Exploring the influential factors of roadway departure crashes on rural two-lane highways with logit model and association rules mining
|نوع نگارش مقاله||
scopus – master journals – JCR
۴٫۲۷۶ در سال ۲۰۲۰
۲۶ در سال ۲۰۲۱
۰٫۹۰۱ در سال ۲۰۲۰
|شاخص Quartile (چارک)||
Q1 در سال ۲۰۲۰
خرید محصول توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود محصول در اختیار شما قرار خواهد گرفت و هر گونه فروش در سایت های دیگر قابل پیگیری خواهد بود.
فهرست مطالب مقاله:
Roadway departure (RwD) crashes are a major contributor of rural two-lane (R2L) highway ۲۸ crashes and fatalities. For targeted reduction of crashes and fatalities due to roadway ۲۹ departure, a thorough understanding of factors associated with RwD crashes is necessary. ۳۰
This study quantitatively assessed the available pre-crash factors that might influence the vehicle and driver-related characteristics of ۱۲۲,۹۷۸ crashes that occurred in Louisiana
RwD crashes by developing a logit model comparing roadway, crash environment, and the
|بخشی از متن مقاله:|
A roadway departure (RwD) crash is a non-intersection crash, which occurs after a vehicle crosses an edge line or a cen-
54 terline, or otherwise leaves the traveled roadway (Federal Highway Administration, 2017a). RwD crashes are the result of
55 drivers running off the road to the right, crossing the centerline/median into an oncoming lane of traffic (head-on or
56 opposite-direction-sideswipe crashes), or running off the road to the left. Vehicles running off the road may also involve a
57 rollover, an immersion, or the hitting of a fixed object. The FHWA mentions four key reasons for roadway departure from
58 the drivers’ perspective – roadway condition, collision avoidance, vehicle component failure, and driver error (FHWA, 2019).
59 Because vehicles involved in RwD crashes often end up hitting moving vehicles or fixed rigid structures (bridges, poles,
60 guardrails, etc.), the outcome of RwD crashes tends to be severe (see Fig. 1).
61 Roadway departure (RwD) crashes are considered to be a major contributor of highway fatalities in the United States.
62 During 2015–۲۰۱۷, more than half of all roadway fatalities occurred due to roadway departure (Federal Highway
63 Administration, 2017a). RwD crashes are a serious concern in the Louisiana State, specifically on rural two-lane (R2L) high-
64 ways. According to the Louisiana crash data, between 2005 and 2017, 29.5 percent of all non-intersection crashes are caused
65 by roadway departure on the state-controlled highways (LADOTD, n.d.). RwD crashes on the R2L highways consisted of 72.2
66 percent of all R2L non-intersection crashes over the course of thirteen years. In the same period, 79.7 percent of total fatal
67 non-intersection crashes (4,903 of 6,151) were reported as having been caused by the roadway departure, including 37.4
68 percent from R2L highways. The general descriptive statistics indicate that RwD crashes require serious attention.
69 National transportation agencies have identified lowering the frequency of roadway departure crashes as a national pri-
70 ority (AASHTO, 2008; Julian, ۲۰۱۳). To prevent RwD crashes by keeping vehicles on the roadway, the FHWA and AASHTO
71 (American Association of State Highway Transportation Officials) recommended several countermeasures, such as – pave-
72 ment friction, alerting drivers with rumble strips, enhancing delineation along horizontal curves, and improving nighttime
73 visibility, etc. (AASHTO, 2008; Federal Highway Administration, 2017a). In line with the nationwide urgency to cut down
74 RwD crashes, Louisiana Department of Transportation and Development (DOTD) also reported preventing RwD crashes as
75 one of the top priorities in obtaining the goal of halving traffic fatalities and severe injuries from 2009 to ۲۰۳۰ (LADOTD,
76 ۲۰۱۸). The Louisiana DOTD has already implemented several countermeasures on a large scale in recent years, notably cen-
77 terline rumble strips and shoulder rumble strips on R2L highways. However, a data-driven approach with an improved
78 understanding of the multitude of factors associated with the RwD crash is required for the application of safety counter-
79 measures aiming towards its targeted reduction and prevention.
80 The approach of this study is twofold. First, the research team utilized a conventional binary logistic regression model to
81 analyze roadway, driver, vehicle, crash and environmental characteristics from crash data of thirteen years. In the logit
82 model, the crashes essentially form one element of the binary outcome of a crash (RwD versus non-RwD) to estimate the
83 strength of association each crash characteristic carries in the occurrence of RwD crashes. This prediction model also helps
84 to estimate the probability of an RwD crash as a function of a specified group of characteristics.
85 Second, aiming at gaining more knowledge on the associative contributing factors, we applied ‘Association Rule Mining’
۸۶ (ARM) – a non-parametric unsupervised data mining algorithm – that offers analysts the flexibility to explore interconnec-
87 tions among factors without prior knowledge of them. Widely used in business disciplines, this method has been popular
88 among transportation safety researchers. Pande and Abdel-Aty (2009) suggested that ARM could be very useful to uncover
89 unknown patterns in the crash data obtained from large jurisdictions and potentially be a decision support tool for traffic
90 safety administrators. The ability of this technique in detecting interdependencies among crash factors has been reiterated
91 in a number of studies in the last decade, especially in recent years (e.g. Das et al., 2020a, 2018b; Weng et al., 2016). We
92 utilized this data mining tool to identify patterns of crashes that are related to the selected key contributing factors of
93 RwD crashes from the logit model and to demonstrate how interconnections of multiple crash contributing factors of
94 RwD crashes can be explored further.
لطفا پیش از ارسال نظر، خلاصه قوانین زیر را مطالعه کنید: فارسی بنویسید و از کیبورد فارسی استفاده کنید. بهتر است از فضای خالی (Space) بیشازحدِ معمول، شکلک یا ایموجی استفاده نکنید و از کشیدن حروف یا کلمات با صفحهکلید بپرهیزید. نظرات خود را براساس تجربه و استفادهی عملی و با دقت به نکات فنی ارسال کنید؛ بدون تعصب به محصول خاص، مزایا و معایب را بازگو کنید و بهتر است از ارسال نظرات چندکلمهای خودداری کنید.