交通冲突严重度模糊评价方法

交通运输系统工程与信息 ›› 2008, Vol. 8 ›› Issue (2): 91-95 .

交通冲突严重度模糊评价方法

李杰;陈学武^*;王炜

东南大学交通规划和管理江苏省重点实验室,南京 210096

收稿日期:2007-10-28 修回日期:2007-12-03 出版日期:2008-04-25 发布日期:2008-04-25
通讯作者: 陈学武
作者简介:李杰（1984-），男，江苏省南京人，博士生.
基金资助:
新世纪优秀人才支持计划项目（NCET-06-0463）.

Fuzzy Evaluation Method for the Severity of Traffic Conflicts

LI Jie;CHEN Xue-wu;WANG Wei

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

Received:2007-10-28 Revised:2007-12-03 Online:2008-04-25 Published:2008-04-25
Contact: CHEN Xue-wu

摘要/Abstract

摘要： 交通冲突技术是一项近似事故的安全评价方法，具有许多事故评价不可比拟的优点。冲突严重度判别是交通冲突技术中非常重要的一个环节，一般采取距碰撞时间（tTTC）作为指标。但是由于传统的冲突技术最初是在人工观测的背景下开发出来的，因此冲突严重度的判别相对依赖人工经验，不够精确，因此不利于实现自动冲突检测。本文试图将模糊控制思想引入交通冲突严重度判别来解决这些问题，并相应地提出两种实用的方法及讨论了如何将其用于实时动态自动监测交通安全。

关键词: 交通冲突, 模糊控制, 自动检测, 冲突严重度

Abstract: The traffic conflict technique (TCT) is a near-accident evaluation of road safety. Compared to the accident statistics，this promising method for assessing the level of the safety has some unique advantages. The estimation of severity of conflicts is an important building block of TCT with Time-to-collision (tTTC) as an indicator. Unfortunately, because this technique is developed based on human-being observation, there have been some problems on determining the severity of the traffic conflicts, such as dependence on human experience and the inaccuracy of the result which is not convenient for automatic monitoring. This paper attempts to introduce the fuzzy logical control method to overcome these problems and to apply it to real-time road safety monitoring by proposing two practical methods.

Key words: traffic conflicts;fuzzy control, automatically detect, severity of conflicts

中图分类号:

U491.31

李杰,陈学武,王炜. 交通冲突严重度模糊评价方法[J]. 交通运输系统工程与信息, 2008, 8(2): 91-95 .

LI Jie,CHEN Xue-wu,WANG Wei. Fuzzy Evaluation Method for the Severity of Traffic Conflicts[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(2): 91-95 .

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract17647.shtml

http://www.tseit.org.cn/CN/Y2008/V8/I2/91

参考文献

[1] HYDEN C. The Development of a Method for Traffic Safety Evaluation: the Swedish Traffic Conflict Technique [M]. Lund: Lund University of Technology, 1987:22~25.

[2] MAlKHAMAH S.. Miles, Tight. The development of an automatic method of safety monitoring at Pelican crossings [J]. Accident Analysis and Prevention, 2005, 37:938~946.

[3] BALASHA D., HAKKERT A S., LIYNEH M., A quantitative definition of the near-accident concept[C]//. Proceedings of the Second International Traffic Conflicts Technique Workshop: 22–42.

[4] TENLINK E., VAN H. Car driver behavior at open level railway crossings protected with flashing warning lights[C]//.Proceeding of road user behavior, Soesterberg, 1990:281~284.

[5] CHIN H, QUEK S. Measurement of traffic conflict [J], Safety Science, 1997, 26.( 3):169-185.

[6] 张苏. 中国交通冲突技术的研究[D],成都:西南交通大学,1996:18~21.[ ZHANG Su. Study of Chinese traffic conflict technique [D].Chengdu: Southwest Jiaotong University, 1996:18~21.]

[7] 罗石贵, 周伟.路段交通冲突技术研究[J]. 公路交通科技,2001,18(1):200~205.[LUO Shi-gui, ZHOU Wei. Research on road traffic conflict technique [J]. Journal of Highway and Transportation Research and Development,2003,18(1):200~205.]

[8] 付锐,魏朗等.郑州黄河公路大桥交通安全冲突技术的研究[J].中国公路学报,2000,13(3):86-88.[ FU Rui,WEI Lang et al. A study of TCT of the Zhengzhou Yellow River Highway Bridge[J].China Journal of Highway and transport,2002,13(3):86-88.

[9] 袁春华，史峰.利用冲突点的车流特点确定信号控制周期[J].华东交通大学学报,2002,19(4): 14-16.[ YUN Chun-hua,SHI Feng. Using traffic stream characteristics of conflict point to determine signal time of signalized intersection [J]. Journal of East China Jiaotong University, 2002, 19(4): 14-16.

[10] MUHLRAD, N. The french traffic conflict technique [J].Proceedings of Third International Workshop on Traffic Conflicts Techniques, The Netherlands, 1992:62-69.

[11] MICHIEL M, BOVY P. Extended time-to-collision measures for traffic safety assessment [J] Accident Analysis and prevention, 2001, 33:89-97.

[12] VAN H,.A time-based analysis of road user behavior in normal and critical encounters [D]. The Netherlands, Delft University of Technology, 1990:98-102.

[13] 胡淑丽.模糊数学及其应用[M].成都:四川大学出版社,1994:100-102.[ HU Shu-li. Fuzzy Mathematics and Its Application.[M].Chendu: Press of Sichuan University,1994:100-102]

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