Spatial statistics and random forest approaches for traffic crash hot spot identification and prediction

Atumo, EA; Fang, T; Jiang, XG

Jiang, XG (通讯作者)，Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu, Peoples R China.;Jiang, XG (通讯作者)，Natl Engn Lab Integrated Transportat Big Data App, Chengdu, Peoples R China.;Jiang, XG (通讯作者)，Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tra, Chengdu, Peoples R China.;Jiang, XG (通讯作者)，Fujian Univ Technol, Sch Transportat, Fuzhou, Peoples R China.

INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION, 2022; 29 (2): 207

Abstract

Crash hot spot identification and prediction using spatial statistics and random forest methods on the interstate of Michigan are evaluated. The Getis......

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