Optimal Traffic and Task Scheduling for Track Laying in High-Speed Rail Construction

With the rapid advancement of high-speed railways worldwide, the demands of track construction tasks have grown increasingly complex and stringent. Many construction activities rely heavily on train operations, introducing significant challenges to train scheduling. Conflicts frequently arise among train tasks due to overlapping requirements in time, space, and resource allocation. Traditional manual scheduling approaches often fall short in addressing the complexities of these scenarios, underscoring the necessity for intelligent optimization methods. This study presents an optimized scheduling approach tailored specifically to train tasks in high-speed railway construction scenarios. A multi-objective optimization model is proposed, incorporating factors such as task priority, time window constraints, and track resource utilization. The primary objectives are to minimize task completion time, enhance resource efficiency, and ensure operational safety. Additionally, the scheduling of entry, exit, and waiting lines is examined to address practical operational needs. To further improve efficiency, a dynamic waiting line mechanism is designed to facilitate train avoidance and prioritize passage. Solutions to the proposed model are obtained using the Gurobi solver. The applicability and effectiveness of the scheduling scheme are validated through on-site data testing. Results demonstrate that the proposed method significantly improves construction efficiency, reduces resource waste, and enhances overall operational reliability. This research provides theoretical insights and practical methodologies for intelligent scheduling management in high-speed railway construction, contributing to the efficient, green, and sustainable development of rail transit systems in China.