Road safety is a key element of urban mobility, closely linked to life preservation, risk reduction, and transport system efficiency. This study aims to evaluate the effectiveness of speed cameras on urban segments with high accident rates per kilometer in Rio de Janeiro, focusing on the correlation between camera placement and crash incidence. The Bootstrap method, a non-parametric resampling technique, was used to estimate variability without assuming specific distributions. This approach was implemented using Python, allowing the generation of multiple simulated samples. Although no statistically significant correlation was found between radar proximity and variation in mean accident intervals, a decrease in incident frequency was observed within 150 meters of the devices, suggesting a potential localized effect of speed cameras on road crashes dynamics.
Farias et al. (Fri,) studied this question.