Artificial intelligence Surface Temperature Prediction Model

In a mild climate where temperatures are often close to freezing, determining which parts of a road network should be salted on a given night is challenging. Accurate, granular forecasts of road conditions are needed to avoid unnecessary salting whilst maintaining safety. We present an Al road surface temperature prediction model trained using data from a network of 112 sensors across Kent in the Southeast of England. Using weather forecasts and location specific features (elevation, road type, [...]

Climate Resilience in the Road Sector in Mozambique

Mozambique is a coastal country constituted by a relief in the form of a stairway that decreases in altitude as we move from the interior to the coast. The hydrographic network is made up of rivers that run from West to East and nine of these originate in neighboring countries, this fact contributes to the record of frequent floods and/or floods in the lowlands.

Development of a Doctrine on the Use of Abrasives in France

Abrasives have been used for a long time and quite frequently for winter maintenance. However, the materials and practices used vary greatly and as things stand there are no reference document in France.

Increased Resilience of Earthworks on State Roads in Northern Spain – Lessons Learned between 2011 and 2018

Routes/Roads Features N°392

Development of Anti-Icer Spreading Support Technology Based on Operator’s Mental Workload Evaluation

The authors have been working to establish an anti-icer spreading support technology that is inexpensive, does not depend on the operator’s skill level, and enables reliable and safe operation by a one-person work vehicle. Therefore, in the early studies, a series of experiments on the test track were performed. The benefits and problems that the spreading support brings to the operators by examining their mental workload as a function of the presence or absence and type of support were extracted. [...]