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Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm
المؤلفون المشاركون
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
2019-02-14
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
As a sustainable transportation mode, high-speed railway (HSR) has been developing rapidly during the past decade in China.
With the formation of dense HSR network, how to improve the utilization efficiency of train-sets (the carrying tools of HSR) has been a new research hotspot.
Moreover, the emergence of railway transportation hubs has brought great challenges to the traditional train-sets’ utilization mode.
Thus, in this paper, we address the issue of train-sets’ utilization problem with the consideration of railway transportation hubs, which consists of finding an optimal Train-set Circulation Plan (TCP) to complete trip tasks in a given Train Diagram (TD).
An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances.
A genetic algorithm (GA) is designed to solve the model.
A case study based on Nanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method.
The results show that a more efficient TCP can be formulated by introducing train-sets being dispatched among different stations in the same hub.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yun& Zhou, Yu& Yan, Xuedong. 2019. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yun…[et al.]. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yun& Zhou, Yu& Yan, Xuedong. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170199
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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