Predicting Free Flow Speed and Crash Risk of Bicycle Traffic Flow Using Artificial Neural Network Models
المؤلفون المشاركون
Jin, Sheng
Xu, Cheng
Li, Qiangwei
Qu, Zhaowei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-12
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Free flow speed is a fundamental measure of traffic performance and has been found to affect the severity of crash risk.
However, the previous studies lack analysis and modelling of impact factors on bicycles’ free flow speed.
The main focus of this study is to develop multilayer back propagation artificial neural network (BPANN) models for the prediction of free flow speed and crash risk on the separated bicycle path.
Four different models with considering different combinations of input variables (e.g., path width, traffic condition, bicycle type, and cyclists’ characteristics) were developed.
459 field data samples were collected from eleven bicycle paths in Hangzhou, China, and 70% of total samples were used for training, 15% for validation, and 15% for testing.
The results show that considering the input variables of bicycle types and characteristics of cyclists will effectively improve the accuracy of the prediction models.
Meanwhile, the parameters of bicycle types have more significant effect on predicting free flow speed of bicycle compared to those of cyclists’ characteristics.
The findings could contribute for evaluation, planning, and management of bicycle safety.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Cheng& Li, Qiangwei& Qu, Zhaowei& Jin, Sheng. 2015. Predicting Free Flow Speed and Crash Risk of Bicycle Traffic Flow Using Artificial Neural Network Models. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073237
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Cheng…[et al.]. Predicting Free Flow Speed and Crash Risk of Bicycle Traffic Flow Using Artificial Neural Network Models. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073237
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Cheng& Li, Qiangwei& Qu, Zhaowei& Jin, Sheng. Predicting Free Flow Speed and Crash Risk of Bicycle Traffic Flow Using Artificial Neural Network Models. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073237
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073237
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