Optimization of Rolling Stock Scheduling for Multi-line Suburban Railways with Minimization of Deadhead Time. A Case Study of Wenzhou Suburban Rail Network

This study focuses on optimizing rolling stock utilization in multi-line suburban railway networks to minimize empty running time during operations. A mixed-integer programming model is developed, considering multiple depots, diverse train compositions, and capacity constraints. The model is applied to Wenzhou City's suburban railway network, specifically the S1 and S2 lines, using IBM ILOG CPLEX software. The results demonstrate the significance of optimizing rolling stock utilization in suburban railway networks. The implemented model effectively addresses the complexities of multi-line operation and multiple depots, improving rolling stock management. It validates the feasibility and effectiveness of minimizing empty running time in the Wenzhou City network. This research contributes to transportation planning by addressing the challenge of reducing empty running time in multi-line suburban railway systems. Optimizing rolling stock utilization enhances operational efficiency, reduces costs, and improves overall performance. Future studies can further explore additional factors and constraints to enhance optimization for diverse suburban railway networks, considering real-world operational conditions and evolving transportation demands.