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Application of PTV Vissim Simulation Tool to Evaluate Impact of Autonomous Vehicles on Traffic Flow

The development of road vehicles automation dates to the 20s of the last century when it was presented for the first time, car without driver, equipped with antenna and controlled by radio impulses of another vehicle. This paper analyzes the historical review of automation of road vehicles control. In recent years, systems for the development of autonomous vehicle technologies have progressed significantly, and with their implementation, changes will occur in the traffic flow. The advantage of autonomous vehicles is manifested in increasing the capacity of the road due to the possibility of driving at a lower distance at higher vehicle speeds and reduced space use. Benefits of implementation will also include: reduced emissions of harmful gases and reduced number of traffic accidents. Despite all the advantages of autonomous vehicles, there are some drawbacks. For example, the reliability of steering algorithms, the behavior of autonomous vehicles in urban environments and the sensitivity of the sensors to bad weather (abundant rain, snow, fog). The significant problem is also how to mix autonomous vehicles with conventional traffic and how to define rules and working algorithms if there are multiple scenarios during the traffic accident. The aim of this paper is to apply simulation tools in modelling traffic flows after the introduction of autonomous vehicles. The basic traffic parameters will be analyzed and compared (level of service, travel time, queue length, the emissions of harmful gases etc.) using microsimulation tool PTV Vissim on the example of urban intersection. The first scenario will be modeled with conventional vehicles and the second one with autonomous vehicles.

Autonomous vehicles, microsimulation tool, PTV Vissim, road capacity, traffic flow

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