Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather
المؤلفون المشاركون
Feng, Rui
Cui, Shaohua
Xue, Yongjie
Yu, Bin
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-19
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
In rainy weather, the accurate prediction of traffic status not only helps road traffic managers to formulate traffic management methods but also helps travelers design travel routes and even adjust travel time.
In this paper, based on six-dimensional data (e.g., past and present spatiotemporal traffic status, road network structure, pavement type, water accumulation, and rainfall level), a fuzzy neural network (FNN) prediction system is proposed to predict traffic status.
The traffic status evolution trend is related not only to the existing traffic but also to the new traffic demand.
Therefore, the FNN prediction system designed includes offline and online parts using the data of the past and the day separately and avoids the forecast of new traffic demand.
The fuzzy C-means clustering algorithm is applied to cluster traffic status data under similar rainy weather in the past to form an offline initial dataset, which is used to train FNN weight parameters.
The online part uses real-time detection data and the parameters trained by the offline part to further predict the traffic status and returns the prediction errors to the offline part to correct the weight parameters to further improve prediction accuracy.
Finally, the FNN prediction system is verified using real Beijing expressway network data.
The verification results show that the prediction system can guarantee prediction accuracy and can be used to effectively identify traffic status.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xue, Yongjie& Feng, Rui& Cui, Shaohua& Yu, Bin. 2020. Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1176628
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xue, Yongjie…[et al.]. Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather. Journal of Advanced Transportation No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1176628
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xue, Yongjie& Feng, Rui& Cui, Shaohua& Yu, Bin. Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1176628
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176628
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