Rule-based classifier based on accident frequency and three-stage dimensionality reduction for exploring the factors of road accident injuries.

ABSTRACT: Road accidents are one of the primary causes of death worldwide; hence, they constitute an important research field. Taiwan is a small country with a high-density population. It particularly has a considerable number of locomotives. Furthermore, Taiwan's traffic accident fatality rate increased by 23.84% in 2019 compared with 2018, primarily because of human factors. Road safety has long been a challenging problem in Taiwanese cities. This study collected public data pertaining to traffic accidents from the Taoyuan city government in Taiwan and generated six datasets based on the various accident frequencies at the same location. To find key attributes, this study proposes a three-stage dimension reduction to filter attributes, which includes removing multicollinear attributes, the integra

SUBMITTER: Cheng CH 

PROVIDER: S-EPMC9394815 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature