Abstract:

We study the collaborative optimization of wagon flow organization in technical stations and train operation adjustment in sections, realize “flow and line integration” of transportation regions by adjusting the trains on the way, thus obtaining better transportation production index. We take the wagon flow requirements of the forward technical station as one of the objectives of train operation adjustment and refer it as matching flow adjustment. Analyzing the matching flow adjustment strategies and their application scenarios, we build a matching flow model and design the solving algorithm based on the improved genetic algorithm. The algorithm design fully integrates the features of train operation adjustment and effectively avoids problems of premature and slow convergence. It has good applicability with acceptable computation time. The feasibility of the adjustment targets can be quickly verified, and specific adjustment measures are then proposed. Our findings lay a foundation for further study on the collaborative optimization of wagon flow organization and train operation adjustment in technical stations.

Key words: railway transportation;operation adjustment;wagon flow connection;genetic algorithm;flow and line integration;strategy adjustment