Sixth International Conference on Transportation Engineering
Applicability Analysis of Urban Rail Transit Train Resource Sharing under Network Operation
Publication: ICTE 2019
ABSTRACT
Operational resources sharing and management is a critical issue in network operations. A rolling stock utilization model for minimizing operating cost for enterprise is proposed based on a discrete space-time network of urban rail transit. The constraints of operational safety, resource limitation, and continuous operation time are taken into account. A developed genetic algorithm (GA) is addressed for solving the complicated problem. The application of the train resource sharing is analyzed from the perspectives of headway and cross-line costs according to a case study on a virtual rail network. The result indicates that when expanding the difference in headway between different lines, the train resource sharing is conducive to improve the balance of train operation, and reduce operation costs.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
REFERENCES
Carpanrto, G, Dell’Amico, M, Fischetti, M, et al. (1989). “A Branch and Bound Algorithm for the Multiple Depot Vehicle Scheduling Problem”. Networks. 19(19): 531-548.
Canca, D, Barrena, E. (2018). “The Integrated Rolling Stock Circulation and Depot Location Problem in Railway Rapid Transit Systems”. Transportation Research Part E: Logistics and Transportation Review. 109: 115-138.
Cadarso, L, Angel Marín. (2012). “Integration of Timetable Planning and Rolling Stock in Rapid Transit Networks”. Annals of Operations Research, 199(1): 113-135.
Dell’Amico, M, Fischetti, M, Toth, P. (1993) “Heuristic Algorithms for the Multiple Depot Vehicle Scheduling Problem”. Management Science. (39):115-125.
MAO, Baohua, ZHANG, Zheng, CHEN, Zhijie, et al. (2017). “A Review on Operational Technologies of Urban Rail Transit Network”. Journal of Transportation Systems Engineering and Information Technology. 17(6): 155-163.
MAO, Baohua, GAO, Ziyou. (2018). “Progress of Operational Resources Sharing Methods for Urban Rail Networks”. Journal of Transportation Systems Engineering and Information Technology. 18(3): 1-8.
NIU, H, ZHOU, X, TIAN, X. (2018). “Coordinating Assignment and Routing Decisions in Transit Vehicle Schedules: A Variable-splitting Lagrangian Decomposition Approach for Solution Symmetry Breaking”.Transportation Research Part B Methodological. 107: 70-101.
Pepin, A S, Desaulniers, G, Hertz, A, et al. (2009). “A Comparison of Five Heuristic for the Multiple Depot Vehicle Scheduling Problem”.Journal of Scheduling. 12(1): 17-30.
WANG, Shifeng. (2016) “Study on Integrated Train Timetabling and Rolling Stock Scheduling Model and Algorithm Based on Time-Dependent Demand for Urban Rail Transit”. Doctoral dissertation.
YAO, Yu, ZHU, Xiaoning, KANG, Liujiang, LIAO, Zhengwen. (2018). “An Integrated Optimization Model of Train Timetabling and Rolling Stock Scheduling for an Urban Railway Line”. Journal of Transportation Systems Engineering and Information Technology.
ZHENG, L, SONG, R, XIAO, Y, et al. (2014). “Optimization Method for Working out Vehicle Scheduling Plan of Urban Rail Transit under Network Operation”. China Railway Science. 35 (2): 104-110.
Information & Authors
Information
Published In
ICTE 2019
Pages: 560 - 568
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.