Designing train-speed trajectory with energy efficiency and service quality. Issue 5 (4th May 2018)

• Record Type: Journal Article
• Authors: Jia, Jiannan; Yang, Kai; Yang, Lixing; Gao, Yuan; Li, Shukai
• Is Part Of: Engineering optimization. Volume 50:Issue 5(2018)
• Page Start: 797
• Page End: 818
• Publication Date: 2018-05-04
• Subjects: Railway transportation -- energy efficiency -- travel time -- train driving strategy -- genetic algorithm; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1358712
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: With the development of automatic train operations, optimal trajectory design is significant to the performance of train operations in railway transportation systems. Considering energy efficiency and service quality, this article formulates a bi-objective train-speed trajectory optimization model to minimize simultaneously the energy consumption and travel time in an inter-station section. This article is distinct from previous studies in that more sophisticated train driving strategies characterized by the acceleration/deceleration gear, the cruising speed, and the speed-shift site are specifically considered. For obtaining an optimal train-speed trajectory which has equal satisfactory degree on both objectives, a fuzzy linear programming approach is applied to reformulate the objectives. In addition, a genetic algorithm is developed to solve the proposed train-speed trajectory optimization problem. Finally, a series of numerical experiments based on a real-world instance of Beijing–Tianjin Intercity Railway are implemented to illustrate the practicability of the proposed model as well as the effectiveness of the solution methodology.