Simulating the impact of autonomous vehicles (AVs) on intersections traffic conditions using TRANSYT and PTV Vissim

This paper examines the impact of varying autonomous vehicle (AV) sharing ratios at different speeds as a novel concept for signalized intersection management. The analyses were carried out using the TRANSYT and PTV Vissim simulations. Outcomes with particular emphasis on the changes in the share of AVs subject to optimizing the timing of traffic lights show that AVs' specific advantages were confronted with doubts in previous publications. The results illustrate that the more uniform movement of AVs positively affects the traffic flow. The predictable result is that the optimal outcome is achieved with a 100 percent share of AVs, but the situation deteriorates even in the absence of AVs as the share percentage decreases. It may be due to the unregulated interruptions of typical traffic flow that autonomous vehicles generate by forming new patterns. In addition, simulations for speeds of 20 km/h and 60 km/h reveal optimization challenges at intersections for these speeds to maintain a smooth drive through the main street and steady traffic conditions on other approaches. The final result showed that in the urban transportation network, speeds between 30 and 50 km per hour yield reliable and predictable outcomes.