Welcome to the National Transport Library Catalogue

Normal view MARC view

Detection of Road Hazards by Novice Teen and Experienced Adult Drivers Lee, Suzanne E ; Klauer, Sheila G ; Olsen, Erik C B ; Simons-Morton, Bruce G ; Dingus, Thomas A ; Ramsey, David J ; Ouimet, Marie Claude

By: Contributor(s): Series: ; 2078Publication details: Transportation Research Record: Journal of the Transportation Research Board, 2008Description: s. 26-32ISBN:
  • 9780309125901
Subject(s): Bibl.nr: VTI P8167:2078Location: Abstract: Previous laboratory and simulator research has indicated that hazard detection skills and abilities are less developed among novice drivers compared with experienced adult drivers. Novices tend to miss some relevant cues and may be less able to process important elements in the environment while driving. It was hypothesized that novices would have lower hazard detection skills and would react less appropriately to hazards than older and more experienced drivers. Three hazard perception scenarios were simulated on a test track, and data were collected on newly licensed teen drivers (within 2 weeks of licensure) and a comparison group of adults. The scenarios included a hidden stop sign, hidden pedestrian, and hidden pedestrian with lane closure (this last included a text-messaging task). Discrete quantitative performance metrics were evaluated for this analysis, including the following: (a) Did the participant glance at the potential hazard (e.g., stop sign, pedestrian)? (b) Did the participant stop (for the stop sign scenario)? (c) Did the participant show signs of indecision, caution, or awareness (for all hazards)? Significant differences between teen drivers and more experienced adult drivers were found in a combined hazard detection analysis. Results indicated that the adult drivers observed hazards and demonstrated overt recognition of hazards more frequently than the teen drivers did. Results indicated that a large portion of teen drivers failed to disengage from peripheral task engagement in the presence of hazards. The results will be compared with naturalistic data for the same set of drivers to see whether these test track results are predictive of real-world behavior.
Item type: Reports, conferences, monographs
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Statens väg- och transportforskningsinstitut Available

Previous laboratory and simulator research has indicated that hazard detection skills and abilities are less developed among novice drivers compared with experienced adult drivers. Novices tend to miss some relevant cues and may be less able to process important elements in the environment while driving. It was hypothesized that novices would have lower hazard detection skills and would react less appropriately to hazards than older and more experienced drivers. Three hazard perception scenarios were simulated on a test track, and data were collected on newly licensed teen drivers (within 2 weeks of licensure) and a comparison group of adults. The scenarios included a hidden stop sign, hidden pedestrian, and hidden pedestrian with lane closure (this last included a text-messaging task). Discrete quantitative performance metrics were evaluated for this analysis, including the following: (a) Did the participant glance at the potential hazard (e.g., stop sign, pedestrian)? (b) Did the participant stop (for the stop sign scenario)? (c) Did the participant show signs of indecision, caution, or awareness (for all hazards)? Significant differences between teen drivers and more experienced adult drivers were found in a combined hazard detection analysis. Results indicated that the adult drivers observed hazards and demonstrated overt recognition of hazards more frequently than the teen drivers did. Results indicated that a large portion of teen drivers failed to disengage from peripheral task engagement in the presence of hazards. The results will be compared with naturalistic data for the same set of drivers to see whether these test track results are predictive of real-world behavior.