Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study

In this study, we examined ticket pricing and train stop planning for the high-speed railway (HSR), which integrates two key aspects of operation organization. We considered that passenger demand is sensitive to generalized travel cost (depending on price time) plan can affect time distribution. Then, a mixed-integer non-linear optimization model was proposed joint problem maximize HSR’s transport revenue minimize passengers’ time. Based high similarity between combinatorial problems solid annealing principle, designed combined simulated (CSA) algorithm solve practical problems. The results numerical example in real HSR network showed method improve by 5.1% reduce loss 11.15% without increasing capacity.