Investigation of work zone crash casualty patterns using association rules

Weng, Jinxian; Zhu, Jiazheng; Yan, Xuedong; Liu, Zhiyuan

doi:10.1016/j.aap.2016.03.017

Cited by 97 publications

(39 citation statements)

References 27 publications

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“…The rules between the attributes indicate a strong correlation between them while observing the construction accidents accordingly. If the rules constituted between the attributes are broken by taking necessary preventative actions, the dangerous consequences of accidents can be avoided (Weng et al, 2016). Therefore, the results for all nine accident types were sorted according to their lift, which indicates how strong the correlation between antecedent and consequent is.…”

Section: Interpretation Of Resultsmentioning

confidence: 99%

“…Furthermore, work zone crashes (Weng et al, 2016), vehicle-pedestrian crashes in Louisiana (Das et al, 2018), and crashes occurring during rainy weather (Das & Sun, 2014) were explicitly focused. Other researchers tried to discover meaningful relationships, patterns, and trends for railway accidents in China (Chen et al, 2017) and in Iran (Mirabadi & Sharifian, 2010).…”

Section: Analytical Models For the Construction Safetymentioning

confidence: 99%

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An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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Identifying the correlations between the attributes of severe accidents could be vital to preventing them. If such relationships were known dynamically, it would be possible to take preventative actions against accidents. The paper aims to develop an analytical model that is adaptable for each type of data to create preventative measures that will be suitable for any computational systems. The present model collectively shows the relationships between the attributes in a coherent manner to avoid severe accidents. In this respect, Association Rule Mining (ARM) is used as the technique to identify the correlations between the attributes. The research adopts a positivist approach to adhere to the factual knowledge concerning nine different accident types through case studies and quantitative measurements in an objective nature. ARM was exemplified with nine different types of construction accidents to validate the adaptability of the proposed model. The results show that each accident type has different characteristics with varying combinations of the attribute, and analytical model accomplished to accommodate variation through the dataset. Ultimately, professionals can identify the cause-effect relationships effectively and set up preventative measures to break the link between the accident causing factors.

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Section: Interpretation Of Resultsmentioning

confidence: 99%

Section: Analytical Models For the Construction Safetymentioning

confidence: 99%

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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“…Results from these studies showed that crash rate and frequency are increased by the presence of work zones [2][3][4][5][6]. Weng et al [7] used association rules to investigate factors that might have a significant effect on work zone crash casualties. They found that driving under the influence, the speed limit over 40 mph and work zones without traffic control devices have the most significant effects on work zone casualty risk.…”

Section: Introductionmentioning

confidence: 99%

Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes

Ghasemzadeh

Ahmed

2018

J. Mod. Transport.

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Identifying risk factors for road traffic injuries can be considered one of the main priorities of transportation agencies. More than 12,000 fatal work zone crashes were reported between 2000 and 2013. Despite recent efforts to improve work zone safety, the frequency and severity of work zone crashes are still a big concern for transportation agencies. Although many studies have been conducted on different work zone safety-related issues, there is a lack of studies that investigate the effect of adverse weather conditions on work zone crash severity. This paper utilizes probit-classification tree, a relatively recent and promising combination of machine learning technique and conventional parametric model, to identify factors affecting work zone crash severity in adverse weather conditions using 8 years of work zone weatherrelated crashes (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) in Washington State. The key strength of this technique lies in its capability to alleviate the shortcomings of both parametric and nonparametric models. The results showed that both presence of traffic control device and lighting conditions are significant interacting variables in the developed complementary crash severity model for work zone weather-related crashes. Therefore, transportation agencies and contractors need to invest more in lighting equipment and better traffic control strategies at work zones, specifically during adverse weather conditions.

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“…Work zones can disrupt the normal traffic flow and cause many traffic problems . Studies have displayed that work zones can reduce road capacity and increase traffic delay and traffic accident . Due to the wide existence of work zones in the world and the severe problems caused by work zones, many methods have been presented to reduce the negative effect of work zones on traffic.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, developed countries are maintaining and reconstructing aged traffic facilities and developing countries are constructing more new traffic facilities, which both bring a large number of work zones on city arterials and freeways. Work zones can disrupt the normal traffic flow and cause many traffic problems [1][2][3][4][5]. Studies have displayed that work zones can reduce road capacity [6][7][8][9] and increase traffic delay and traffic accident [1,[10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Model for the capacity of the urban signal intersection with work zone

Yang

Zhu

et al. 2016

J of Advced Transportation

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Summary Work zones exist widely on urban arterials in the cities that are undergoing road construction or maintenance. However, the existing studies on arterial work zones are very limited, especially on the work zones at urban intersections, although they have a severe negative impact on the urban traffic system. For the first time, this study focuses on how work zones reduce intersection capacity. A type of widely observed work zone, the straddling work zone that straddles on a road segment and an intersection, is studied. A linear regression model and a multiplicative model suggested by Highway Capacity Manual are proposed respectively to determine the saturation flow rate of the signal intersection with the straddling work zone. The data of 22 straddling work zones are collected and used to evaluate the performances of the proposed models. The results display that the linear regression model outperforms the multiplicative model suggested by Highway Capacity Manual. The study also reveals that reducing approach (or exit) lanes and the mixture of motor vehicles and non‐motor vehicles (and pedestrians) can significantly decrease the capacity of the intersection with straddling work zone. Therefore, in setting a straddling work zone, workers should try to ensure that the intersection approach and exit are unobstructed and set a separation for non‐motors and pedestrians to avoid mixed traffic flow. Copyright © 2016 John Wiley & Sons, Ltd.

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Investigation of work zone crash casualty patterns using association rules

Cited by 97 publications

References 27 publications

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes

Model for the capacity of the urban signal intersection with work zone

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