The integration of optimizing train timetables with EMU route plans

Area of Science:

• Operations Research
• Transportation Engineering
• Systems Science

Background:

• Phased optimization of high-speed train timetables and Electric Multiple Unit (EMU) routing plans limits resource utilization in networked systems.
• Lack of integration overlooks resource coupling and hinders flexible, efficient management of line capacity and EMU resources across regions.

Purpose of the Study:

• To propose an integrated optimization model for train timetables and EMU routing plans in networked high-speed rail.
• To address the limitations of phased approaches by considering the linkage and coupling relationships between train timetables and EMUs.

Main Methods:

• Developed an integrated optimization approach for train timetables and EMU routing plans.
• Employed complex system modeling from a resource linkage perspective.
• Utilized empirical data from actual high-speed rail operations for validation.

Main Results:

• The integrated model effectively handles a large number of exponentially growing optimization variables.
• Demonstrated the importance of linkage and coupling between train timetables and EMUs.
• Significantly shortened preparation periods for timetable and routing plans, enabling faster service updates.

Conclusions:

• The proposed integrated optimization method provides a feasible theoretical foundation for networked high-speed rail resource management.
• The approach enhances the flexible and efficient utilization of line capacity and EMU resources.
• Validated through a case study on the Beijing-Shanghai high-speed railway, proving its effectiveness.