Conference proceeding
Prior Exposure, Warning Algorithm Parameters and Driver Response to Imminent Rear-End Collisions on a High-Sfideltiy Simulator
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.44(20), pp.316-319
2000
Abstract
Rear-end collisions account for over 25% of crashes. Because driver inattention is a contributing factor in more than 60% of these collisions, rear-end collision avoidance systems (RECAS) offer a promising approach to reduce crashes and save lives. This study uses a high-fidelity driving simulator to examine driver response to imminent rear-end collision situations and address two issues. First, the study examines how variations in algorithm parameters affect RECAS effectiveness. The results show an early warning helps drivers react more quickly and avoid more collisions, providing critical data for tradeoff studies of RECAS parameters and nuisance alarm rates. Second, the study investigates how drivers respond to a second collision scenario shortly after their first exposure. The results show drivers react more quickly to the second exposure and avoid more collisions, but that the effect of the second exposure does not interact with other experimental variables or change the fundamental response dynamics. This suggests that multiple exposures to imminent crash situations can generate useful data, forming the basis for more efficient experimental designs of simulator-based studies.
Details
- Title: Subtitle
- Prior Exposure, Warning Algorithm Parameters and Driver Response to Imminent Rear-End Collisions on a High-Sfideltiy Simulator
- Creators
- John D LeeDaniel V McGeheeTimothy L Brown
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.44(20), pp.316-319
- ISSN
- 1071-1813
- eISSN
- 2169-5067
- Publisher
- Human Factors and Ergonomics Society
- Number of pages
- 4
- Language
- English
- Date published
- 2000
- Academic Unit
- Occupational and Environmental Health; Emergency Medicine; Industrial and Systems Engineering; Center for Social Science Innovation; Injury Prevention Research Center; Public Policy Center (Archive)
- Record Identifier
- 9984186943102771
Metrics
21 Record Views