吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 63-69.doi: 10.13229/j.cnki.jdxbgxb201601010

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混合自行车交通流下的自行车道通行能力估计

徐程1, 2, 曲昭伟1, 陶鹏飞1   

  1. 1.吉林大学 交通学院,长春 130022;
    2.浙江警察学院 交通管理工程系,杭州 310053
  • 收稿日期:2014-10-12 出版日期:2016-01-30 发布日期:2016-01-30
  • 通讯作者: 陶鹏飞(1984-),男,博士,讲师.研究方向:交通流理论.E-mail:taopengfei@gmail.com
  • 作者简介:徐程(1985-),女,讲师,博士研究生.研究方向:交通管理,交通安全.E-mail:grazia_xu@126.com
  • 基金资助:
    国家自然科学基金项目(51278220, 51278454); 浙江省重点科技创新团队项目(2013TD09)

Estimation of bicycle path capacity under mixed bicycle traffic flow

XU Cheng1, 2, QU Zhao-wei1, TAO Peng-fei1   

  1. 1.College of Transportation, Jilin University, Changchun 130022, China;
    2.Department of Traffic Management Engineering, Zhejiang Police College, Hangzhou 310053, China
  • Received:2014-10-12 Online:2016-01-30 Published:2016-01-30

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摘要： 通过引入5种经典的机动车交通量速度-密度关系模型建立了自行车交通流速度-密度关系模型,进而将其转化为流量-密度关系模型,得到自行车道通行能力的估计值。采集杭州市3个不同宽度路段的实测数据进行模型验证与参数标定,在平均61%的电动自行车比例下,自行车道每米宽度的通行能力平均值为2400辆/小时。最后,分别分析了骑行人性别、年龄与电动自行车混行比例3个因素对通行能力的影响。结果表明,骑行人性别与年龄构成与通行能力不存在显著相关性,而电动自行车比例与通行能力存在显著的线性相关性。

关键词: 交通运输系统工程, 电动自行车, 普通自行车, 通行能力, 速度-密度关系模型

Abstract: The capacity is a key parameter in bicycle path planning, design and management. With the rapid development of electric bicycles (E-bikes) in China, the E-bikes and the bicycles share the conventional bicycle path, which leads to certain safety and efficiency issues. Five classic speed-density relationship models were introduced to build the speed-density relationship of mixed bicycle traffic flow. The bicycle path capacity was estimated using the flow-density relationship. Field data were collected from three bicycle paths in Hangzhou, China for calibration and validation. With 61% of E-bikes, the mean capacity of per meter width of the three paths is 2000 bicycles/h. Finally, the effects of riders' gender, age and E-bike proportion were analyzed. Results show that riders' gender and age have no significant influence on the path capacity, while there is significant linear correlation between E-bike proportion and bicycle path capacity.

Key words: transportation system engineering, electric bicycle, conventional bicycle, traffic capacity, speed-density relationship model

中图分类号: 

  • U491
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