吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 744-750.doi: 10.13229/j.cnki.jdxbgxb201703008

• 论文 • 上一篇    下一篇

考虑违章行人的行人过街位置分布模型

曲昭伟, 曹宁博, 陈永恒, 白乔文, 赵利英, 罗瑞琪   

  1. 吉林大学 交通学院,长春 130022
  • 出版日期:2017-05-20 发布日期:2017-05-20
  • 通讯作者: 陈永恒(1978-),男,副教授,博士.研究方向:交通控制与交通组织.E-mail:cyh@jlu.edu.cn
  • 作者简介:曲昭伟(1962-),男,教授,博士生导师.研究方向:交通流理论,交通视频处理,交通控制.E-mail:quzw@jlu.edu.cn
  • 基金资助:

    国家自然科学基金项目(51278220; 51278520)

Modeling of pedestrians' crossing position distribution considering violating pedestrians

QU Zhao-wei, CAO Ning-bo, CHEN Yong-heng, BAI Qiao-wen, ZHAO Li-ying, LUO Rui-qi   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Online:2017-05-20 Published:2017-05-20

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摘要：

利用视频处理技术对过街行人的全时空信息进行采集,分析了违章行人与转弯车辆冲突的内在规律,并提出了行人过街位置分布的建模方法。首先,利用调查数据定性分析了行人过街位置对人车冲突的影响。其次,通过对多交叉口不同时刻行人(包括违章行人)行走位置的统计分析,得到绿灯消散时间和人行横道长度对行人过街位置的影响。结合调查数据,利用Gauss函数对不同时刻的行人过街位置分布进行建模,建立绿灯消散时间和人行横道长度与Gauss函数模型参数的关系等式,拟合模型的R2分别达到0.9、0.93、0.97,表明模型能够很好地反映行人过街位置分布规律。最后,对模型进行了验证,在所建立模型的基础上,分析了行人过街位置分布规律对行人与转弯车辆冲突区域判别的作用,并提出减小冲突区域的优化方法。

关键词: 交通运输系统工程, 信号交叉口, 违章行人, 转弯车辆, 冲突区域

Abstract:

Video-processing technology was used to acquire detailed spatio-temporal data of pedestrians, and the underlying law of the conflict between violating pedestrians and turning vehicles was analyzed, then a model of pedestrians' crossing position distribution was proposed. First, on the basis of the survey data, the relationship between conflict and pedestrian crossing distribution was qualitatively analyzed. Then, based on the analysis of pedestrians' crossing positions at seven surveyed crosswalks, the impacts of crosswalk length and elapsed time on pedestrians' crossing position distribution were investigated. Further, a Gauss function was applied to model the pedestrians' crossing position distribution at different times. Finally, the formulas about elapsed time, crosswalk length and three model parameters were established. The adjusted R2 of the fitting models were 0.9, 0.93 and 0.97 respectively, which indicates that the proposed models can well represent the law of pedestrians' crossing position distribution. The proposed model was verified and the role of the model on determining the conflict zone was illustrated. An optimization method to reduce the conflict zone was put forward.

Key words: engineering of communications and transportation system, signalized intersection, violation pedestrians, turning vehicles, conflict zone

中图分类号: 

  • U491
[1] Chen P,Nakamura H,Asano M. Application of surrogate safety measures for assessment of pedestrian versus left-turning vehicle conflict at signalized crosswalks[J]. Advances in Transportation Studies,2014,1(Special):37-50.
[2] Perkins S R, Harris J L. Traffic conflict characteristics-accident potential at intersections[J]. Highway Research Record,1968(225):35-43.
[3] Allen B L,Shin B T,Cooper P J. Analysis of traffic conflicts and collisions[J]. Transportation Research Record,1978(677):67-74.
[4] Gettman D, Head L. Surrogate safety measures from traffic simulation models[J]. Transportation Research Record,2003(1840):104-115.
[5] Tang K, Nakamura H. Safety evaluation for intergreen intervals at signalized intersections based on probabilistic method[J]. Transportation Research Record,2009(2128):226-235.
[6] Kruysse H W. The subjective evaluation of traffic conflicts based on an internal concept of dangerousness[J]. Accident Analysis & Prevention,1991,23(1):53-65.
[7] Tiwari G, Mohan D, Fazio J. Conflict analysis for prediction of fatal crash locations in mixed traffic streams[J]. Accident Analysis & Prevention,1998,30(2):207-215.
[8] 陈永恒, 尉明丽, 曲昭伟, 等. 信号交叉口左转车干扰下的行人过街特性[J]. 吉林大学学报:工学版,2015,45(1):62-67.
Chen Yong-heng,Wei Ming-li,Qu Zhao-wei, et al. Pedestrian crossing characteristics under influence of left-turn vehicle[J]. Journal of Jilin University(Engineering and Technology Edition),2015,45(1):62-67.
[9] 郭宏伟,高自友,赵小梅. 基于持续模型的行人过街行为[J]. 吉林大学学报:工学版,2009,39(增刊2):35-40.
Guo Hong-wei,Gao Zi-you,Zhao Xiao-mei. Pedestrian crossing behaviours based on duration model[J]. Journal of Jilin University(Engineering and Technology Edition),2009,39(Sup.2):35-40.
[10] Sun D Z,Ukkusuri S V,Benekohal R F,et al. Modeling of motorist-pedestrian interaction at uncontrolled mid-block crosswalks[J]. Urbana,2002,51:61801.
[11] Wang X, Abdel-Aty M. Analysis of left-turn crash injury severity by conflicting pattern using partial proportional odds models[J]. Accident Analysis & Prevention,2008,40(5):1674-1682.
[12] Alhajyaseen W K M, Asano M, Nakamura H,et al. Gap acceptance models for left-turning vehicles facing pedestrians at signalized crosswalks[C]∥Proceedings of the 3rd International Conference on Road Safety and Simulation,Indiana,2011:01506156.
[13] Asano M, Alhajyaseen W K M, Suzuki K, et al. Modeling variation in the trajectory of left-turning vehicles considering intersection geometry[C]∥90th Transportation Research Board Annual Meeting,Washington,DC,2011:01336739.
[14] Wolfermann A, Alhajyaseen W K M, Nakamura H. Modeling speed profiles of turning vehicles at signalized intersections[C]∥3rd International Conference on Road Safety and Simulation,Indianapolis,2011:01506194.
[15] Alhajyaseen W K M, Asano M, Nakamura H. Estimation of left-turning vehicle maneuvers for the assessment of pedestrian safety at intersections[J]. IATSS Research,2012,36(1):66-74.
[16] Zhang X, Nakamura H, Iryo-Asano M, et al. Modeling pedestrian speed at signalized crosswalks considering crosswalk length and pedestrian signal timing[J]. Infrastructure Planning Review,2014,70(5):1031-1040.
[17] GB 5768.3-2009.道路交通标志和标线[S].
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