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.

翻译：交通时间估计问题被广泛视为现代物流的根本挑战,道路空间方面与陆运时间动态之间的相互联系性质复杂,仍然保留着一个有待试验的领域,然而,目前积累的数据总量鼓励建立学习模式,这些模式具有明显优于早期解决办法的视角。为了解决旅行时间估计问题,我们提出了以变压器结构为基础的新方法 -- -- TransTTE。