A critical overview of driver recording tools

Area of Science:

• * Transportation Research
• * Human Factors Engineering
• * Data Science

Background:

• * Recent decades have seen significant technological advancements in tools for recording driving behavior and performance.
• * A wide array of methods are available for researchers studying driver behavior.

Purpose of the Study:

• * To present and comparatively assess various driver recording tools available to researchers.
• * To provide a critical synthesis of the advantages and disadvantages of different methodologies.

Main Methods:

• * Examination of published international literature on driver recording methodologies.
• * Review of traditional methods (surveys, police reports, observer methods).
• * Investigation of driving simulators, naturalistic driving data tools (on-board diagnostics, in-vehicle data recorders), incident analysis, and smartphone data.

Main Results:

• * Critical synthesis of advantages and disadvantages of each tool.
• * Evaluation of ease of experimental implementation, data handling, analytical impacts, and costs.
• * Identification of niches for legacy driver recording methods.

Conclusions:

• * New technologies like smartphones and in-vehicle data recorders offer powerful data handling and analysis capabilities.
• * These advanced tools may involve considerable costs, while traditional methods retain specific research applications.
• * Findings support researchers in designing driver behavior monitoring studies, aiding in research scheduling, pacing, and fund allocation.