Energy-Efficient Train Operation Strategy with Speed Profiles Selection for an Urban Metro Line. Issue 4 (April 2019)

• Record Type: Journal Article
• Authors: Mo, Pengli; Yang, Lixing; Gao, Ziyou
• Is Part Of: Transportation research record. Volume 2673:Issue 4(2019)
• Page Start: 348
• Page End: 360
• Publication Date: 2019-04
• Subjects: Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.1177/0361198119836984
• Languages: English
• ISSNs: 0361-1981

Abstract

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.