Optimal Train Control at a Junction in the Main Line Rail Network using a New Object-Oriented Signalling System Model

On a main line railway network with many junctions, this paper describes how the delay of a train is likely to cause delays to many other trains, especially because of conflicts at junctions. Optimizing one junction, however, may have an adverse effect on other parts of the rail network because of the mixed-traffic situation of most main line railways. To approach the complicated problem of optimal re-scheduling in response to the delay of a train, an efficient algorithm must be sought. The authors have taken a junction as an example, and have performed numerical optimization on a case when the services through this junction are disrupted. The objective criterion is the weighted sum of train times. The optimization program uses the Object-Oriented Multi-Train Simulator (OOMTS) developed by Birmingham University, as an embedded simulator. In the optimization routine, a Genetic Algorithm (GA) was used to optimize the order of route setting. In this paper, the authors give details of a model junction, and a brief explanation of the OOMTS. The authors then explain how a GA can be applied to solve this problem, especially the chromosomal expression of the problem. The results of numerical optimizations for different weighting parameters are shown based on which the authors discuss the feasibility of the proposed method.