Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

01/17/2022
by   Xiaoqiang Kong, et al.
7

This study aims to explore the associations between near-crash events and road geometry and trip features by investigating a naturalistic driving dataset and a corresponding roadway inventory dataset using an association rule mining method.

READ FULL TEXT
research
04/10/2021

Discovering Categorical Main and Interaction Effects Based on Association Rule Mining

With the growing size of data sets, feature selection becomes increasing...
research
02/07/2022

Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules

Driving on roads is restricted by various traffic rules, aiming to ensur...
research
03/03/2018

Imprecise temporal associations and decision support systems

The quick and pervasive infiltration of decision support systems, artifi...
research
02/24/2023

A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas

Association rule mining is intended for searching for the relationships ...
research
01/12/2023

DriCon: On-device Just-in-Time Context Characterization for Unexpected Driving Events

Driving is a complex task carried out under the influence of diverse spa...
research
07/09/2021

Redescription Model Mining

This paper introduces Redescription Model Mining, a novel approach to id...

Please sign up or login with your details

Forgot password? Click here to reset