Latest revision as of 20:25, 1 February 2021

Abstract

Lane-change crashes are not only responsible for an important portion of vehicular fatalities, but also for crash-caused traffic delays, often resulting in congestion. The type of discretionary lane change was the focus of this research, in which a safety gap prediction model was constructed for potential application in the development of lane-change support systems. Data for analysis and model fitting were collected from a fixed-based bus driving simulator. The experimental scene designed for the driving simulator consisted of a straight section of two-lane freeway mainline with daylight and vehicular flows traveling at different speed levels on the road. Ten professional coach drivers were recruited to perform lane-change experiments. Results of two-way ANOVA revealed a significant lane-change direction × vehicle speed on the target lane interaction, and further analyses demonstrated that there was a simple effect for vehicle speed on the target lane in the left-to-right group of the type of lane-change direction factor. A safety gap forecasting model with the time gap between lead and lag vehicle on the target lane as the forecasted variable was constructed, and tests of true out-of-sample forecast accuracy of the prediction model showed promising results for its potential application in the development of lane-change support systems.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.17077/drivingassessment.1270

• https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1270&context=drivingassessment

• http://ir.uiowa.edu/cgi/viewcontent.cgi?article=1270&context=drivingassessment,

https://ir.uiowa.edu/drivingassessment/2007/papers/66,

https://trid.trb.org/view.aspx?id=814711,

https://core.ac.uk/display/129643295,

https://academic.microsoft.com/#/detail/658433242