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Open AccessArticle

Connection of the SUMO Microscopic Traffic Simulator and the Unity 3D Game Engine to Evaluate V2X Communication-Based Systems

1
Chair for Sustainable Transport Logistics 4.0, Johannes Kepler University, 4040 Linz, Austria
2
Eurecom, Campus SophiaTech, 06410 Biot, France
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Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28031 Madrid, Spain
4
Institute of Smart Cities; Electrical, Electronic and Communication Engineering, Universidad Pública de Navarra, 31006 Pamplona, Spain
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Applied Mathematics and Physics, University of Applied Sciences Technikum Wien, 1200 Wien, Austria
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(12), 4399; https://doi.org/10.3390/s18124399
Received: 18 October 2018 / Revised: 5 December 2018 / Accepted: 8 December 2018 / Published: 12 December 2018
(This article belongs to the Special Issue Sensors Applications in Intelligent Vehicle)
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. 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. The engine creates a driving situation as it communicates with a traffic simulator as a means to simulate real-life traffic scenarios. 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). 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 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. View Full-Text
Keywords: traffic light assistance; vehicle-to-everything; traffic simulation; driver-centric simulation traffic light assistance; vehicle-to-everything; traffic simulation; driver-centric simulation
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Olaverri-Monreal, C.; Errea-Moreno, J.; Díaz-Álvarez, A.; Biurrun-Quel, C.; Serrano-Arriezu, L.; Kuba, M. Connection of the SUMO Microscopic Traffic Simulator and the Unity 3D Game Engine to Evaluate V2X Communication-Based Systems. Sensors 2018, 18, 4399.

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