Abstract: When facing emergency situations, the high-speed railway trains may have trips cancelled due to uncontrollable factors, resulting in a large number of passengers being stranded at the stations. Not only will there be a loss of passenger flow, but also may result in safety accidents. Commences with two aspects, namely railway benefits and the train stop time at stations. It gives priority to the needs of long-distance passengers, takes the ticket allocation and the station stopping plan as decision variables, aims at maximizing the passenger ticket revenue, minimizing the cost of adding stops and the stop time, and establishes a collaborative optimization model for ticket allocation and station stopping plan. Taking a section of the Beijing-Shanghai High-Speed Railway as an example, in the case of train suspension, the remaining transport capacity of subsequent trains is used to evacuate the stranded passengers. The COPT solver is used to solve the example of the Beijing-Shanghai High-Speed Railway. The results show that the method of adding station stops has a good effect on the evacuation of stranded passengers, the loss of passenger transport revenue has been reduced by 98.7%, with the highest evacuation rate reaching 90.37%. It also avoids certain economic losses and reduces the negative impact brought by emergency situations to a controllable range.