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

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

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

6 Citaten (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.
Originele taal-2Engels
Pagina's (van-tot)348-360
Aantal pagina's13
TijdschriftTransportation Research Record
Nummer van het tijdschrift4
StatusGepubliceerd - apr 2019
Extern gepubliceerdJa


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