Efficiently allocating tracks for trains in high-speed train stations is crucial for avoiding train conflicts. The wireless sensor networks (WSN) can support intelligent infrastructure and make train stations smart. After wireless sensors collect vast amount of dynamic information, information integration is an effective approach for achieving efficiency in data process. So far, many approaches have been proposed by scholars for optimizing track allocation. However, no optimization method has been presented for track allocation in smart high-speed train stations from the perspective of industrial information integration. Accordingly, this paper proposes a model for optimizing track allocation by setting the balance of track occupied times and the balance of track occupied interval as objective functions. A simulated annealing algorithm is developed for finding solutions for the model. An application is presented to verify the proposed model and algorithm.

在高速火车站中为火车有效分配轨道对于避免火车冲突至关重要。无线传感器网络（WSN）可以支持智能基础设施并使火车站变得智能。无线传感器收集了大量动态信息后，信息集成是一种提高数据处理效率的有效方法。到目前为止，学者们已经提出了许多优化轨道分配的方法。然而，从工业信息集成的角度来看，还没有提出用于智能高速火车站的轨道分配的优化方法。因此，本文提出了一种以轨道占用时间的平衡和轨道占用间隔的平衡为目标函数，优化轨道分配的模型。开发了一种模拟退火算法来寻找模型的解。提出了一种应用来验证所提出的模型和算法。