التفاصيل البيبلوغرافية
| العنوان: |
A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections. |
| المؤلفون: |
Islam, Sheikh Manirul1 (AUTHOR) sheikhmanirul.islam@uq.net.au, Washington, Simon2 (AUTHOR) simon@amagroup.io, Kim, Jiwon1 (AUTHOR) jiwon.kim@uq.edu.au, Haque, Md Mazharul3 (AUTHOR) m1.haque@qut.edu.au |
| المصدر: |
Accident Analysis & Prevention. Aug2023, Vol. 188, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
CRASH injuries, LOGISTIC regression analysis, DIAMOND turning, TRAFFIC accidents, TRAFFIC safety |
| مصطلحات جغرافية: |
QUEENSLAND |
| مستخلص: |
• New insights into the effects of right-turn signal strategy on crash injury severity at signalised intersections. • A novel approach of linking crashes to signal strategies in quantifying the impacts of signal strategies on right-turn crash injury severity. • An application of hierarchical models to take into account the correlation among crashes within intersections. • Crashes during Lagging right-turn signals are likely to be more severe than other right-turn signal strategies. The severity of right-turn crashes (or left-turn crashes for the roads in the US) at signalised intersections tends to be high because of the relatively high conflicting speeds and angle of impact. However, right-turn crash injury severity at signalised intersections was not sufficiently studied. In particular, the effects of signal control strategies on crash injury severity are not known. This study developed crash injury severity models for right-turn crashes at signalised intersections with a novel approach of linking crashes with signal strategies which enabled assessing the effects of signal strategies on crash injury severity. The study provided a comprehensive understanding of the impacts of signal strategies, intersection geometry and traffic factors on crash injury severity of right-turn crashes at signalised intersections. Crash injury severity models were estimated with crash data from 221 signalised intersections in Queensland from 2012 to 2018. To address the hierarchical structure of crash data, two-level hierarchical Multinomial Logit models were applied, hypothesising that the first level includes individual crash characteristics while the second level includes intersection characteristics. The applied hierarchical model accounts for the correlation among crashes within intersections. Results showed that crashes during Lagging right-turn and Diamond overlap turns are likely to be more severe than other signal strategies at intersections, with the Lagging right-turn signal being the most hazardous. The results also illustrate that the probability of severe injuries increases with the number of conflicting lanes, whereas the corresponding probability decreases with the occupancy of the conflicting lane. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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