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ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR-END COLLISIONS.
| 题名： | ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR-END COLLISIONS. |
| 作者： | Brown-TL; Lee-JD; McGehee-DV |
| 关键词： | Algorithms-; Alternatives-analysis; Attention-; Collision-avoidance-systems; Drivers-; Information-display-systems; Perception-; Performance-; Reaction-time; Rear-end-collisions; Vision- |
| 摘要： | Several driver-performance factors contribute to rear-end collisions--driver inattention, perception-reaction time, and limitations of the human visual system. Although many evaluations have examined driver response to various rear-end collision avoidance systems (RECAS) display and algorithm alternatives, little research has been directed at creating a quantitative model of driver performance to evaluate these alternatives. Current considerations of driver behavior in developing warning algorithms tend to ignore the fundamental problem of driver inattention and assume a fixed driver reaction time with no further adjustment after the initial response. A more refined model of driver response to rear-end crash scenarios can identify more appropriate and timely information to be displayed to the driver. An attention-based rear-end collision avoidance model (ARCAM) is introduced that describes the driver's attention distribution, information extraction and judgment process, and the reaction process. ARCAM predicts the closed-loop nature of collision response performance and explains how the driver might use RECAS warnings. |
| 总页数： | Transportation Research Record. 2000. (1724) pp14-20 (3 Fig., 29 Ref.) |
| 报告类型： | 科技报告 |
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