Sto-CAV: A Distributed Simulation Platform for Connected and Automated Vehicles Running With Heterogeneous Technologies and Devices in the Loop

The development and validation of vehicular applications require extensive testing, often constrained by high costs, logistical challenges, and safety concerns. To address these issues, we introduce Sto-CAV (SimulaTiOn platform for Connected and Automated Vehicles), a novel, flexible, and scalable simulation platform that enables remote access and modular testing for connected and automated vehicle applications. Sto-CAV integrates both virtual and physical components geographically distributed, allowing users to execute simulations without requiring local hardware or software. In addition, Sto-CAV supports heterogeneous vehicle-to-everything (V2X) radio access technologies, including ITS-G5 based on IEEE 802.11p, LTE-V2X and Visible Light Communication (VLC), facilitating the test of beyond 5G vehicular communication scenarios where traditional RF communications meet optical bands. Unlike existing solutions, Sto-CAV emphasizes ease of configuration, remote accessibility, and the integration of heterogeneous communication technologies, thus providing a comprehensive tool for testing vehicular systems, accessible to researchers and developers worldwide. This paper details the design, capabilities, and applications of Sto-CAV, highlighting its potential to advance the testing of innovative vehicle technologies, also when they are geographically distributed, allowing average latencies suitable for quasi-real time applications.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3572358
Citations
1
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sto-CAV: A Distributed Simulation Platform for Connected and Automated Vehicles Running With Heterogeneous Technologies and Devices in the Loop

Barbara M. Masini, M. Aresti, Mirko Mirabella, Marco Meucci et al.
1 citations
IEEE Access
Simulation Techniques and Applications
2.11
article

Sto-CAV: A Distributed Simulation Platform for Connected and Automated Vehicles Running With Heterogeneous Technologies and Devices in the Loop

Barbara M. Masini, M. Aresti, Mirko Mirabella, Marco Meucci, Jacopo Catani, Muhammad Ali Umair, Leonardo Donnini
article en
1 citations

Abstract

The development and validation of vehicular applications require extensive testing, often constrained by high costs, logistical challenges, and safety concerns. To address these issues, we introduce Sto-CAV (SimulaTiOn platform for Connected and Automated Vehicles), a novel, flexible, and scalable simulation platform that enables remote access and modular testing for connected and automated vehicle applications. Sto-CAV integrates both virtual and physical components geographically distributed, allowing users to execute simulations without requiring local hardware or software. In addition, Sto-CAV supports heterogeneous vehicle-to-everything (V2X) radio access technologies, including ITS-G5 based on IEEE 802.11p, LTE-V2X and Visible Light Communication (VLC), facilitating the test of beyond 5G vehicular communication scenarios where traditional RF communications meet optical bands. Unlike existing solutions, Sto-CAV emphasizes ease of configuration, remote accessibility, and the integration of heterogeneous communication technologies, thus providing a comprehensive tool for testing vehicular systems, accessible to researchers and developers worldwide. This paper details the design, capabilities, and applications of Sto-CAV, highlighting its potential to advance the testing of innovative vehicle technologies, also when they are geographically distributed, allowing average latencies suitable for quasi-real time applications.

IEEE AccessVol. 13
University of Parma (IT), Institute of Electronics, Computer and Telecommunication Engineering (IT), National Research Council (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Simulation Techniques and Applications
2.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.