Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China.

ABSTRACT: Roadway multi-fatality crashes have always been a vital issue for traffic safety. This study aims to explore the contributory factors and interdependent characteristics of multi-fatality crashes using a novel framework combining association rules mining and rules graph structures. A case study is conducted using data from 1068 severe fatal crashes in China from 2015 to 2020, and 1452 interesting rules are generated using an association rule mining approach. Several modular rules graph structures are constructed based on graph theory to reflect the interactions and patterns between different variables. The results indicate that multi-fatality crashes are highly associated with improper operations, passenger overload, fewer lanes, mountainous terrain, and run-off-the-road crashes, representi

SUBMITTER: Gu C 

PROVIDER: S-EPMC9612542 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature