The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents
المؤلفون المشاركون
Shiau, Yau-Ren
Hung, Yung-Hsiang
Tsai, Ching-Hsing
Kuo, Yu-Ting
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-07-12
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs.
The environment, time, and region influence the occurrence of traffic accidents.
The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy.
This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE) of Feature Selection to screen the important factors affecting traffic accidents.
It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA), Backpropagation Neural Network (BPNN), and Logistic Regression (LR).
The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types.
The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89%) and FRPCA-LR (85.14%) combined with FRPCA is higher than that of BPNN (84.37%) and LR (85.06%) by 1.52% and 0.08%, respectively.
Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shiau, Yau-Ren& Tsai, Ching-Hsing& Hung, Yung-Hsiang& Kuo, Yu-Ting. 2015. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shiau, Yau-Ren…[et al.]. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shiau, Yau-Ren& Tsai, Ching-Hsing& Hung, Yung-Hsiang& Kuo, Yu-Ting. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073109
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