Modeling traffic flow characteristics in connected environments

In the foreseeable future, it is expected that autonomous vehicles will take their place in the traffic together with the human drivers and provide some advantagess such as saving fuel, energy and time, and faster, reliable and comfortable driving. In the course of this thesis, under mixed traffic conditions, according to their communication with each other (V2V: vehicle to vehicle) and with infrastructure (V2I: vehicle to infrastructure), the signalized intersection performance of autonomous vehicles is examined, without the assumption of if autonomous vehicles, which are expected to have a significant share in the world over the next 10 years, participate in traffic together with human drivers in our country. While the behavioral characteristics of human drivers (reaction time, acceleration etc.) are derived from data collected from field studies, the characteristics of autonomous vehicles are based on the assumptions in the literature. By using all these data together, the behavior of the different driver profiles and the movements of the autonomous vehicles under the same conditions were compared using the SIDRA TRIP program. With the help of different scenarios produced using the outputs of the program, an passanger car equivalence for autonomous vehicles was tried to be obtained. Within the scope of this thesis, a simulation software, in which the mixed traffic conditions -including autonomous vehicles- defined, was written. Thanks to the software, signalized intersection performance of autonomous vehicles is examined according to their communication with each other and infrastructure and the results are evaluated in terms of delay values.