Since 2015, China’s railway freight volume has steadily increased; however, the transportation capacity of the existing road network cannot fully adapt to the pressure caused by the increase in freight volume. In addition, the limitations of the current traffic flow adjustment system pose a significant risk of potential capacity bottlenecks in the road network. Thus, there is an urgent need to identify and eliminate dynamic capacity bottlenecks. Therefore, this paper proposes an optimization method for alleviating operational bottlenecks based on multiple strategies. First, evaluation indicators for dynamic railway transportation capacity bottlenecks are selected, and an optimization model for transportation capacity bottlenecks is designed considering the dynamic transportation capacity bottleneck evaluation indicators as constraints. Then, an improved adaptive large‐scale neighborhood search algorithm is studied to solve the above model, and the existing A ∗ algorithm is improved to solve the spatiotemporal route, further enhancing the solving efficiency of the model. Finally, a numerical example is designed to verify the feasibility and effectiveness of the comprehensive railway transportation capacity bottleneck relief method designed in this paper.
Li et al. (Thu,) studied this question.