As the connection relationship between multiple trains at multiple stations is flexible and complex in China's high-speed railway network,in order to effectively improve the service quality for transfer passengers,an integer programming model is first established to optimize the train connection plan in timetable,then the stop plan and arrival/departure time of trains in the existing timetable are rescheduled,and the connection time,frequency and mode between trains are optimized.Then,according to the characteristics of the problem,a genetic algorithm is designed based on the linearized model,and the sequential and iterative decision-making of train stop and arrival/departure time is incorporated in the framework of the genetic algorithm to improve the solving efficiency of the model.Finally,relying on the"Two Horizontals and Two Verticals"trunk high-speed railway network,a large-scale calculation case is constructed to verify the effectiveness of the proposed method.The results show that compared with the actual train connection plan,after optimization,the average connection time between trains is shortened by 11 min,the connection frequency is increased by a total of 1 109 times,53 sets of train connections are improved from different stations to the same station,and transfer service quality of 74.94％of passenger ODs is improved to varying degrees.The more transfer demand in a passenger OD,the greater the enhancement of transfer service quality,and the better matching degree of train connection service resources to passenger demand between different ODs.The proposed method can achieve a significant improvement in the quality of train connection plan under the premise of a slight adjustment of the existing timetable.
维普
万方数据