Computer simulation and analysis of traffic flows at the T-road crossings

Kolomeets Andrey Olegovich

Population’s transport mobility is a key factor of any modern megapolis. Statistics confirm an annual growth of vehicles per capita. Consequently, the traffic flow increased significantly on particular road sections. A software simulation will optimize and reduce the density of traffic flows. Purpose: to develop and justify methods to improve a traffic capacity at the T-road crossings using a simulation of traffic flows. Methods: The study tested a simulation and an analysis of traffic and pedestrian flows with AnyLogic. Results: The researchers implemented a software model which imitated traffic and pedestrian flows at the T-road crossings on Zalesskogo Street and Dusi Kovalchuk Street, Novosibirsk City, as an example. The analysis of traffic flows identified a particular section (on Dusi Kovalchuk Street) with an increasing traffic density. The researchers offered technical and organizational measures to optimize traffic and pedestrian flows at the test crossing. As a result, a pedestrian flow on Zalesskogo Street was transferred to another level; a pedestrian overpass was modelled. A pedestrian traffic transfer from Zalesskogo Street made it possible to optimize signal phases of traffic lights at the crossing. The experiments verified effectiveness of suggested methods. With an optimized scheme, traffic flow analysis indicated an increasing traffic capacity on particular road sections and a decreasing traffic density on earlier busy sections of Dusi Kovalchuk Street. Practical relevance: The researchers developed a simulation model; suggested technical and organizational measures are to be used to analyze and to optimize traffic flows at the similar (standard) crossings in the megapolises.

Keywords:Simulation, Traffic Flows, Traffic Capacity, Signal Phases of Traffic Lights