Age of information-based evaluation methodology for cooperative connected and automated mobility

Abstract

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To improve the safety and efficiency of future mobility systems, the Cooperative Connected and Automated Mobility (CCAM) paradigm depends on the timely dissemination of geospatial information among all traffic participants. However, conventional network performance metrics such as reliability and latency often fall short in capturing the true effectiveness of such systems at the application level. For example, even when a vehicle transmits its position periodically over a VANET with acceptable delay and packet loss, the receiving system may still misjudge collision risks due to factors such as low transmission frequency, unpredictable vehicle dynamics, or other temporal inconsistencies. To address these limitations, this paper introduces a novel evaluation framework that builds on Age of Information (AoI) concepts, enhanced with custom penalty functions designed to reflect the specific demands of typical CCAM use cases. By combining these penalty functions with standard statistical indicators, the proposed methodology yields new application-level performance metrics that holistically integrate the impact of both radio-based awareness dissemination and predictive algorithms.

This work was supported by projects PODIUM (101069547) and CODECO (101092696) funded by the EU, SPRINGTIME (PID2023-146378NB-I00) funded by MCIU/AEI/10.13039/501100011033/FEDER/UE and 2021-SGR00330 funded by Generalitat de Catalunya.

Peer Reviewed

Postprint (author's final draft)