[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()

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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

Author(s):

Lu Jian;  Chen Weiwei;  Fan Hongjing

Key Laboratory of Transportation Planning and Management of Jiangsu Province, Southeast University, Nanjing 210096, China

Keywords:

intersection;  driver’s visual characteristics;  saturation-flow-rate;  capacity;  compensation factor

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.

References:

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[3] Jia Junping.Statistics[M].Beijing:Tsinghua University Press, 2004.(in Chinese)
[4] Yuan Jingjin, Yuan Zhenzhou.Comparison analysis of calculation methods for traffic capacity at signal junction [J].Technology of Highway and Transport, 2006(5):123-132.(in Chinese)
[5] Brackstone Mark, Watweson Ben.Are we looking where we are going? An exploratory examination of eye movement in high speed driving [C]//Transportation Research Board.Washington, DC, 2004:2602-2626.
[6] Victor Trent W, Harbluk Joanne L, Engstrom Johan A.Sensitivity of eye-movement measures to in-vehicle task difficulty [J].Transportation Research, Part F, 2005, 8(2):167-190.
[7] Jia Hongfei, Juan Zhicai, Wei Liying.Calibration to the revision coefficients of some factors affecting saturation flow rate [J].Journal of Jilin University of Technology:Natural Science Edition, 2000, 30(2):99-102.(in Chinese)
[8] Xiang Qiaojun, Wang Wei, Chang Yulin, et al.Appraisal on the capacity of intersections under major/minor condition[J].Journal of Southeast University:Natural Science Edition, 2000, 30(3):92-95.(in Chinese)

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.

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