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.
Original language | English |
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Article number | 4399 |
Number of pages | 18 |
Journal | Sensors |
Volume | 18 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2018 |
Fields of science
- 101015 Operations research
- 101016 Optimisation
- 502 Economics
- 502028 Production management
- 502017 Logistics
- 502037 Location planning
- 502050 Business informatics
JKU Focus areas
- Social and Economic Sciences (in general)