Paper
20 February 2024 Train energy efficiency optimization scheme based on speed profile correction curve
Jingyi Zhang, Jue Zhang, Xin Chen
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130642Z (2024) https://doi.org/10.1117/12.3016060
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
Urban rail transit, characterized by safety, efficiency, punctuality, and speed, plays a significant role in urban transportation, facilitating people’s mobility. However, the operation of urban rail transit consumes a consider- able amount of energy, resulting in high operating costs and impeding its further development. In this study, focusing on the operation within a single train interval, an improved genetic algorithm is employed to optimize the train’s speed profile, aiming to minimize the traction energy consumption within the interval. Additionally, the deviation in speed profiles due to variations in train’s basic resistance parameters is analyzed, and corresponding correction schemes are proposed. Simulation results demonstrate that a single traction/braking scheme in the train correction plan leads to lower traction energy consumption and better alignment with the operational requirements of urban rail transit.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jingyi Zhang, Jue Zhang, and Xin Chen "Train energy efficiency optimization scheme based on speed profile correction curve", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130642Z (20 February 2024); https://doi.org/10.1117/12.3016060
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KEYWORDS
Genetic algorithms

Energy efficiency

Mathematical optimization

Data modeling

Genetics

Evolutionary algorithms

Particle swarm optimization

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