[1]李志斌,王炜,赵德,等.机非物理分隔道路上自行车超车事件模型[J].东南大学学报(自然科学版),2012,42(1):156-161.[doi:10.3969/j.issn.1001-0505.2012.01.029]
 Li Zhibin,Wang Wei,Zhao De,et al.Modeling bicycle passing events on physically separated roadways[J].Journal of Southeast University (Natural Science Edition),2012,42(1):156-161.[doi:10.3969/j.issn.1001-0505.2012.01.029]
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机非物理分隔道路上自行车超车事件模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第1期
页码:
156-161
栏目:
交通运输工程
出版日期:
2012-01-18

文章信息/Info

Title:
Modeling bicycle passing events on physically separated roadways
作者:
李志斌王炜赵德杨晨
(东南大学交通学院,南京 210096)
Author(s):
Li ZhibinWang WeiZhao DeYang Chen
(School of Transportation, Southeast University, Nanjing 210096, China)
关键词:
交通工程自行车机非物理分隔道路超车事件
Keywords:
traffic engineering bicycle physically separated roadway passing event
分类号:
U491.2
DOI:
10.3969/j.issn.1001-0505.2012.01.029
摘要:
为了解自行车交通流中自行车超车行为特征,建立了机动车-非机动车物理分隔路段上自行车超车事件解析模型.根据自行车超车事件发生时车辆空间位置特征,将自行车超车事件分为自由超车事件、邻贴超车事件及受阻超车事件,并基于自行车交通流速度离散分布特征及自行车空间分布概率,建立了3类超车事件的解析模型.根据南京市8条典型机非物理分隔道路上自行车超车事件数调查结果,对模型进行标定与验证表明,所提出的自行车超车事件数计算结果符合真实情况.分析了该模型对于自行车交通流参数的敏感性,结果表明,路段内自行车交通流量、自行车运行速度、交通流速度标准差及路段车道数显著影响3类超车事件发生数量.
Abstract:
To get the characteristics of bicycle passing maneuvers in bicycle traffic flow, models were developed to modeling the bicycle passing events on physically separated bicycle roadways. According to the attributes of spaces of bicycles during the passing, the bicycle passing events were classified into free passings, adjacent passings and delayed passings. Based on the variance of bicycle traffic speeds as well as the spacial distribution of bicycles, models were developed to quantitatively calculate the number of three passing events. The models were calibrated and validated by using observations collected at 8 typical bicycle roadways in Nanjing, and the results indicate that the model predictions in terms of the number of bicycle passing events are consistent with observations. The sensitivity analyses were conducted to explore the relationships between bicycle passing events and bicycle traffic flow parameters. The results show that bicycle traffic flow rates, bicycle speed, standard deviation of bicycle speed, and number of bicycle lanes significantly impact the number of three types of bicycle passing events.

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备注/Memo

备注/Memo:
作者简介:李志斌(1983—),男,博士生;王炜(联系人),男,博士,教授,博士生导师,wangwei@seu.edu.cn.
基金项目:国家重点自然科学基金资助项目(50738001).
引文格式: 李志斌,王炜,赵德,等.机非物理分隔道路上自行车超车事件模型[J].东南大学学报:自然科学版,2012,42(1):156-161.[doi:10.3969/j.issn.1001-0505.2012.01.029]
更新日期/Last Update: 2012-01-20