In-vehicle glance duration : distributions, tails, and model of crash risk.

Author(s)
Horrey, W.J. & Wickens, C.D.
Year
Abstract

In general, the unsafe conditions that are likely to produce a motor vehicle crash reside not at the mean of a given distribution (in other words, under typical conditions), but rather in the tails of the distribution. For example, an unusually slow response to a traffic obstacle, rather than an average response, may result in a collision. Although that situation means that crashes are the exception and not the norm, it has implications for how safety-critical data are approached and handled. In this current paper, experimental data collected in a driving simulator are used to demonstrate how an analysis of the average glance durations to an in-vehicle display might lead to different conclusions about safety compared with an alternative analysis of the tail end of the distribution. In addition, a model of crash risk based on the distribution of in-vehicle glances is described, as well as several characteristics of the traffic environment. (Author/publisher)

Request publication

6 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
20190485 ST [electronic version only]
Source

In: Human performance, user information, simulation, and visualization, Transportation Research Record TRR No. 2018, 2007, p. 22-28, 32 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.