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右转车流及对向行人影响下的行人过街延误模型 被引量:2

Delay model of pedestrian crossing under influence of right-turning traffic flow and bidirectional pedestrian
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摘要 通过分析车头时距随交通流量而变化的统计特性,提出了基于车头时距分布的自适应的行人过街冲突延误计算模型。根据低交通流量情况下车头时距服从负指数分布时的行人过街冲突延误,分别推导出中等交通流量及高交通流量情况下的行人过街冲突延误计算模型;结合无干扰条件下的相位延误和对向行人流阻滞延误得到干扰条件下的行人过街总延误计算模型;通过Vissim仿真实验对模型进行了准确性验证,其偏差小于3%。此外,将提出的行人过街延误模型与以机动车到达间距服从负指数分布为假设前提的行人过街延误模型进行误差比较,结果表明所提出的延误模型误差更小。 By analyzing the statistical properties of the headway varying with the traffic flow, this paper proposed an adaptive model for calculating the delay of pedestrian crossing based on the headway distribution. First of all, according to the pedestrian crossing delay under the low traffic flow circumstance in which the headway obeys negative exponential distribution, this paper derived the models for calculating the pedestrian crossing delay under middle traffic flow circumstance and the high traffic flow circumstance. Secondly, this paper obtained the total delay calculation model of pedestrian crossing by combining signal phase delay under the condition without interference and bidirectional pedestrian friction delay. Finally, the accuracy of the model was verified through the Vissim simulation experiment, and the deviation was less than 3%. In addition, this paper also compared the deviation between the pedestrian crossing delay model proposed in this paper and the model on the premise that the headway obeys negative exponential distribution , the results show that the deviation of the delay model proposed in this paper is smaller.
作者 陶薇同 崔荣一 金璟璇 Tao Weitong;Cui Rongyi;Jin Jingxuan(Intelligent Information Processing Lab,Dept. of Computer Science & Technology,Yanbian University,Yanji Jilin 133002,China)
出处 《计算机应用研究》 CSCD 北大核心 2019年第9期2661-2664,共4页 Application Research of Computers
基金 吉林省科技发展计划资助项目(20140101186JC)
关键词 信号控制 行人过街延误 交通流量 车头时距 负指数分布 signal control delay of pedestrian crossing traffic flow headway negative exponential distribution
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