Determination of scenarios for the implementation of projects for the restoration of transport infrastructure facilities in the post-war period based on traffic flow modeling

The author analyzes the state of the art in theory and practice. It has been established that in the context of post-war restoration of transport infrastructure, it is important to ensure effective planning and implementation of transport infrastructure restoration projects for a given project environment. The purpose of the study is to substantiate an approach to determining scenarios for the implementation of transport infrastructure rehabilitation projects based on traffic flow modeling and, on its basis, to determine a rational scenario for the implementation of transport infrastructure rehabilitation projects for a given project environment. The approach to determining scenarios for the implementation of transport infrastructure rehabilitation projects is substantiated. It is based on the modeling of traffic flows using the Greenshield model and the OpenStreetMap (OSM) framework. The Greenshield model describes the relationships between speed, density, and traffic flow. It allows to identify bottlenecks in the transportation network and prioritize areas for rehabilitation. It is proposed to use the OpenStreetMap (OSM) framework, which provides access to open data on transport infrastructure, allowing the creation of detailed models of transport networks. Based on the proposed approach, a rational scenario for the implementation of transport infrastructure rehabilitation projects for a given project environment – on the priority streets of Kramatorsk, Donetsk region - has been determined. According to the modeling results, it was found that Scenario_1.1 showed the best results in terms of average speed (31.46 km/h) and average delay (3.79 sec/km) of vehicle traffic. The obtained results confirm the feasibility of using an approach to determining scenarios for the implementation of transport infrastructure rehabilitation projects based on traffic flow modeling. Further research in this area should be conducted in the direction of developing a decision support system based on the developed approach.