Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks
المؤلفون المشاركون
Yanbing, Fu
Zhou, Wenliang
Li, Xia-Miao
Meiquan, Xie
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-11-04
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Short-term passenger flow forecasting is an important component of transportation systems.
The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management.
In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passenger flow in high-speed railway system.
There are three steps in the forecasting method.
Firstly, the numbers of passengers who arrive at each station or depart from each station are obtained from historical passenger flow data, which are OD matrices in this paper.
Secondly, short-term passenger flow forecasting of the numbers of passengers who arrive at each station or depart from each station based on neural network is realized.
At last, the OD matrices in short-term time are obtained with an OD matrix estimation method.
The experimental results indicate that the proposed divide-and-conquer method performs well in forecasting the short-term passenger flow on high-speed railway.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Meiquan, Xie& Li, Xia-Miao& Zhou, Wenliang& Yanbing, Fu. 2014. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Meiquan, Xie…[et al.]. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Meiquan, Xie& Li, Xia-Miao& Zhou, Wenliang& Yanbing, Fu. Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034646
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034646
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