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

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          Abstract

          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.

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          OpenStreetMap: User-Generated Street Maps

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            Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis

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              Estimating Vehicle Fuel Consumption and Emissions based on Instantaneous Speed and Acceleration Levels

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                12 December 2018
                December 2018
                : 18
                : 12
                : 4399
                Affiliations
                [1 ]Chair for Sustainable Transport Logistics 4.0, Johannes Kepler University, 4040 Linz, Austria
                [2 ]Eurecom, Campus SophiaTech, 06410 Biot, France; errea@ 123456eurecom.fr
                [3 ]Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28031 Madrid, Spain; alberto.diaz@ 123456upm.es
                [4 ]Institute of Smart Cities; Electrical, Electronic and Communication Engineering, Universidad Pública de Navarra, 31006 Pamplona, Spain; carlos.biurrun@ 123456unavarra.es (C.B.-Q.); lserrano@ 123456unavarra.es (L.S.-A.)
                [5 ]Applied Mathematics and Physics, University of Applied Sciences Technikum Wien, 1200 Wien, Austria; kuba@ 123456technikum-wien.at
                Author notes
                Author information
                https://orcid.org/0000-0002-5211-3598
                https://orcid.org/0000-0002-4150-9052
                https://orcid.org/0000-0001-6446-3248
                https://orcid.org/0000-0002-7072-4464
                Article
                sensors-18-04399
                10.3390/s18124399
                6308840
                30545113
                5a5f342c-69a8-4308-9d62-78954f534b6d
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 October 2018
                : 08 December 2018
                Categories
                Article

                Biomedical engineering
                traffic light assistance,vehicle-to-everything,traffic simulation,driver-centric simulation

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