论文标题
物流，图形和变形金刚：朝着改善旅行时间估计
Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
论文作者
论文摘要
旅行时间估计的问题被广泛认为是现代物流的基本挑战。道路空间方面与地面运输的时间动态之间的互连的复杂性仍然可以维护一个可以进行的区域。但是，当前累积数据的总数鼓励学习模型的构建，这些模型具有明显超过早期解决方案的观点。为了解决旅行时间估计的问题，我们提出了一种基于变压器体系结构-Transtte的新方法。
The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics. The complex nature of interconnections between spatial aspects of roads and temporal dynamics of ground transport still preserves an area to experiment with. However, the total volume of currently accumulated data encourages the construction of the learning models which have the perspective to significantly outperform earlier solutions. In order to address the problems of travel time estimation, we propose a new method based on transformer architecture - TransTTE.
