Energy-Efficient Operation Curve Optimization for High-Speed Train Based on GSO Algorithm
نویسندگان
چکیده
The demand for high-speed automatic train operation (ATO) system brings new opportunities and challenges the railway field. requirements of energy consumption, punctuality, safety smoothness are also increasing, especially research on saving trains ushers in a broader development space. This paper proposes quantitative functions four energy-saving performance indexes multi-objective optimization model curve considering characteristics ATO system. An method based Glowworm Swarm Optimization (GSO) algorithm is proposed. simulation results show that using GSO can save about 16.9% electrical consumption per kilometer compared with by other algorithms, which verifies effectiveness method. result from this provides theoretical support practical application.
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ژورنال
عنوان ژورنال: Communications in computer and information science
سال: 2021
ISSN: ['1865-0937', '1865-0929']
DOI: https://doi.org/10.1007/978-981-16-7210-1_12