Literature DB >> 32199564

A critical overview of driver recording tools.

Apostolos Ziakopoulos1, Dimitrios Tselentis2, Armira Kontaxi3, George Yannis3.   

Abstract

INTRODUCTION: Technological advancements during recent decades have led to the development of a wide array of tools and methods in order to record driving behavior and measure various aspects of driving performance. The aim of the present study is to present and comparatively assess the various driver recording tools that researchers have at their disposal.
METHOD: In order to achieve this aim, a multitude of published studies from the international literature have been examined based on the driver recording methodologies that have been implemented. An examination of more traditional survey methods (questionnaires, police reports, and direct observer methods) is initially conducted, followed by investigating issues pertinent to the use of driving simulators. Afterwards, an extensive section is provided for naturalistic driving data tools, including the utilization of on-board diagnostics (OBD) and in-vehicle data recorders (IVDRs). Lastly, in-depth incident analysis and the exploitation of smartphone data are discussed.
RESULTS: A critical synthesis of the results is conducted, providing the advantages and disadvantages of utilizing each tool and including additional knowledge regarding ease of experimental implementation, data handling issues, impacts on subsequent analyses, as well as the respective cost parameters.
CONCLUSIONS: New technologies provide undeniably powerful tools that allow for seamless data handling, storage, and analysis, such as smartphones and in-vehicle data recorders. However, this sometimes comes at considerable costs (which may or may not pay off at a later stage), while legacy driver recording methods still have their own niches to fill in research. Practical Applications: The present research supports researchers when designing driver behavior monitoring studies. The present work enables better scheduling and pacing of research activities, but can also provide insights for the distribution of research funds.
Copyright © 2020 National Safety Council and Elsevier Ltd. All rights reserved.

Keywords:  Driver behavior; Driver recording tools; Naturalistic driving; Smartphone data; Tool comparison

Year:  2020        PMID: 32199564     DOI: 10.1016/j.jsr.2019.12.021

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  6 in total

1.  Driver Behavior Profiling and Recognition Using Deep-Learning Methods: In Accordance with Traffic Regulations and Experts Guidelines.

Authors:  Ward Ahmed Al-Hussein; Lip Yee Por; Miss Laiha Mat Kiah; Bilal Bahaa Zaidan
Journal:  Int J Environ Res Public Health       Date:  2022-01-27       Impact factor: 3.390

2.  Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study.

Authors:  Ward Ahmed Al-Hussein; Miss Laiha Mat Kiah; Lip Yee Por; Bilal Bahaa Zaidan
Journal:  Int J Environ Res Public Health       Date:  2021-11-09       Impact factor: 3.390

Review 3.  Improving Our Understanding of Driving Changes in Preclinical and Early Symptomatic Alzheimer's Disease: The Role of Naturalistic Driving Studies.

Authors:  Catherine M Roe
Journal:  J Alzheimers Dis Rep       Date:  2022-08-11

4.  Estimating the Necessary Amount of Driving Data for Assessing Driving Behavior.

Authors:  Anna-Maria Stavrakaki; Dimitrios I Tselentis; Emmanouil Barmpounakis; Eleni I Vlahogianni; George Yannis
Journal:  Sensors (Basel)       Date:  2020-05-02       Impact factor: 3.576

5.  Sensor-Based Extraction Approaches of In-Vehicle Information for Driver Behavior Analysis.

Authors:  Beomjun Kim; Yunju Baek
Journal:  Sensors (Basel)       Date:  2020-09-11       Impact factor: 3.576

6.  Mobile applications for road traffic health and safety in the mirror of the Haddon's matrix.

Authors:  Hossein Aghayari; Leila R Kalankesh; Homayoun Sadeghi-Bazargani; Mohammad-Reza Feizi-Derakhshi
Journal:  BMC Med Inform Decis Mak       Date:  2021-08-02       Impact factor: 2.796

  6 in total

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