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基于自然驾驶数据的匝道区域驾驶特征分析 被引量:4

Driving Characteristics Analysis of Ramp Area Based on Natural Driving Data
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摘要 基于中国大型实车路试实验(China FOT)项目,从679.3km的自然驾驶数据中提取出了70例匝道区域通行过程.统计表明,加速车道汇入点位置主要分布于加速车道的中间偏前部分.提出了指数型的车辆汇入模型.通过研究将分流区变道完成点设置在减速车道出现以前,最晚变道开始点分别设为距离减速车道200m、300m和400m,随后提出了自动驾驶汽车分流变道策略.最后统计了匝道区域违章行为,匝道基本路段易发生超速,偶发生超车,匝道出入口易发生连续变道,偶发生压实线变道. Based on the China Field Operational Test,70 cases of ramp area were extracted from679.3 km of natural driving data.Statistics show that the merging point is mainly located before the middle of the acceleration lane.An exponential vehicle merging model was proposed.The completion point of lane-change was set before the deceleration lane,and the latest starting points of lane-change were set to 200 m,300 m,400 m from the deceleration lane.Then,a lane-change strategy for automatic driving vehicles in the diverging area was proposed.Finally,illegal behaviors in ramp area were analyzed.Speeding and overtaking happen on the basic sections of the ramp.Continuous lane-change and crossing solid line happen in the entrance and exit of the ramp.
出处 《同济大学学报(自然科学版)》 EI CAS CSCD 北大核心 2017年第S1期6-13,共8页 Journal of Tongji University:Natural Science
基金 上海科技人才计划(16XD1421400)
关键词 自然驾驶 匝道区域 汇入模型 分流变道策略 naturalistic driving data ramp area merging model diverging strategy
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