RealCAN: bringing real-time capabilities to canplayer

In this paper we present RealCAN, a real-time capable extension of the canplayer tool available in can-utils, a collection of utilities for interacting with Controller Area Network bus systems on Linux-based operating systems. In particular, RealCAN addresses the main limitation of working with fixed time intervals while replaying previously collected CAN traces with the canplayer tool, allowing developers, engineers and researchers to replay CAN traffic data by maintaining the original time difference between consecutive messages. Performance benchmarks of RealCAN demonstrate its effectiveness in meeting strict timing requirements for critical applications in both simulated environment and real CAN test setups.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757619
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

RealCAN: bringing real-time capabilities to canplayer

Dario Stabili, Mirco Marchetti, Giovanni Gambigliani Zoccoli
Distributed and Parallel Computing Systems
article

RealCAN: bringing real-time capabilities to canplayer

Dario Stabili, Mirco Marchetti, Giovanni Gambigliani Zoccoli
article en

Abstract

In this paper we present RealCAN, a real-time capable extension of the canplayer tool available in can-utils, a collection of utilities for interacting with Controller Area Network bus systems on Linux-based operating systems. In particular, RealCAN addresses the main limitation of working with fixed time intervals while replaying previously collected CAN traces with the canplayer tool, allowing developers, engineers and researchers to replay CAN traffic data by maintaining the original time difference between consecutive messages. Performance benchmarks of RealCAN demonstrate its effectiveness in meeting strict timing requirements for critical applications in both simulated environment and real CAN test setups.

University of Modena and Reggio Emilia (IT), Ferrari (Italy) (IT), University of Bologna (IT)
Openalex Percentile: Top 70%
Distributed and Parallel Computing Systems
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