Abstract
<jats:p>The article presents a method for assessing the traffic demand on city streets and roads based on open data using a gravity model. The relevance of the research topic is due to the limited availability of reliable and comprehensive data on actual traffic congestion in Russian cities. The aim of the study is to develop an approach that can serve as an al-ternative or supplement to assessing and forecasting road congestion in conditions of limited data. The initial data used are the parameters of urban neighborhoods – population, density and diversity of services, as well as land use types – which allow calculating indicators of demand and attractiveness for travel between neighborhoods. Based on this data, a correspondence matrix is formed, reflecting the relative volume of traffic flows between nodes of the street and road network, presented in the form of a weighted directed graph. The method allows assessing the demand and potential congestion of city roads without using closed or expensive road traffic data, which is especially relevant when designing new sections of the street and road network and planning urban infrastructure. An experimental test was carried out on the example of Vasilyevsky Island in St. Petersburg using open data from OpenStreetMap. The proposed approach can be useful for improving the efficiency of urban planning and transport management.</jats:p>