Driver Distraction and Inattention by Michael A. Regan & John D. Lee & Trent W. Victor

Author:Michael A. Regan & John D. Lee & Trent W. Victor
Language: eng
Format: epub
Publisher: Ashgate Publishing Limited
Published: 2013-04-19T04:00:00+00:00

The Lane Change Test

The Lane Change Test (LCT) is a PC-based driving simulation tool that is designed to quantitatively measure the level of degradation in driving performance induced by the simultaneous performance of a secondary task (e.g., operating an in-vehicle system). The method was developed as part of the German Advanced Driver Attention Metrics (ADAM) project and has been developed into an ISO standard (ISO 2010). The test can be implemented with simple desktop simulations, in more advanced driving simulators, in a mock-up or in an instrumented vehicle.

The LCT has been widely used to assess driving performance with concurrent use of a range of in-vehicle information systems (IVIS), as well as Advanced Driver Assistance Systems (ADAS) (e.g., Burns et al. 2005, Mäntylä et al. 2009). A number of studies have focused on validating the LCT for this purpose. Many of the early validation tests were carried out as part of the ADAM project and suggest that the LCT has good construct and criterion validity and is a reliable and sensitive measure of in-vehicle system demand (see Mattes and Hallén 2008 for a review).

A study by Burns and colleagues built on the results of the tests conducted in the ADAM project, by examining the LCT’s ability to discriminate between secondary tasks with different workload levels (Burns et al. 2005). The PC-based LCT was used to assess the driving performance of 21 drivers while they performed navigation tasks with high and low workload levels. The results revealed that the LCT was a sensitive measure of driver distraction, with drivers showing a greater deviation in the expected lane change path when performing secondary tasks than when not. The drivers also demonstrated greater deviations in the expected lane change path when performing the more complex navigation tasks. More recently, Wilschut et al. (2008) showed that driving performance on the LCT was affected by the complexity of a visual secondary task. Participants were unable to maintain their baseline driving performance when the secondary task had to be performed. Moreover, they showed further dual-task decrements with increasing secondary task visual search complexity.

More recently, work has continued on the LCT to expand its diagnostic power by proposing new performance metrics in addition to the original mean lane deviation score (Bruyas et al. 2008, Engström and Markkula 2007, Harbluk et al. 2009, Mattes and Hallén 2008). These metrics include path control (standard deviation of lane position), sign detection/recognition (Percent correct lane; PCL) (Engström and Markkula 2007), mean deviation adapted, correct lane change ratio and lane change initiation (Bruyas et al. 2008).

While the preliminary studies indicate that the LCT is a valid and sensitive measure of driver distraction, this test requires further validation and refinement, particularly under different set-up conditions (e.g., in a simulator or real vehicle).

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.