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.
Train energy efficiency optimization scheme based on speed profile correction curve
Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023) ; 2023 ; Dalian, China
Proc. SPIE ; 13064
2024-02-20
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Europäisches Patentamt | 2020
|Multi-train speed curve collaborative optimization method considering network loss
Europäisches Patentamt | 2020
|VIRTUAL-COUPLING OPERATION FOR HIGH-SPEED RAIL BASED ON FOLLOWING- TRAIN SPEED PROFILE OPTIMIZATION
British Library Conference Proceedings | 2021
|