road maintenance depends on reliable monitoring of weather-related road conditions. This is essential to ensure road safety and to optimise the deployment of personnel, machinery and consumables such as fuel and gritting materials. While conventional road sensors enable selective measurements and are maintenance-intensive, the use of existing traffic cameras offers a cost-efficient [...]

Individual paper (pdf - 4.8MB)

?In recent years, the frequency and severity of disasters has increased due to the extreme weather caused by climate change. On the other hand, for highway companies, in an environment where personnel with experience in disaster response are regularly transferred, it is difficult to accumulate the technical capabilities of the organization to respond to weather risks. In order to maintain and improve [...]

Individual paper (pdf - 1.4MB)

Knowing the snow and ice conditions on winter roads is crucial for appropriate winter road maintenance. However, conventional devices for measuring such conditions are expensive and labor-intensive. To address these issues, we used deep learning to develop a method for estimating the snow and ice conditions on winter roads, such as the skid resistance of the road surface, the qualitative road surface [...]

Individual paper (pdf - 898KB)

This paper presents the practical applications of the Effort Model, a GIS-based simulation framework developed to support strategic and tactical decision-making in winter road maintenance (WRM) in the context of Norway. Building on previous work, the model estimates the number of plowing, salting, and combined operations required to maintain road segments according to their maintenance class. Two [...]

Individual paper (pdf - 1.3MB)

The possibility has been examined for predicting regional road disasters from similar past weather conditions for road management in this study. A road disaster search system has been built, which mainly consists of a database that stores records of road disasters such as the administrator's name, route name, road closure section, time of road closure, and cause of road closure, and computation to [...]

Individual paper (pdf - 823KB)

Winter Road Intelligence Project (WRIP) is a collaboration between the Nordic countries (Sweden, Denmark, Finland, Norway and Iceland). Goals is to investigate latest technologies for road weather and road condition monitoring (WP1-2) and data processing and data consumption (WP3-4) to improve forecast and maintenance decision support systems (MDSS). This presentation applies to findings from WP3-4. [...]

Individual paper (pdf - 393KB)

In Québec, the annual budget for winter road maintenance is many hundreds of millions of dollars. It can be difficult for MTMD and municipalities to explain the budgets allocated for these maintenance expenses and to understand the quantities of materials (salts, abrasives) and resources (equipment, personnel) required to carry out winter maintenance operations. Relying on the severity of past winters [...]