Onboard train speed optimization for energy saving using the prediction of block clearing times under real-time rescheduling

• Published in: Journal of rail transport planning & management 2023-06, Vol.26, p.100392, Article 100392
• Main Authors: Liebhold, Alexandra, Miyoshi, Shota, Nießen, Nils, Koseki, Takafumi
• Format: Article
• Language: English
• Subjects: Connected driver advisory system; Energy-saving driving; Fixed block signaling; Real-time operation; Scale model experiment; Time corridor recommendation
• ISSN: 2210-9706; 2210-9714
• DOI: 10.1016/j.jrtpm.2023.100392

Energy-saving driving is crucial during railway operation, especially in case of disturbances that require timetable rescheduling. This paper presents a method for the dynamic onboard tuning of energy-efficient speed profiles after the real-time train rescheduling process under a fixed block signaling system for mixed traffic. Similar to the idea of connected driver advisory systems, trains constantly communicate with a central traffic management system. After the rescheduling process, this system provides recommended time corridors for the passing of block signals that depend on the predicted clearing times of the block sections. These recommendations are then used for individual energy optimization of single train runs by avoiding unnecessary braking in front of block signals and maximizing cruising distances. The method is tested and evaluated on a representative line segment of the ELVA, the Railway Signaling Lab at RWTH Aachen University under realistic conditions. Energy consumptions are compared for different prediction time horizons at which the recommendations are available to the train's onboard system. In the examined test case of two trains, the energy-consumption could be decreased by up to 53% compared to operation without any rescheduling system. Thus, the proposed method is able to reduce energy consumption significantly. •Recommended time corridors for onboard energy optimization after rescheduling.•Reduction of unnecessary speed changes and maximization of cruising distances.•No negative effects on arrival times and passenger satisfaction.•Evaluation of the method on a scale model network.