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DRIVER-ADAPTIVE WARNING SYSTEM.
| 题名： | DRIVER-ADAPTIVE WARNING SYSTEM. |
| 作者： | Goldman-R; Miller-C; Harp-S; Plocher-T |
| 关键词： | INTELLIGENT-TRANSPORTATION-SYSTEMS; TECHNOLOGICAL-INNOVATIONS; ALGORITHMS-; DRIVER-BEHAVIOR; COMPUTER-SIMULATION-MODELS; WARNING-SYSTEMS; ACCIDENT-PREVENTION; ADAPTIVE-SYSTEMS; FALSE-ALARMS; REDUCTION-DECREASE; MODULES- |
| 摘要： | This Innovations Deserving Exploratory Analysis (IDEA) project explored the application of learning algorithms to developing individualized models of a human driver's "style" and then using these models to tailor warnings to be more appropriate and useful for the individual. This approach is called a Driver-Adaptive Warning System (DAWS). Such tailored warnings hold promise for reducing the number of false alarms in collision warning systems and thus enhancing the acceptance and use of such systems by drivers. Work was concentrated on developing techniques to acquire and use individualized driver models appropriate to a Maneuver Intent Recognition (MIR) module and an Adaptive Maneuver Assessment (AMA) module. |
| 总页数： | ITS-IDEA Program Project Final Report. 1995/03/31. pp19 (8 Fig., Refs., 1 App.) |
| 报告类型： | 科技报告 |
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