考虑系统聚类的公路交通事故多发点鉴别研究

doi:10.16265/j.cnki.issn1003-3033.2018.11.017

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (11): 104-109.doi: 10.16265/j.cnki.issn1003-3033.2018.11.017

考虑系统聚类的公路交通事故多发点鉴别研究

牛志鹏¹, 祁首铭^**1, 吴东玲², 刘文佳¹, 廉冠¹

1 哈尔滨工业大学交通科学与工程学院,黑龙江哈尔滨 150090
2 黑龙江工程学院土木与建筑工程学院,黑龙江哈尔滨 150050

收稿日期:2018-08-15 修回日期:2018-10-15 发布日期:2020-11-25
通讯作者: ** 祁首铭(1991—),男,黑龙江佳木斯人,博士研究生,研究方向为道路交通安全、驾驶人行为特性分析、人机交互、无人驾驶环境识别等。E-mail: shouming1991@163.com。
作者简介:牛志鹏 (1990—),男,黑龙江哈尔滨人,博士研究生,研究方向为道路交通安全、共享停车位等。E-mail:Niuzhipeng_HIT@163.com。
基金资助:
国家重点研发计划重点专项项目(2017YFC0803901)。

Research on identification of black spots for highway based on system clustering method

NIU Zhipeng¹, QI Shouming¹, WU Dongling², LIU Wenjia¹, LIAN Guan¹

1 School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150090, China
2 School of Civil and Architecture, Heilongjiang Institute of Technology, Harbin Heilongjiang 150050, China

Received:2018-08-15 Revised:2018-10-15 Published:2020-11-25

摘要/Abstract

摘要： 为改善高原地区公路交通环境,提高公路事故多发点鉴别的准确性,结合云南省2010—2015年道路交通事故数据统计资料,采用统计分析方法分析高原地区公路交通事故形态及时空分布特征;以百万车公里事故率和当量事故次数为指标,运用系统聚类法鉴别高原地区公路交通事故;并以昆石高速公路为实例进行分析,鉴别出11个事故多发点段,且与实际情况基本相符。结果表明:在时间分布上,高原地区公路交通事故多发在冬春季,一天中下午及傍晚时分事故率较高;在空间分布上,高原地区县乡道路事故较为高发;从事故形态看,发生正面碰撞、刮撞行人的事故数量约占事故总数的57%,为高原地区的主要事故主要形态。

关键词: 交通工程, 高原地区, 公路交通, 系统聚类法, 事故多发点, 鉴别

Abstract: In order to improve the road traffic environment in the plateau area,and increase the identification accuracy of black spots, based on statistical data on road traffic accidents in Yunnan province from 2010 to 2015, the statistical analysis method was used to analyze the characteristics of highway traffic accidents and temporal and spatial distribution in the plateau area. Regarding the number of accidents and the number of equivalent accidents in millions of kilometers as indicators, the systematic clustering method was used to identify the type of highway traffic accidents in the plateau area. Then, it was analyzed with Kunshi expressway as an example,a total of 11 accident-prone points were identified, which match the actual situation effectively. The results show that,in terms of time distribution,highway traffic accidents in the plateau area happen frequently in winter and spring, that the accident rate is highest in the afternoon and the evening, that in terms of space, road accidents in the counties and townships in the plateau region occur more frequently, that from the point of view of accidents, highway accidents in the plateau area are mostly frontal collisions and scratching pedestrians, which occupied 57% of the total number of accidents.

Key words: traffic engineering, plateau area, highway traffic, system clustering, accident multiple point, identification

中图分类号:

X928.03

牛志鹏, 祁首铭, 吴东玲, 刘文佳, 廉冠. 考虑系统聚类的公路交通事故多发点鉴别研究[J]. 中国安全科学学报, 2018, 28(11): 104-109.

NIU Zhipeng, QI Shouming, WU Dongling, LIU Wenjia, LIAN Guan. Research on identification of black spots for highway based on system clustering method[J]. China Safety Science Journal, 2018, 28(11): 104-109.

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考虑系统聚类的公路交通事故多发点鉴别研究

Research on identification of black spots for highway based on system clustering method

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