| 引用本文: | 马艳丽,曹阳,史惠敏.考虑驾驶任务需求的车内次任务分神干预策略[J].哈尔滨工业大学学报,2016,48(9):20.DOI:10.11918/j.issn.0367-6234.2016.09.004 |
| MA Yanli,CAO Yang,SHI Huimin.Distraction intervention strategies of in-vehicle secondary tasks according to the driving task demand[J].Journal of Harbin Institute of Technology,2016,48(9):20.DOI:10.11918/j.issn.0367-6234.2016.09.004 |
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| 摘要: |
| 为使分配给驾驶任务的注意水平与其任务需求相匹配，从而满足安全驾驶要求，探究车内次任务分神干预策略. 基于车辆和驾驶环境数据及前方道路场景视频资料，构建基于实时道路交通数据的驾驶任务需求预测模型，采用驾驶任务需求评估法，验证所建预测模型的有效性，给出不同驾驶任务需求下的次任务分神预防策略. 结果表明：驾驶任务需求评估与预测等级一致性达到83%，没有出现预测需求高，评估需求低的情况. 当驾驶任务需求较高时，除收音机及CD播放外，其他车载信息任务分神均应予以警告或禁止，次任务分神可以通过制定预防策略避免，研究结果可为驾驶分神预警管理提供方案及技术支持.
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| 关键词: 驾驶任务 车内次任务 驾驶分神 需求预测 干预策略 |
| DOI：10.11918/j.issn.0367-6234.2016.09.004 |
| 分类号:U491 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51108136) |
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| Distraction intervention strategies of in-vehicle secondary tasks according to the driving task demand |
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MA Yanli, CAO Yang, SHI Huimin
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(School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)
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| Abstract: |
| The attention assigned to the driving task must be matched with its demand of safe driving, in order to explore the distraction intervention strategies of in-vehicle secondary tasks. An experimental vehicle was driven in naturalistic driving conditions to acquire real-time traffic data and videos of the road ahead. A prediction model was established to predict the driving task demand based on those real-time data. Participants assessed the driving task demand directly from short videos, verified the effectiveness of the prediction model, distraction intervention strategies under different driving task demand were proposed. The results showed that the consistency of driving task evaluation and prediction assessment is about 83%, there is no big difference, such as high forecasting demand and low evaluation requirements. Distraction intervention strategies based on real-time prediction of driving task demand can provide methods and technical support for the driver’s distraction management.
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| Key words: driving task in-vehicle secondary tasks driver distraction demand forecasting intervention strategies. |
