An Online Real-Time Algorithm for Energy-Efficient Train Operation

Energy consumption has been the most important part of railway operational costs. This paper discusses the optimization model and heuristic algorithm for a train moving on the uneven rail from one given point to another within scheduled time. As an emphasis, this paper sets up the algorithm of determining the control handle of the locomotive based on train control mechanism and wayside signal. By regulating the target speed of the train, this algorithm can reduce the delay while ensuring the safe and smooth running. Furthermore, if practical performances of the train have some difference with manipulation guidance for locomotive drivers, the algorithm can provide a new one by real-time calculation. At last, an application on a long-haul railway with complicated geometric conditions has been conducted. Average reduction of energy consumption is respectively 5.88% for loaded train and 7.39% for empty stock train after optimization for twenty-four freight trains with practical records.