Boundary Identification for Traction Energy Conservation Capability of Urban Rail Timetables: A Case Study of the Beijing Batong Line

Jiang Liu, Tian-tian Li, Bai-gen Cai and Jiao Zhang
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Jiang Liu: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Tian-tian Li: Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing 100044, China
Bai-gen Cai: School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
Jiao Zhang: Vehicle and Equipment Technology Department, Beijing Subway Operation Technology Centre, Beijing 100044, China

Energies, 2020, vol. 13, issue 8, 1-25

Abstract: Energy conservation is attracting more attention to achieve a reduced lifecycle system cost level while enabling environmentally friendly characteristics. Conventional research mainly concentrates on energy-saving speed profiles, where the energy level evaluation of the timetable is usually considered separately. This paper integrates the train driving control optimization and the timetable characteristics by analyzing the achievable tractive energy conservation performance and the corresponding boundaries. A calculation method for energy efficient driving control solution is proposed based on the Bacterial Foraging Optimization (BFO) strategy, which is utilized to carry out batch processing with timetable. A boundary identification solution is proposed to detect the range of energy conservation capability by considering the relationships with average interstation speed and the passenger volume condition. A case study is presented using practical data of Beijing Metro Batong Line and two timetable schemes. The results illustrate that the proposed optimized energy efficient driving control approach is capable of saving tractive energy in comparison with the conventional traction calculation-based train operation solution. With the proposed boundary identification method, the capability space of the energy conservation profiles with respect to the energy reduction and energy saving rate is revealed. Moreover, analyses and discussions on effects from different passenger load conditions are given to both the weekday and weekend timetables. Results of this paper may assist the decision making of rail operators and engineers by enhancing the cost effectiveness and energy efficiency.

Keywords: energy conservation; urban transit; train driving control; timetable; bacterial foraging optimization; boundary identification; case study (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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