Traffic conflict prediction at signal cycle level using Bayesian optimized machine learning approaches - Zheng L, Hu Z, Sayed T.

This study develops non-parametric models to predict traffic conflicts at signalized intersections at the signal cycle level using machine learning approaches. Three different datasets were collected, one from Surrey, Canada, and the other two from Los Ang...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news