In transportation network analysis, various types of road network data can be used even when focusing on the same region. Since different road network datasets can make different performance in analyses, it is necessary to compare them and make appropriate selections in a qualitative manner. However, many of the existing methods for comparing road network datasets are limited to specific topological evaluations and do not consider transportation. This study proposes a method for quantitative comparison of different road network datasets with explicit consideration for traffic flows on them. The method first conducts a static traffic assignment with hypothetical demand for each dataset, and then compare the results using Wasserstein distance on two dimensional plane. Case study on different sources of road network datasets and their simplifications suggests the potential use of the proposed method in evaluating and selecting road network datasets.

翻译：在交通网络分析中，即使聚焦于同一区域，也可能使用多种类型的道路网络数据。由于不同道路网络数据集在分析中表现各异，因此需要对其进行比较并以定性方式进行合理选择。然而，现有许多道路网络数据集比较方法局限于特定的拓扑评估，未考虑交通因素。本研究提出一种显式考虑交通流量的不同道路网络数据集定量比较方法。该方法首先为每个数据集进行静态交通分配（基于假设需求），然后利用二维平面上的Wasserstein距离比较分配结果。针对不同来源道路网络数据集及其简化版本的案例研究表明，所提方法在评估和选择道路网络数据集方面具有潜在应用价值。