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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2021, Vol. 55 Issue (4): 720-726    DOI: 10.3785/j.issn.1008-973X.2021.04.014
    
Effect of roadway access on traffic safety at adjacent intersection
Qi ZHANG1(),Hong CHEN1,*(),Ji-biao ZHOU2,Min ZHANG1,Lin GUO2,Ren-fa YANG2
1. College of Transportation Engineering, Chang’an University, Xi’an 710064, China
2. School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China
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Abstract  

Roadway access CMF-values were effectively estimated based on the point cloud data of the accident coordinates in Yinzhou District, Ningbo in order to fill the gap in the quantitative assessment of the effect of the roadway access on the traffic safety at the adjacent intersection and complement the crash modification factor (CMF) of roadway access impacted on the adjacent intersection. An efficient method was presented, including a two-stage clustering approach (TSCA) for developing relationship among accidents, intersections, and roadway access close to the intersections, which is applicable for accurate identification of accident hotspots from large-scale point cloud data and the zero-inflated negative binomial model (ZINB) for influencing factor analysis. Results showed that TSCA accurately identified 24, 16 and 10 intersection accident hotspots according to 60, 70 and 80 accident frequency threshold, respectively. ZINB was applied to model the main influencing factors of the 24, 16 and 10 black factors identified by TSCA, respectively. CMF-values were estimated by 1.17, 1.19, and 1.20, respectively. Roadway access has a significant impact on the safety of the adjacent intersection and a more significant effect on the intersection with a higher accident rate.

Key words： traffic safety      roadway access      urban intersection      crash modification factor      two-stage clustering approach (TSCA)      zero-inflated negative binomial model (ZINB)     
Received: 28 March 2020      Published: 07 May 2021
CLC:  U 491  
Fund:  国家重点研发计划资助项目（2017YFC0803906）
Corresponding Authors: Hong CHEN     E-mail: 2017021077@chd.edu.cn;glch@chd.edu.cn
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Qi ZHANG
Hong CHEN
Ji-biao ZHOU
Min ZHANG
Lin GUO
Ren-fa YANG
Cite this article:

Qi ZHANG,Hong CHEN,Ji-biao ZHOU,Min ZHANG,Lin GUO,Ren-fa YANG. Effect of roadway access on traffic safety at adjacent intersection. Journal of ZheJiang University (Engineering Science), 2021, 55(4): 720-726.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2021.04.014     OR     http://www.zjujournals.com/eng/Y2021/V55/I4/720


道路开口对临近交叉口交通安全的影响

为了弥补道路开口对临近交叉口交通安全定量影响研究的不足，补充目前有关道路开口影响邻近交叉口的事故修正系数（CMF）评估的缺失，基于宁波市鄞州区事故坐标点云数据对道路开口影响邻近交叉口的CMF值进行有效评估. 提出高效的CMF值评估方法，包括用于建立事故、交叉口及临近交叉口的道路开口三者相关性、适用于从规模事故点云数据中准确识别事故黑点的两阶段聚类算法（TSCA）和针对影响因素分析的零膨胀负二项分布回归（ZINB）模型. 结果显示，TSCA算法能够根据60、70及80三种事故频数阈值，准确识别出24、16及10个交叉口事故黑点；利用ZINB模型对识别出的24、16及10个交叉口事故黑点的主要影响因素建模，计算出道路开口的CMF值分别达到1.17、1.19和1.20. 研究表明，道路开口对临近交叉口安全的影响较明显，对高事故率黑点的影响更显著.


关键词： 交通安全,  道路开口,  城市交叉口,  事故修正系数,  两阶段聚类算法（TSCA）,  零膨胀负二项回归（ZINB） 
Fig.1 Flow chart of two-stage clustering approach
Fig.2 Distribution of all valid accident data
Fig.3 Determined hotspot example in intersection area-Qianhu Road @ Songjiang Road
变量 变量解释 T=60 T=70 T=80
均值 方差 最大 最小 均值 方差 最大 最小 均值 方差 最大 最小
事故计数 交叉口影响范围内每日事故发生数 1.32 2.02 9 0 1.39 1.97 9 0 1.51 1.91 9 0
道路开口数量 交叉口影响范围内开口数量 1.96 1.43 4 0 2.38 1.30 4 0 2.80 1.07 4 1
主要道路流量 取常用对数，无量纲 4.28 0.04 4.48 4.01 4.30 0.02 4.48 4.02 4.34 0.01 4.48 4.07
次要道路流量 取常用对数，无量纲 4.10 0.03 4.43 3.62 4.15 0.02 4.43 3.68 4.19 0.02 4.43 3.73
主要道路车道数 ? 9.04 4.92 14 6 9.25 4.88 14 6 9.40 4.84 14 6
次要道路车道数 ? 7.11 3.55 12 3 7.13 3.46 10 3 7.20 3.36 10 3
天气 二元分类变量，正常（0）降雨（1） ? ? ? ? ? ? ? ? ? ? ? ?
星期 7个哑变量表示 ? ? ? ? ? ? ? ? ? ? ? ?
交叉口上方是否有高架通过 二元分类变量，无（0）有（1） ? ? ? ? ? ? ? ? ? ? ? ?
交叉口区域是否有商业中心 二元分类变量，无（0）有（1） ? ? ? ? ? ? ? ? ? ? ? ?
Tab.1 Descriptive statistics for determined variables
变量 T = 60 T = 70 T = 80
系数 CMF 95%置信区间 系数 CMF 95%置信区间 系数 CMF 95%置信区间
道路开口数量 0.16 1.17 1.07~1.28 0.18 1.19 1.11~1.29 0.18 1.20 1.14~1.25
主要道路流量 0.77 2.16 1.36~3.42 0.64 1.90 1.26~2.86 0.61 1.84 1.24~2.73
次要道路流量 0.46 1.58 1.14~2.21 0.51 1.66 1.24~2.24 0.52 1.67 1.29~2.19
主要道路车道数 ?0.20 0.79 0.76~0.89 ?0.21 0.81 0.76~0.87 ?0.21 0.81 0.75~0.87
次要道路车道数 ?0.32 0.73 0.68~0.77 ?0.28 0.76 0.71~0.80 ?0.26 0.77 0.73~0.82
交叉口上方是否有高架通过 0.15 1.16 1.08~1.25 0.19 1.21 1.13~1.29 0.21 1.23 1.15~1.32
交叉口区域是否有商业中心 0.10 1.11 1.05~1.16 0.08 1.08 1.05~1.13 0.08 1.08 1.04~1.13
Tab.2 CMF values for major explanatory variables
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