ensemble learning

Identifying risky locations for road accidents due to crosswind

Crosswind is a potential source of road accidents, especially for unloaded trucks. We joined forces with colleagues from the ILT and RWS datalabs to assess how feasible it is to build predictive models capable of identifying risky locations for truck accidents. In this way, it is possible to proactively plan traffic inspections that might reduce the probability of accidents. Data analysis We combined a given set of locations of truck accidents with road characteristics, traffic intensity, and weather variables.