Journal
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
Volume 40, Issue 5, Pages 619-633Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.omega.2011.12.001
Keywords
Coasting control; Genetic algorithm; Energy consumption; Railway network
Funding
- National Natural Science Foundation of China [70901006, 71101007]
- Fundamental Research Funds for the Central Universities [2011JBM158, 2011JBM162]
- Research Foundation of State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University [RCS2011ZT008, RCS2010ZZ001]
- Program for New Century Excellent Talents in University [NCET-10-0218]
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Focusing on solving critically important train operation problems on a railway network, this paper investigates a mathematical model for finding optimal trains movements under the consideration of operational interactions. With the predetermined routing and traversing order plan, we explicitly consider the optimization of energy consumption and travel time as the objective based on the coasting control methods. To reduce the calculation difficulties, simulation-based methodologies are proposed to compute the energy consumption and traversing time through using specific performance of the involved trains. A genetic algorithm integrated with simulation is designed to seek the approximate optimal coasting control strategies on the railway network. The numerical experiments investigate the effectiveness of the proposed model and algorithm. (C) 2011 Elsevier Ltd. All rights reserved.
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