We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Effects of Intelligent Advanced Warnings on Drivers Negotiating the Dilemma Zone.
- Authors
Gugerty, Leo; McIntyre, Scott E.; Link, Drew; Zimmerman, Karl; Tolani, Devendra; Huang, Peter; Pokorny, Robert A.
- Abstract
Objective: We investigated whether intelligent advanced warnings of the end of green traffic signals help drivers negotiate the dilemma zone (DZ) at signalized intersections and sought to identify behavioral mechanisms for any warningrelated benefits. Background: Prior research suggested that warnings of end of green can increase slowing and stopping frequency given the DZ, but drivers may sometimes respond to warnings by speeding up. Method: In two simulator studies, we compared six types of roadway or in-vehicle warnings with a no-warning control condition. Using multilevel modeling, we tested mediation models of the behavioral mechanisms underlying the effects of warnings. Results: In both studies, warnings led to more stopping at DZ intersections and milder decelerations when stopping compared with no warning. Drivers’ predominant response to warnings was anticipatory slowing on approaching the intersection, not speeding up. The increased stopping with warning was mediated by increased slowing. In Study 1, anticipatory slowing given warnings generalized to green-light intersections where no warning was given. In Study 2, we found that lane-specific warnings (e.g., LED lights embedded in each lane) sometimes led to fewer unsafe emergency stops than did nonlane- specific roadside warnings. Conclusion: End-of-green warnings led to safer behavior in the DZ and on the early approach to intersections. The main mechanism for the benefits of warnings was drivers’ increased anticipatory slowing on approaching an intersection. Lane-specific warnings may have some benefits over roadside warnings. Application: Applications include performance models of how drivers use end-of-green warnings, control algorithms and warning displays for intelligent intersections, and statistical methodology in human factors research.
- Subjects
AUTOMOBILE drivers; TRAFFIC signs & signals; HIGHWAY communications; DECISION making; SIMULATION methods & models; AUTOMOBILE driving simulators; TRAFFIC safety; ROAD interchange & intersection safety measures
- Publication
Human Factors, 2014, Vol 56, Issue 6, p1021
- ISSN
0018-7208
- Publication type
Academic Journal
- DOI
10.1177/0018720814525438