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作 者:闫红日 陆惠丰 YAN Hongri;LU Huifeng(Shanghai Municipal Engineering Design Institute(Group)Co.,Ltd,Shanghai 200092,China)
机构地区:[1]上海市政工程设计研究总院(集团)有限公司,上海200092
出 处:《交通与运输》2022年第6期58-61,共4页Traffic & Transportation
摘 要:近年来,关于智能网联车辆(CAV)的研究成为交通领域的热点问题。由于CAV与人类驾驶的传统车辆在微观驾驶行为方面存在差异,因而当前合流区通行能力经验模型并不适用于智能网联环境。基于主线车流服从Cowan M3分布的假设推导了采用协作控制和不采用协作控制2种方法下的合流区通行能力计算公式。并结合算例分析临界合流间隙、临界跟驰时距等相关参数对通行能力的影响。研究结果表明,在交通流未饱和时,协作控制下的合流区通行能力明显高于传统合流模式。当CAV普及后,该模型可以为合流区域管控提供依据,进而达到提高合流区交通运行效率的目的。Recently,the research on Connected and Automated Vehicles(CAV)has become a hot topic in transportation.Due to the differences in microscopic driving behavior between CAVs and Human-driven Vehicles(HVs),the current empirical traffic capacity model of merging area is not suitable for CAVs.Based on the assumption that the main traffic flow follows the Cowan M3 distribution,the capacity calculation formula is established.Two control methods are discussed,which are CAV with and without cooperative merging control.The influence of relevant parameters like critical merging gap and critical headway on the traffic capacity is analyzed with an example.The results suggest that when the traffic flow is not saturated,the capacity of the merging area in cooperative control method is significantly higher than that of the traditional merging mode.When CAV become more common,the model can provide guidance for traffic flow control and improve the traffic operation efficiency of the merging area.
关 键 词:智能网联车辆 合流区 通行能力模型 控制方法 灵敏性分析
分 类 号:U491[交通运输工程—交通运输规划与管理]
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