Energy-efficient speed profile optimization for medium-speed maglev trains

Qingying Lai, Jun Liu, Ali Haghani, Lingyun Meng and Yihui Wang

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 141, issue C

Abstract: This study addresses the problem of reducing the energy consumption of the medium-speed maglev (MSM) system by optimizing the train speed profile. Auxiliary stopping areas, the nonlinear resistance caused by the linear motor, and the suspension energy consumption are considered in the formulation of the speed profile optimization problem. Next, dynamic programming and mixed-integer linear programming (MILP) approaches that utilize these characteristics are proposed to solve the problem. The numerical results show that both approaches ensure MSM train safety and energy-efficient operation. Furthermore, the MILP approach could be used for emergency trajectory planning due to its shorter computational time.

Keywords: Medium-speed maglev; Mixed-integer linear programming; Train safety; Train speed profile optimization (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.tre.2020.102007

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