双碳目标下市域和城轨贯通运营列车开行方案优化OA

In response to the ongoing trend of four-network integration,the integration of suburban railway and urban rail transit must enhance operational efficiency while reducing carbon emissions.Based on the"linear"integrated operation model,a multi-objective optimization model is constructed to minimize the total passenger travel cost,total enterprise operating cost,and carbon emissions cost,subject to constraints such as minimum departure frequency and turnaround station capacity.Given the characteristics of the model,an adaptive annealing-sparrow search algorithm is developed to solve the optimization problem.Numerical experiments validate the effectiveness of the proposed model and algorithm.The results indicate that,compared to the models of integrated operation with short or long train formations,as well as transfer modes with multi-type or single-type formations,the proposed model not only reduces passenger and enterprise costs but also lowers carbon emissions.In terms of overall cost reduction,the integrated operation mode outperforms the transfer mode,while the multi-type formation configuration surpasses the single-type formation.Furthermore,compared to the simulated annealing algorithm and the sparrow search algorithm,the proposed adaptive annealing-sparrow search algorithm demonstrates superior performance in both solution efficiency and quality.The research findings provide impor-tant insights for the formulation of green transportation development strategies within the context of four-network integration.