Studying the effectiveness of project solutions using the transport modeling

Abstract

One of the factors that lead to an increase in congestion on the road network is the growth of motorization levels in the city. Under such conditions, the number of private vehicles on city streets is increasing as delays at intersections and queues. As a result, the passage of the intersection is delayed, as drivers are forced to wait longer for their turn. When reconstructing a street or road, it is proposed to change the traffic management, the number of lanes and the configuration of some intersections to solve the problems described above. However, after the project is implemented, traffic flows are mostly redistributed, and the proposed changes may not be effective. It is imperative to conduct transport modeling, which allows checking the effectiveness of decisions and adjusting the project in the early stages, but not after implementation, to prevent the negative impact of such situations. When performing transport modeling, unnecessary investments that may arise after implementing the project can be avoided, or the feasibility of its implementation can be checked. The object of research is a section of the road network located in a settlement. It is worth noting that all approaches to intersections have high traffic volumes, which should be taken into account when creating project documentation. This article presents a design solution that includes reconfiguring the intersection, increasing the number of lanes, and conducting transport microscopic modeling of the existing and projected conditions to determine the effectiveness of changing the traffic management on the studied section of the road network. According to the results of the microscopic modeling, delays and queues on the approaches to the intersection have been reduced, which indicates that the decision was correct. PTV VISSIM software was used to perform transport modeling. After testing the simulation model and analyzing the results, it is possible to assess the impact of design decisions on the road network and, if necessary, make adjustments.