Partial Train Speed Trajectory Optimization
- Resource Type
- Conference
- Authors
- Ying, Peiran; Zeng, Xiaoqing; Shen, Tuo; Wang, Yizeng; Ma, Zhongzhen; Wu, Yizhi
- Source
- 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) Intelligent Transportation Systems (ITSC), 2022 IEEE 25th International Conference on. :548-553 Oct, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Optimal control
Automata
Switches
Rail transportation
Trajectory optimization
Standards
Intelligent transportation systems
- Language
This paper proposed a speed trajectory optimizer for the partial eco-driving optimization problem. The standard eco-driving problem is decomposed into several sub-problems to handle the frequent disturbances in daily operation. A train equipped with the regenerative braking system plans to pass through the designated tracks with the minimum energy while meeting the given entry and exit speed and fixed time requirements. Pontryagin's Maximum Principle is used to derive the necessary conditions of the optimal solution. The transition rules are expressed as a finite-state machine. The experiment shows that the optimizer has significant advantages in effectiveness and efficiency.