Abstract
Joint operation optimization for virtual coupling of heavy-haul trains is hardly performed by locomotive engineers due to the increasing “harmonic” effects among train groups and environmental uncertainties. In this paper, an improved dynamic programming model is established based on the inherent Markov nature of train control decisions. Then, a new joint optimization principle for headway and energy savings is conducted simultaneously, and a connected locomotive engineering advisory analysis is performed for virtual coupling and quasi-mobile block. In view of the small fluctuations of control settings and the model’s real-time performance, the constraint model for the speed limitations around the throat area has been developed. Simulation results based on real heavy-haul trains running data show that the proposed approach contributes a significant improvement in headway compression and energy efficiency.
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