|Table of Contents|

[1] Lu Jian, Chen Weiwei, Fan Hongjing,. Intersection capacity based on driver’s visual characteristics [J]. Journal of Southeast University (English Edition), 2009, 25 (1): 117-122. [doi:10.3969/j.issn.1003-7985.2009.01.025]
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Intersection capacity based on driver’s visual characteristics()
基于驾驶员视觉特性的交叉口通行能力研究
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
25
Issue:
2009 1
Page:
117-122
Research Field:
Traffic and Transportation Engineering
Publishing date:
2009-03-30

Info

Title:
Intersection capacity based on driver’s visual characteristics
基于驾驶员视觉特性的交叉口通行能力研究
Author(s):
Lu Jian Chen Weiwei Fan Hongjing
Key Laboratory of Transportation Planning and Management of Jiangsu Province, Southeast University, Nanjing 210096, China
陆建 陈伟伟 范红静
东南大学江苏省交通运输规划与管理重点实验室, 南京 210096
Keywords:
intersection driver’s visual characteristics saturation-flow-rate capacity compensation factor
交叉口 驾驶员视觉特性 饱和流率 通行能力 修正系数
PACS:
U491
DOI:
10.3969/j.issn.1003-7985.2009.01.025
Abstract:
In order to reflect the influence of the drivers’ characteristic differences on intersection capacity under a mixed traffic flow, a driver correction coefficient for the intersection capacity calculation according to the driver’s visual characteristics is proposed.First, the parameters of the driver’s visual characteristics at some real roads, including gaze fixation distribution, mean fixation duration, visual angle distribution and some other parameters at intersections, are collected.Then, the relationship between the traffic flow rate at intersections and the parameters of driver eye movements are established.The analytical results indicate that when the traffic flow is unsaturated, the parameters of driver eye movements change relatively little;however, when the traffic flow is saturated, the parameters of driver eye movements change drastically.Finally, the saturation-flow-rate model is modified according to the parameters of driver eye movements; thus, a capacity model of intersections considering the driver’s visual characteristics is obtained.
为了反映混合交通环境下驾驶员驾驶特性差异对通行能力的影响, 根据驾驶员视觉特性提出交叉口通行能力计算中的驾驶员修正系数.采集真实道路环境下的驾驶员视觉特性参数, 获取驾驶员在交叉口处注视点分布、平均注视持续时间、视角变化等视觉特性参数, 建立交叉口交通流率与驾驶员眼动参数变化关系.分析结果表明, 交通流未饱和时, 驾驶员眼动参数变化比较平稳, 而当交通流率趋于饱和时, 眼动参数变化剧烈.根据驾驶员眼动参数变化规律对交叉口通行能力计算的饱和流率模型进行修正, 得到考虑驾驶员视觉特性的交叉口通行能力计算方法.

References:

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Memo

Memo:
Biography: Lu Jian(1972—), male, doctor, professor, Lujian-1972@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.50708019), Huo Yingdong Education Foundation(No.104010), Jiangsu Qing Lan Project.
Citation: Lu Jian, Chen Weiwei, Fan Hongjing.Intersection capacity based on driver’s visual characteristics[J].Journal of Southeast University(English Edition), 2009, 25(1):117-122.
Last Update: 2009-03-20