区间线路中断后高速铁路列车运行调整研究OA

To address sudden train delays and minimize the disruption of train operations caused by interval line interruptions,a method for optimizing high-speed railway train operations after such conditions was proposed.First,by considering constraints like interval operation time,station arrival and departure line capacity,and tracking intervals,the goal was to minimize the total delay time of train arrivals and departures and to minimize the influence of the fault on the train operation interval.A train operation adjustment model was then constructed.Second,based on the traditional ant colony algorithm,the train arrival and departure times were mapped into a traveling salesman problem through space reconstruction,and optimization mechanism for pheromone updates was introduced to enhance the global search capability of the algorithm.Finally,using the Zhengxi High-Speed Railway's northward direction from Weibei to Luoyang Longmen as a case study,the model's effectiveness was verified by simulating an interruption scene in the Huashan North to Lingbao West interval.The results are drawn as follows.Compared to the traditional ant colony algorithm,the improved ant colony algorithm can converge more quickly and achieve a satisfactory set of Pareto non-dominated solutions.From the perspective of total train arrival and departure delay time,a 260 min adjustment plan can be achieved for the total line delay time.From the perspective of the impact range of the fault on the train operation interval,an 86 min adjustment plan can be achieved.This algorithm can reduce the total train arrival and departure delay time by 5.11%and the impact range of the fault by 7.04%,respectively.It can effectively restore train operation order after interval line interruptions.By adopting strategies such as changing stop station plans,interval point running,and reasonable overtaking,the algorithm significantly alleviates subsequent train chain delays and ensures that subsequent trains resume on-time operation.This research can provide alternative adjustment strategies for train operation adjustment under complex interference.