Spatial statistics and random forest approaches for traffic crash hot spot identification and prediction - Atumo EA, Fang T, Jiang X.

Crash hot spot identification and prediction using spatial statistics and random forest methods on the interstate of Michigan are evaluated. The Getis-Ord statistics are adopted to identify hot spots using location, frequency, and equivalent property damag...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news