The stability of train timetables plays an important role in ensuring the safety and punctuality of train operations. Meanwhile, a reasonable stop plan has a significant effect on passenger and energy consumption. Existing research has focused exclusively on adjusting timetables after delays occur, or on adjusting them without considering stop plans. By contrast, in this study, we developed a train timetable and stop plan synchronization optimization model that is passenger and energy-saving oriented. The following objectives were considered for minimization: probability of train delays, energy consumption, and travel time of the trains. A parallelism selection genetic algorithm was designed to solve the model. The section of high-speed railway from Nanjing South to Shanghai Hongqiao was utilized as a case study to evaluate the proposed model. The results showed that, while meeting passenger demand, the proposed optimization approach increased the punctuality rate by 12.55% and decreased the energy consumption by 8.16%.

列车时刻表的稳定性对于保证列车运行的安全和准点具有重要作用。同时，合理的停靠计划对乘客和能源消耗有显着影响。现有的研究只专注于在延误发生后调整时间表，或在不考虑停止计划的情况下调整时间表。相比之下，在本研究中，我们开发了一个以乘客和节能为导向的列车时刻表和停靠计划同步优化模型。考虑了以下目标以进行最小化：列车延误的概率、能源消耗和列车的行驶时间。设计了并行选择遗传算法对模型进行求解。以南京南至上海虹桥的高速铁路段作为案例研究来评估所提出的模型。