Developing a Tool for Road Graph Time-Dependent Connectivity Measure

The aim of this paper is to expand the methodology of the Space Syntax theory by additional criteria, which makes it possible to assess the change in level of integration and connectivity of urban road sections at different times of the day depending on the network load. By creating code in Python, a road graph with main criteria of the urban street and road network was built, then using the Space Syntax theory methodology, two types of traffic flow along the graph were designed: first one took into account only the path length when choosing a route, while the second one also took into account a load level. The results of this study confirmed the veracity of Wardrop's theory which talks about the differences between user equilibrium and system optimal approaches for choosing a route, in addition, the theory of displacement of integration centers and connectivity of various sections of the road network during the day was practically confirmed.