Energy-efficient train operation strategy with speed profiles selection for an urban metro line

Pengli Mo, Lixing Yang (Corresponding author), Ziyou Gao

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)


In the daily operations of a metro system, physical trains track the speed profiles which are embedded in the automatic train operation (ATO) system, and the speed profile plays a key role in determining both energy consumption and travel time. With consideration of the real-world operational environment and uncertain levels of passenger demand, this study specifically proposes an integer programming model with respect to energy consumption to generate a robust operational strategy which determines the speed profile choice on each segment. Because of the computational complexity of the proposed model, a heuristic algorithm is designed, which combines a genetic algorithm (GA) and a nomadic algorithm (NA), to find a good solution in acceptable computational time. Finally, numerical experiments based on the Beijing Yizhuang metro line are implemented to verify the effectiveness and efficiency of this approach.
Original languageEnglish
Pages (from-to)348-360
Number of pages13
JournalTransportation Research Record
Issue number4
Publication statusPublished - Apr 2019
Externally publishedYes


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