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基于自然驾驶数据的变道切入行为分析

本站小编 Free考研考试/2022-02-13
DOI: 10.11908/j.issn.0253-374x.2018.08.008

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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


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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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