Simulation-Based Evaluation of Coasting Operation for Energy Optimization in Urban Railway Systems
Han H.-H. Mukasheva A. Kim K.-S. Kang J.W.
2026Korean Institute of Electrical Engineers
Journal of Electrical Engineering and Technology
2026
Urban railway trains generally accelerate to reach the maximum design speed and decelerate when approaching speed-restricted sections, such as turnouts, tunnels, or stations. However, abrupt acceleration and deceleration lead to unnecessary energy consumption and adverse effects such as component wear, track damage, reduced passenger comfort, and higher operational costs. A Train Performance Simulation (TPS) analysis conducted on a planned urban railway line identified eight locations exhibiting abrupt speed variation, occurring 1.1 to 11.99 s before the start of the speed-restricted section. In this study, we implemented a coasting control algorithm in the TPS by introducing a speed-restriction variable to overcome the existing challenges. We simulated coasting durations ranging from 1 to 16 s to evaluate variations in the travel time and energy consumption. The simulation results indicate that the coasting operation increases the travel time by approximately 3–8% while reducing the power consumption by 14–28%. These findings demonstrate adopting coasting strategies can improve the energy efficiency and reduce operating costs in urban railway systems without significantly affecting the travel time.
Coasting operation , Energy efficiency , Operational cost , Power consumption , Train performance simulation , Train-planning systems , Urban railway
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Department of Transportation System Engineering, Korea National University of Transportation, Gyeonggi-do, Uiwang-si, 16106, South Korea
School of Information Technology and Engineering, Kazakh-British Technical University, Tole Bi Street 59, Almaty, Kazakhstan
Department of Chemical and Biological Engineering, Korea National University of Transportation, Chungju, Chungbuk, 27469, South Korea
Department of Transportation System Engineering
School of Information Technology and Engineering
Department of Chemical and Biological Engineering
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