A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory
المؤلفون المشاركون
Zhuge, Chengxiang
Zheng, Yan
Mi, Xueyu
Dong, Chunjiao
Shao, Chunfu
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The traffic safety screening could provide guidance for determining the use of resources for traffic safety improvements and is critical for the traffic management.
To account for the impacts of traffic safety and the effects of intersection as a node in the roadway network, a framework with six indicators and four strategies is proposed for intersection traffic safety screening.
The traffic flow has been incorporated into the process of developing three indicators from the perspective of the complex network theory to measure the node importance.
For the assessment of traffic safety, other than the observed and estimated crash frequency and modified time-to-collision, a distance that describes the nonlane-based movements has been proposed from the perspective of traffic safety.
A multilayer entropy-weighted VIKOR (MEW-VIKOR) approach is proposed to compute the ranking results, and four strategies have been developed to better account for the effects of the six indicators simultaneously.
A roadway network with 28 intersections in Shenzhen has been adopted to verify the effectiveness of the proposed framework for intersection traffic safety screening.
The results indicate that the proposed framework with two layers could represent the features of traffic safety and the characteristics of node importance and satisfy the expectation from the public, government, and research institutes.
With an appropriate threshold setting, the ranking results are consistent with the intersection safety investigation and contribute significantly to the reduction of false-positive and false-negative cases in identifying the black spot intersections.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mi, Xueyu& Shao, Chunfu& Dong, Chunjiao& Zhuge, Chengxiang& Zheng, Yan. 2020. A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176250
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mi, Xueyu…[et al.]. A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1176250
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mi, Xueyu& Shao, Chunfu& Dong, Chunjiao& Zhuge, Chengxiang& Zheng, Yan. A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176250
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176250
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر