There are different tools in the current state of the art that allow working on different driving aspects separately. This also puts great emphasis on the importance of the use of traffic simulators as an integral tool to test said technologies. These systems may also unfortunately prove to be a great distraction for the driver, making the testing and assessment phase of such technologies absolutely imperative. Because these technologies facilitate vehicle-to-vehicle communication relying on Vehicular Ad-Hoc Networks (VANETs) or the transfer of data between vehicles and roadside units, they enable the development of new applications to increase the efficiency of transport networks. To reduce the amount of accidents and increase safety on roads, cooperative systems that adhere to Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) communication (together V2X) use data collected by sensors located in other vehicles or infrastructure to assist the driver. Department of Transportation (DOT) reports approximately 2.5 million intersection accidents annually, which is the second largest category of accidents nationally after rear-end collisions. Additionally, the Federal Highway Administration (FHA) of the U.S. According to the preliminary data from the National Safety Council (NSN) of the U.S, in 2016, 40,000 people died in motor vehicle crashes, an increase of 6% and 14% from the previous years 20, respectively. Human error as a result of aggressive, intoxicated, drowsy, or distracted driving remains a leading cause of road accidents, substantially affecting road safety. The usability of the implemented simulation platform was evaluated by means of an experiment related to the efficiency of a Traffic Light Assistant (TLA), showing the analysis of the answer that 80% of the participants were satisfied with the simulator and the TLA system implemented. An extension of a previous version, this work improves simulation performance and realism by reducing computational demand and integrating a tailored scenario with the ADAS to be tested. The TraCI as a Service (TraaS) library was implemented to perform the interaction between the driver-controlled vehicle and the Simulation of Urban MObility (SUMO). The engine creates a driving situation as it communicates with a traffic simulator as a means to simulate real-life traffic scenarios. The need for a tailored platform to perform specific research on the cooperative Advanced Driving Assistance System (ADAS) to assess the effect on driver behavior and driving performance motivated the development of a driver-centric traffic simulator that is built over a 3D graphics engine. In-vehicle applications that are based on Vehicle-to-Everything (V2X) communication technologies need to be evaluated under lab-controlled conditions before performing field tests.
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