Human visuospatial cognition plays a critical role in risk perception and resultant decision-
making. In the context of hazardous meteorological conditions, risk communication aspiring …

This paper analyses temperature and snow patterns of winters (December–February)
averaged for the territory of the Czech Republic during the 1961–2021 period and their …

Forecasts from numerical weather prediction (NWP) models play a critical role in many
sectors of the US economy. Improvements to operational NWP model forecasts are …

Innovative technologies that support implementation of automated vehicles continue to
develop at a rapid pace. These advances strive to increase efficiency and safety throughout …

Numerical weather prediction (NWP), a method of weather forecasting using equations that
describe atmospheric flows and behavior, is used extensively to help predict weather …

Abstract The St. Lawrence River Valley experiences a variety of precipitation types (p-types)
during the cold season, such as rain, freezing rain, ice pellets, and snow. These varied …

This study employs a unique methodology for analyzing seasonal traffic crashes by first
identifying adverse winter-weather events using traditional traffic-crash data (from Nebraska) …

Flooding is among the costliest and deadliest weather disasters. Moreover, different types of
flooding have significant impacts on the transportation network and infrastructure including …

Abstract Development of an impact-based decision support forecasting tool for surface-
transportation hazards requires consideration for what impacts the product is intended to …

Abstract Winter Road Maintenance (WRM) ensures road mobility and safety by mitigating
adverse weather conditions. Yet, it is costly and environmentally impactful. Balancing these …