@article{ref1,
title="Effect prediction of time-gaps for adaptive cruise control (ACC) and in-vehicle tasks on bus driver performance",
journal="Safety science",
year="2012",
author="Lin, Brian Tsang-Wei and Hwang, Sheue-Ling",
volume="50",
number="1",
pages="68-75",
abstract="Researchers have devoted a great deal of attention to the effects of driver assist systems on driver performance. This article describes a modeling approach to simulate the effects of time-gaps for adaptive cruise control (ACC) and manual in-vehicle tasks on bus-driver performance. A concept model was built with the knowledge of modularization, parameterization, and parallel processing. By running the model, the predictions for the effects of five levels of time-gaps and two types of in-vehicle tasks were collected in three measures: (1) mean gap, (2) minimum gap, and (3) collision rate. The model performed well in prediction, especially when driving with in-vehicle tasks. Predictions from the model were validated by the experiment with a verified fixed-base bus-driving simulator, used in the authors' previous studies. Throughout the modeling approach, this research provides a theoretical and accurate way to assess effects of time-gaps and vehicle-equipped interfaces. In follow-up research, the authors will apply this approach to evaluate other driving assist systems (e.g. collision warning systems and navigation systems) to create a customized software kit.<p />",
language="en",
issn="0925-7535",
doi="10.1016/j.ssci.2011.07.003",
url="http://dx.doi.org/10.1016/j.ssci.2011.07.003"
}