Passenger transfer is one of the important research contents after the network operation of high-speed railway. Due to the high operation speed and high frequency, delays at transfer stations may occur frequently, leading to some potential safety problems. Main influence factors such as schedule time, transfer buffer time, waiting time, and delay time of delay and passengers classification during transfer were analyzed. A delay adjustment model of passengers at a transfer station was presented with minimal delay cost, waiting time cost, and adjustment cost as the optimization goal. Two adjustment strategies were proposed, including transfer passengers departure time adjustment and connecting trains departure time adjustment. And a delay adjustment algorithm at transfer station was designed for the optimal adjustment scheme. A case study proves the effectiveness of the method on optimal scheme design for passengers transfer based on the lowest delay cost of all passengers. 1. Introduction For the high-speed railway network, it is impossible to operate direct train between two stations, especially between the long distance lines and feeder lines. So the passenger transfer is an important research problem of transportation organization. The passenger delays will not only easily lead to safety problems and affect the normal transportation, but also cause the negative effects on society. So an effective delay adjustment method is very critical both for passengers and railway operators. In the past, much research has been dedicated to compute optimum railway timetables to research the train delays and reliability of timetables. Su and Nigel  mainly analyzed the frequent minor disruptions (usually last no longer than 10–20 minutes) caused by random disturbances. And they described an integrated real-time disruption control model for a single line on rail transit systems, which includes holding, expressing, and short-turning strategies. Vromans et al.  examined reliability in public railway systems. And they decreased the interdependencies between trains by reducing the running time differences per track section and by this creating more homogeneity of a timetable. Huisman et al.  discussed some recently developed topics such as shunting and reliability of timetables. And then many studies with a view to optimize timetable synchronization for rail transit and transfer optimization problem [4–7]. They researched the transfer optimization problem by minimizing the passenger transfer time or transfer waiting time of the public transport. Then, many
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