Requirements and criteria on highly efficient matching of train demand to offered trains paths (ATRANS 2.1)

ATRANS 2.1子项目的目标是为列车路径和列车路径系统的评价确定科学的参数，以提高计划的稳定性、质量和稳健性。本文提出了一种基于分支割价算法的列车路径优化分配方法，该方法与ATRANS 2.2的另一种列车路径分配方法相配合，具有一定的研究基础。因此，将评估国际、欧洲和国家法律规范对列车路径分配的影响，并将其集成到最优列车路径分配的线性规划中进行建模，通过灵敏度分析来考察列车路径分配的规划稳定性和稳健性。一方面将线性规划的右端变化量作为最优列车径路分配的依据，另一方面考虑随机需求对列车径路分配进行模拟，采用基于事件的模拟方法对机场运营计划算法进行研究，所得到的参数对跨欧铁路货运列车径路分配的进一步研究和效率的提高是必要的。此外，必须在包含质量评估的情况下考虑时变和随机需求。用于灵敏度分析的数据集将从子项目ATRANS 1的列车路径结构中获得。现有的时刻表工具TAKT将以最佳方式在这些结构中添加额外的列车路径。

Goal of the subproject ATRANS 2.1 is the determination of scientific parameters for train paths' and train path systems' evaluation, in order to improve the plan stability, quality and robustness.A method for optimal assignment of train paths by the branch-cut-and-price algorithm has been already developed, which implies the research foundation in cooperation with an additional method for train paths assignment and the gained knowledge of ATRANS 2.2.The principles of non-discrimination of each single train path purchaser must be considered and sufficed to a particular and serious degree. Therefore, the effects of the international, European and national legal norms will be evaluated for the train paths assignment and will be modelled by integrating them into linear programs for optimal train paths assignment.The plan stability and robustness of train paths assignment will be investigated by a sensitivity analysis. On the one hand, the right hand side's variation of the linear program will be regarded for the optimal train paths assignment and on the other hand, the train paths assignment will be simulated under consideration of a stochastic demand.For that purpose, an approach for event based simulation will be adapted, which has been developed in beforehand for the investigation of plan algorithms of airport operations.The gained parameters are a necessity for the train paths assignment's future and the enhanced research and efficiency improvements of the trans-European rail freight transport. Furthermore, the time varying and stochastic demands must be considered under the inclusion of the quality evaluation.The data set which will be used for sensitivity analysis will be derived from train path structures of subproject ATRANS 1. Additional train paths will be added to these structures optimally by the already existing timetabling tool TAKT.