Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China
المؤلفون المشاركون
Qin, Yong
Qin, Lingqiao
Wang, Mingming
Xu, Xinyue
Wang, Li
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
2019-03-20
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
In this study, a mixed integer programming model is proposed to address timetable rescheduling problem under primary delays.
The model considers timetable rescheduling strategies such as retiming, reordering, and adjusting stop pattern.
A genetic algorithm-based particle swarm optimization algorithm is developed where position vector and genetic evolution operators are reconstructed based on departure and arrival time of each train at stations.
Finally, a numerical experiment of Beijing-Shanghai high-speed railway corridor is implemented to test the proposed model and algorithm.
The results show that the objective value of proposed method is decreased by 15.6%, 48.8%, and 25.7% compared with the first-come-first-service strategy, the first-schedule-first-service strategy, and the particle swarm optimization, respectively.
The gap between the best solution obtained by the proposed method and the optimum solution computed by CPLEX solver is around 19.6%.
All delay cases are addressed within acceptable time (within 1.5 min).
Moreover, the case study gives insight into the correlation between delay propagation and headway.
The primary delays occur in high-density period (scheduled headway closes to the minimum headway), which results in a great delay propagation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Mingming& Wang, Li& Xu, Xinyue& Qin, Yong& Qin, Lingqiao. 2019. Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169993
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Mingming…[et al.]. Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169993
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Mingming& Wang, Li& Xu, Xinyue& Qin, Yong& Qin, Lingqiao. Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169993
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1169993
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