A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed
المؤلفون المشاركون
Kim, Eui-Jin
Park, Ho-Chul
Kho, Seung-Young
Kim, Dong-Kyu
المصدر
Journal of Advanced Transportation
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-12
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Predicting travel speeds on urban road networks is a challenging subject due to its uncertainty stemming from travel demand, geometric condition, traffic signals, and other exogenous factors.
This uncertainty appears as nonlinearity, nonstationarity, and volatility in traffic data, and it also creates a spatiotemporal heterogeneity of link travel speed by interacting with neighbor links.
In this study, we propose a hybrid model using variational mode decomposition (VMD) to investigate and mitigate the uncertainty of urban travel speeds.
The VMD allows the travel speed data to be divided into orthogonal and oscillatory sub-signals, called modes.
The regular components are extracted as the low-frequency modes, and the irregular components presenting uncertainty are transformed into a combination of modes, which is more predictable than the original uncertainty.
For the prediction, the VMD decomposes the travel speed data into modes, and these modes are predicted and summed to represent the predicted travel speed.
The evaluation results on urban road networks show that, the proposed hybrid model outperforms the benchmark models both in the congested and in the overall conditions.
The improvement in performance increases significantly over specific link-days, which generally are hard to predict.
To explain the significant variance of the prediction performance according to each link and each day, the correlation analysis between the properties of modes and the performance of the model are conducted.
The results on correlation analysis show that the more variance of nondaily pattern is explained through the modes, the easier it was to predict the speed.
Based on the results, discussions on the interpretation on the correlation analysis and future research are presented.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Eui-Jin& Park, Ho-Chul& Kho, Seung-Young& Kim, Dong-Kyu. 2019. A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169821
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Eui-Jin…[et al.]. A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169821
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Eui-Jin& Park, Ho-Chul& Kho, Seung-Young& Kim, Dong-Kyu. A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169821
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1169821
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