基于自然驾驶数据的变道切入行为分析
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作者单位:

同济大学 道路与交通工程教育部重点实验室,同济大学 道路与交通工程教育部重点实验室

中图分类号:

U491

基金项目:

国家自然科学基金项目(51522810)


Cutin Behavior Analyses Based on Naturalistic Driving Data
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    摘要:

    基于上海自然驾驶数据,建立变道切入行为自动化提取标准,得到4 734个行为片段.从变道切入准备、实施过程以及对后随车的影响等方面解析变道切入行为特征.结果表明,规避原车道前方慢车是车辆采取变道切入行为最主要的原因;中国驾驶员的变道切入持续时间与转向灯使用比例均小于美国,表现出较为激进的驾驶风格;近15%的后随车驾驶员在前车变道切入时速度增幅超过10%,表现出明显的不礼让或不容忍.相比于高速公路和快速路,地面道路的变道切入行为对后随车的影响更大,危险程度也更高.

    Abstract:

    Based on the realistic driving behavior data collected by Shanghai Naturalistic Driving Study, an automatic extraction algorithm was developed and 4 734 cutin events were identified. This study aims to make indepth analyses on the characteristics of cutin preparation, execution and its impacts on the following vehicle. The results show that cutins are mostly motivated by avoiding slow preceding vehicles in the original lane. Cutin duration and turn signal usage of the Chinese drivers are both less than those of the United States, which shows a more aggressive driving style. About 15% of the followers accelerate with a speed change rate of more than 10% in response to cutin behavior for their discourtesy or intolerance. Compared to freeways and expressways, the cutin behavior on surface roads has a greater impact on the following vehicles and it is more dangerous with higher risks.

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王雪松,杨敏明.基于自然驾驶数据的变道切入行为分析[J].同济大学学报(自然科学版),2018,46(08):1057~1063

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  • 收稿日期:2017-11-20
  • 最后修改日期:2018-05-21
  • 录用日期:2018-04-18
  • 在线发布日期: 2018-09-05
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