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Comparison of Crash Severity Risk Factors at Signalized and Stop-Controlled Intersections in Urban and Rural Areas in Alabama

机译:阿拉巴马州城乡信号和停止控制交叉口崩溃严重程度因素的比较

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Understanding the factors that affect crash severity at intersections is essential to develop strategies to alleviate safety deficiencies. This paper identifies and compares the significant factors affecting crash severity at signalized and stop-controlled intersections in urban and rural areas in Alabama using recent five-year crashes. A random forest model was used to rank variable significance and a binary logit model was applied to identify the significant factors at both intersection types in urban and rural areas. Four separate models (urban signalized, urban stop-controlled, rural signalized, and rural stop-controlled) were developed. New variables that were not previously explored were used in this study, such as the roadway type (one-way vs. two-way) and traffic control functioning (yes or no). It was found that one-way roadways were associated with a reduction in crash severity at urban signalized intersections. In all four models, rear-end crashes showed lesser severity than side impacts. Head-on crashes, higher speed limits, and curved sections showed higher severity in urban signalized and stop-controlled intersections. In rural stop-controlled intersections, right-turning maneuvers had a severity reduction. Female drivers showed 15% and 45% higher severity likelihood (compared to males) at urban and rural signalized intersections, respectively. Strategies to alleviate crash severity are proposed.
机译:了解影响交叉路口崩溃严重程度的因素对于制定减轻安全缺陷的策略至关重要。本文确定了利用最近的五年崩溃,确定了影响阿拉巴马城市和农村地区的信号和停止控制交叉口的碰撞严重程度的重要因素。随机森林模型用于排名可变意义,并应用二元登记模型,以确定城乡交叉类型的重要因素。开发了四种独立的型号(城市信号,城市停止控制,农村信号和农村停止控制)。本研究中未探索的新变量在本研究中使用,例如道路类型(单向与双向)和流量控制功能(是或否)。发现单向巷道与城市信号交叉路口的崩溃严重程度降低有关。在所有四种型号中,后端崩溃显示出较小的严重程度,而不是侧面影响。头部碰撞,更高的速度限制和弯曲部分在城市信号化和停止控制的交叉口方面的严重程度呈现出更高的严重程度。在农村停止控制的交叉路口中,右转机动严重减少。在城市和农村信号交叉路口的严重程度可能(与雄性相比)分别表现出15%和45%的45%和45%。提出了减轻崩溃严重程度的策略。

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