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作 者:杨晓芳[1] 李兴宇 YANG Xiaofang;LI Xingyu(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出 处:《物流科技》2022年第15期83-88,94,共7页Logistics Sci-Tech
基 金:国家自然科学基金资助项目(51308409);上海市浦江人才计划资助项目(15PJC075)。
摘 要:实际中存在左转非常规设置的交叉口,针对其换道频繁,明显区别于常规左转设置的换道的交通现象,提出一种考虑驾驶员类型的基于元胞自动机的强制换道模型。将驾驶员类型划分为五类,针对驾驶员在越接近实线区域时换道压力越大的情况,研究不同类型的驾驶员在不同的情况下所表现出的不同行为。结果表明,在整个路段上,谨慎型驾驶员在平均车速的变化上较为稳定,判定系数R^(2)为99.2%;激进型驾驶员在停车率的变化上较为稳定,判定系数为99.6%。In practice,there are intersections with unconventional left-turn settings,and for the traffic phenomenon that their lane change is frequent and obviously different from the lane change of conventional left-turn settings,a forced lane change model based on a metric automaton considering driver types is proposed.The driver types are divided into five categories,and the different behaviors exhibited by different types of drivers in different situations are investigated for the situation that the pressure to change lanes increases the closer the driver is to the solid line area.The results show that the cautious driver is more stable in the variation of the average speed over the whole road section,with a determination coefficient R^(2) of 99.2%;the aggressive driver is more stable in the variation of the stopping rate,with a determination coefficient of 99.6%.
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