Subarea Division for Urban Road Network Based on Causality

In this paper, a data-driven causal inference method used for intersection relationship detection of urban road network is proposed. Based on the detected causal relationship between intersections, a directed weighted logical network of the urban road network is constructed. Furthermore, a subarea division method based on modularity division is proposed. This method can divide the urban road network into any number of subareas by maximizing the degree of network modularity. The internal links of each subarea network reflect the close logical relationship between intersections, which may in turn facilitate urban road network planning in different areas.