An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
المؤلفون المشاركون
Shang, Qiang
Tan, Derong
Gao, Song
Yang, Zhao-Sheng
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-08
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص EN
Missing traffic data are inevitable due to detector failure or communication failure.
Currently, most of imputation methods estimated the missing traffic values by using spatial-temporal information as much as possible.
However, it ignores an important fact that spatial-temporal information of the traffic missing data is often incomplete and unavailable.
Moreover, most of the existing methods are verified by traffic data from freeway, and their applicability to urban road data needs to be further verified.
In this paper, a hybrid method for missing traffic data imputation is proposed using FCM optimized by a combination of PSO algorithm and SVR.
In this method, FCM is the basic algorithm and the parameters of FCM are optimized.
Firstly, the patterns of missing traffic data are analyzed and the representation of missing traffic data is given using matrix-based data structure.
Then, traffic data from urban expressway and urban arterial road are used to analyze spatial-temporal correlation of the traffic data for the determination of the proposed method input.
Finally, numerical experiment is designed from three perspectives to test the performance of the proposed method.
The experimental results demonstrate that the novel method not only has high imputation precision, but also exhibits good robustness.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shang, Qiang& Yang, Zhao-Sheng& Gao, Song& Tan, Derong. 2018. An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1181107
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shang, Qiang…[et al.]. An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR. Journal of Advanced Transportation No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1181107
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shang, Qiang& Yang, Zhao-Sheng& Gao, Song& Tan, Derong. An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1181107
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181107
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