Road matching is the prerequisite for integrating different data to obtain a complete, correct
road network. The growth of multi-source data calls for the advancement of matching …

Over the last decade, Volunteered Geographic Information (VGI) has emerged as a viable
source of information on cities. During this time, the nature of VGI has been evolving, with …

One of the most significant challenges in cities concerns urban mobility. Urban mobility
involves the use of different modes of transport, which can be individual or collective, and …

This study focuses on the positional accuracy of Digital Elevation Models (DEMs) and 3D
vector features by considering that both datasets can be used as a product to assess or as a …

Geospatial data conflation is the process of combining two datasets to create a better one. It
has received increased research attention due to the emergence of new data sources and …

Combining misaligned spatial data from different sources complicates spatial analysis and
creation of maps. Conflation is a process that solves the misalignment problem through …

Transportation agencies are increasingly integrating third-party traffic data into their core
business function areas such as system performance monitoring, project programming …

多源道路网匹配过程中存在次优化问题, 依靠单一度量指标的匹配结果往往出现误匹配和漏匹配
, 为此, 文中提出一种基于最小费用网络流的多指标综合路网匹配方法. 该方法通过在关系数据库 …

Geospatial data conflation is the process of identifying and merging the corresponding
features in two datasets that represent the same objects in reality. Conflation is needed in a …

This study outlines a new approach to matching raster and vector datasets using 3D
geometries. The method includes several procedures based on the similarity of selected …