Agile calibration process of full-stack simulation frameworks for V2X communications

Abstract

Computer simulations and real-world car trials are essential to investigate the performance of Vehicle-to-Everything (V2X) networks. However, simulations are imperfect models of the physical reality and can be trusted only when they indicate agreement with the real-world. On the other hand, trials lack reproducibility and are subject to uncertainties and errors. In this paper, we will illustrate a case study where the interrelationship between trials, simulation, and the reality-ofinterest is presented. Results are then compared in a holistic fashion. Our study will describe the procedure followed to macroscopically calibrate a full-stack network simulator to conduct high-fidelity full-stack computer simulations.

A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges

“…In the next section, we will describe in greater detail the testbed components that we have already designed and deployed around the City of Bristol. Compared to our work in [15], in this work, we will focus more on the exchange of Cooperative Awareness Messages (CAMs) on V2I and V2V links as well as the challenges that we faced concerning the large-scale deployment and our solutions for them. Our discussion on the current large-scale deployment will be followed by some preliminary results from our experimental study.…”

“…[21,12]). The importance of simulations, as well as their limitations, were discussed in [15] showing that, in larger scale scenarios, the existing simulation frameworks lack in accuracy and realism. To that extent, we will focus our research on building and deploying a real-world large-scale testbed for V2I and V2V communications that could offer:…”

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“…The rest of our simulation parameters can be found in Table II. Also, the reasoning for choosing this setup was derived from the performance investigation in [17].…”