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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Performance Degradation During Sudden Hazardous Events: A Comparative Analysis of Use of a Phone and a Music Player During Driving
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Performance Degradation During Sudden Hazardous Events: A Comparative Analysis of Use of a Phone and a Music Player During Driving

机译:突发危险事件中的性能下降:驾驶过程中使用电话和音乐播放器的比较分析

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摘要

The present study attempts to statistically model and quantify the contribution of two sets of potential factors to accident risk: 1) real-time driving behavioral characteristics and 2) distraction conditions. The effects of phone and music player usage on reaction times and accident probabilities were modeled for two events: 1) a pedestrian crossing (started in peripheral vision) and 2) sudden braking (started in central vision) in an urban scenario. In total, 90 subjects drove for baseline and conversation conditions. In all, 70 and 78 of the 90 subjects drove for texting and music player tasks, respectively. Reaction times and accident probabilities were modeled with the help of generalized linear mixed model approach. The results showed that the reaction time increased by 42, 113, and 62 due to the presence of conversation, texting, and music player operations, respectively, for the pedestrian crossing event. Whereas, the increments were lower for the sudden braking event. Drivers with higher approach speed detected the events faster. The accident probability increased due to the texting tasks and by operating the player during driving. An increase in reaction time also led to higher risk for the pedestrian crossing event. For the sudden braking event, the effect of music-listening was not significant, but the accident risk increased if the driver approached the event at high speed. Overall, the results suggest that the algorithm for designing a collision warning system should consider the real-time driving characteristics based on event type and quantify the effects of distraction based on the type of distraction.
机译:本研究试图对两组潜在因素对事故风险的影响进行统计建模和量化:1)实时驾驶行为特征和2)分心条件。针对两个事件对电话和音乐播放器使用情况对反应时间和事故概率的影响进行了建模:1)在城市场景中,人行横道(从周边视野开始)和2)突然刹车(从中央视野开始)。总共有90位受试者开车进入基线和会话条件。在90个主题中,总共有70个和78个主题分别驾驶着发短信和音乐播放器。反应时间和事故概率在广义线性混合模型方法的帮助下建模。结果表明,由于对行人过路事件的对话,发短信和音乐播放器操作,反应时间分别增加了42、113和62。而对于突然的制动事件,增量较小。具有较高进近速度的驾驶员更快地检测到了事件。由于发短信任务以及驾驶过程中操作播放器,事故概率增加。反应时间的增加也导致人行横道事件的风险增加。对于突然的制动事件,听音乐的效果并不明显,但是如果驾驶员高速接近该事件,则事故风险会增加。总体而言,结果表明,设计碰撞预警系统的算法应考虑基于事件类型的实时驾驶特性,并根据干扰的类型量化干扰的影响。

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