Using Drivers' Stop/Go Decisions In Driving Simulator To Assess Rear-End Crash Risk At Signalized Intersections


Dilemma zone; Driving simulators; Rear-end crashes; Signal change; Signalized intersections; Stop/go decision


Advanced driving simulators have a potential to be utilized to assess crash risks of driving behaviors, traffic surroundings, and highway designs. This study focused on investigating if drivers' stop/go decisions due to signal change in the simulator's virtual reality can be used to assess rear-end crash risk at the signalized intersection. A signalized intersection with as many important features (including roadway geometries, traffic control devices, intersection surroundings, and buildings) was replicated into a high-fidelity driving simulator. Using the virtual signalized intersection, a driving simulator experiment was conducted to test driver's stop/go decisions at two approaches of the intersection that respectively showed higher and lower rear-end crash risks in the crash history analysis. The experiment results showed that the variability in drivers' stop/go decisions at the higher crash-risk location is higher than that at the lower crash-risk location. Further, through modeling rear-end conflicts based on driver's stop/go probability as a function of potential time to intersection, it was found that the rear-end crash tendency at the two locations displayed by the driver's stop/go behavior in driving simulator is consistent with the finding from the trend in crash history analysis. This research supported that driver's stop/go behavior in a driving simulator can be utilized to assess rear-end crash risk at signalized intersections to seek effective engineering countermeasures to lower crash rates for the high-risk locations. © 2009 Taylor & Francis Group, LLC.

Publication Date


Publication Title

Journal of Transportation Safety and Security





Number of Pages


Document Type


Personal Identifier


DOI Link


Socpus ID

84989303267 (Scopus)

Source API URL


This document is currently not available here.