Factors contributing on mobile phone use while driving: In-depth accident analysis

Abstract

The consequences of using and manipulating with a mobile phone while driving has a large negative effect on attention. Driver inattention is the major problem in road safety and generally belongs to the main causes of traffic accidents with a higher representation of rear impact and has been considered as a societal safety issue. Nowadays, distraction during driving has been very often connected with using a mobile phone. The aim of this study has been the analysis of using a mobile phone by accident participants during normal driving. For the purpose of this study, unique data about accident participants collected by Czech In-depth accident study has been used. The results have shown an increasing tendency of mobile phone use with an increase in annual mileage. There is also a greater risk of mobile phone use while driving among young drivers for up to 24 years. The analysis has also shown, that the drivers, who were assessed during the interview as a risky or aggressive, report more often handling of a mobile phone while driving, which contains all activities where is mobile phone actively used, without involving fine motor skills.

Visualizing crash data patterns

“…Of course, this selection of variables is to a certain degree subjective, or, to put it more neutral, problemspecific. The method to compute this correlation draws on contingency tables and their related Pearson residuals (see Agresti (2007) or Kateřina et al (2019)). To compare different correlations they need to be normalized which is done by using Cramér's V (Cramer (1946)).…”

“…There are well-known approaches for this that range from simple tables (e.g. reports as the ones published by statistical authorities) and contingency tables (see Tunaru (1999) or Kateřina et al (2019)), to sophisticated models for crash likelihood (Mannering (2018)) that try to summarize these data into models whose parameters are estimated from the data.…”

Effect of Human Response on the Effectiveness of Advanced Vehicle Control Systems (HRAVCS)

“…This work aims to support more optimized driver-vehicle interactive designs through HMI by considering human and processing variables. This will correlate the human factor to sensors, electronics, and processing technologies used in the HMI, thus contributing towards safer and more comfortable driving [32], [33].…”