Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network
المؤلفون المشاركون
Yang, Yang
Gang, Yao
Yang, Lin
Wu, Bo
Li, Hang
Robert, Soltys
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-15
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The safety condition of vehicles passing on long-span bridges has attracted more and more attention in recent years.
Many research studies have been done to find convenience and efficiency measures.
A vehicle safety evaluation model passing on a long-span bridge is presented in this paper based on fully connected neural network (FCN).
The first step is to investigate the long-span bridge responses with wind excitation by using the wind tunnel test and finite element model.
Subsequently, typical vehicle models are given and a vehicle-bridge system is established by considering weather conditions.
Accident types of vehicles with severe weather are estimated.
In particular, the input and output variables of the vehicle safety evaluation model are determined, and simultaneously training, validation, and testing data are achieved.
Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method.
It is found that the 4-15-15-4 model occupies a preferable prediction performance, and it can provide a kind of utility for traffic control and reduce the probability of vehicle accidents on the bridge.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Yang& Yang, Lin& Wu, Bo& Gang, Yao& Li, Hang& Robert, Soltys. 2019. Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1117238
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Yang…[et al.]. Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network. Advances in Civil Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1117238
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Yang& Yang, Lin& Wu, Bo& Gang, Yao& Li, Hang& Robert, Soltys. Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1117238
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1117238
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