交通与运输工程

信号控制下人行横道人群穿越时间模型的构建

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  • 吉林大学 交通学院,吉林 长春 130022
宋现敏( 1978-) ,女,博士,副教授,主要从事交通控制与交通组织方面的研究

收稿日期: 2014-12-02

  修回日期: 2015-05-09

  网络出版日期: 2015-09-06

基金资助

国家自然科学基金资助项目( 51278220,51278520) ; 吉林省科技厅重点项目( 20130206093SF)

Modeling of Pedestrian Platoon Crossing Time at a Signalized Crosswalk

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  • School of Transportation,Jilin University,Changchun 130022,Jilin,China
宋现敏( 1978-) ,女,博士,副教授,主要从事交通控制与交通组织方面的研究

Received date: 2014-12-02

  Revised date: 2015-05-09

  Online published: 2015-09-06

Supported by

Supported by the National Natural Science Foundation of China( 51278220,51278520) and Jilin Major Project of Science and Technology Agency( 20130206093SF)

摘要

为合理设置行人过街绿灯时间,保障行人安全和提高运行效率,采用数理统计方 法对人群穿越时间进行建模. 分析了信号控制下行人过街的行为特性,将人群穿越人行横 道的时间分为基本穿越时间和阻滞延误时间. 从双向行人相互干扰特性出发,研究了双向 行人相遇阶段中行人方向比率与人行横道实际容纳能力的关系,在此基础上构建了人群 穿越时间模型,并通过数据调查验证该模型的有效性. 结果表明,文中模型计算结果与实 际调查数据相比,最大相对误差和平均相对误差分别为 13. 21% 和 6. 26% ,模型精度高于 HCM 中的计算模型,可为行人信号配时设计提供参考.

本文引用格式

宋现敏 杨秋杰 曲昭伟 陶鹏飞 刘焕峰 . 信号控制下人行横道人群穿越时间模型的构建[J]. 华南理工大学学报(自然科学版), 2015 , 43(10) : 23 -28 . DOI: 10.3969/j.issn.1000-565X.2015.10.004

Abstract

In order to set the green time of pedestrian crossing reasonably,ensure the safety of pedestrians and improve their crossing efficiency,the modeling of the pedestrian platoon crossing time is performed by means of the mathematical statistics method. By analyzing pedestrians' behavior characteristics at a signalized crosswalk,the pedestrian platoon crossing time is divided into the basic crossing time and the frictional delay. Then,based on the interference characteristic of bidirectional pedestrians,the relationship between the directional split ratio and the actual capacity of the crosswalk during the encounter phase of bidirectional pedestrians is investigated. On this basis,a pedestrian platoon crossing time model is proposed,and a data survey is adopted to verify the effectiveness of this model. The results show that,in comparison with the actual survey data,the calculation results of the proposed model shows a maximum relative error of 13. 21% and an average relative error of 6. 26% ,which means that the proposed model has a higher accuracy than the model of the HCM method. Thus,the proposed model can provide guidance for the pedestrian signal timing design.
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