Swedish National Road and Transport Research Institute

Coordinating Internal and External HMIs for Cooperative Driver-Pedestrian Situation Resolution

Traffic interactions between vehicles and pedestrians are inherently uncertain due to the dynamic nature of the interaction partners’ behavior. Resolutions require mutual understanding of the situation and each other’s intention, typically achieved through explicit and implicit c...

Application of Machine Learning in Municipal Pavement Condition Predictions

Machine learning (ML) has increasingly become a vital tool for accurate pavement condition prediction, enabling more effective maintenance planning and resource allocation. This study applies the random forest (RF) algorithm to predict the pavement condition index ( PCI ) for 202...

Who shapes Resilience Engineering? Gendered epistemic asymmetries in a socio-technical knowledge community

Resilience engineering is concerned with modelling adaptive capacity and performance variability in complex systems. As such, it constitutes a body of research and a knowledge community whose epistemic configuration may shape theoretical development primarily in ergonomics and so...

Projecting climate-induced river erosion for assessing future landslide susceptibility: methodological insights and lessons learned from five Swedish cases

Abstract Rivers worldwide are experiencing accelerating geomorphological change as climate‑driven increases in extreme precipitation and discharge intensify erosion, modify channel morphology, and increase landslide risk. This paper synthesizes more than a decade (2009–2022) of e...

Career plans and seafaring intentions among maritime students in China, Greece, Croatia, Montenegro, and the United Kingdom: A cross-national comparative study

Abstract Concerns about current and future officer shortages have intensified interest in understanding maritime students’ career plans. While previous research has primarily examined motivations for entering maritime education and training (MET), comparative evidence on students...

Staggered school start times for reducing peak travel demand: A case study of implementation processes and stakeholder impacts

In Sweden, peak-hour travel demand is ranked as the most important operational cost driver for public transport, linked to school and work hours. Achieving a more balanced demand throughout the day is therefore crucial for resource efficiency and promoting environmentally friendl...