ABSTRACT
The integration of stop-skipping and timetable synchronization strategies presents a promising approach to improving efficiency of subway systems. This optimization is particularly crucial in densely populated urban areas where public transit is a lifeline for daily commuters. The challenge lies in scaling the model for larger networks without compromising on computational feasibility, highlighting the need for innovative solutions in transit network planning(Motvallian Naeini et al. 2022). The advancement of city rail transit systems is a testament to the dynamic nature of modern transportation. The integration of adaptable train arrangement within a Y-type URT system represents a significant leap in operational efficiency. The application of integer programming models and heuristic algorithms, such as the adaptive large neighbourhood search, demonstrates a commitment to continuous improvement and efficiency Within public transport systems, ultimately improving passenger satisfaction and decreasing operational price's(Yang et al. 2024). By employing a dynamic programming model with nonlinear characteristics featuring stop-skipping, urban metro systems can significantly reduce energy waste and improve safety for passengers. The success of this method, as evidenced by numerical experiments, suggests its potential for practical implementation, offering a more sustainable and reliable urban transportation system(Y. Zhang et al. 2024).
