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Verifying driver performance for heavy haulage fatigue management

Vo, SA ORCID: 0000-0002-2332-0539, Mirowski, L ORCID: 0000-0002-1847-3848, Scanlan, J ORCID: 0000-0003-2285-8932 and Turner, P ORCID: 0000-0003-4504-2338 2019 , 'Verifying driver performance for heavy haulage fatigue management' , IET Intelligent Transport Systems , pp. 1-8 , doi:

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Working performance of drivers is an important concern of commercial logistics firms as it directly relates to operational efficiency targets. However, in heavy vehicle activity, the enforcement of fatigue management rules by the Australian government can potentially influence this efficiency as the regulation scheme controls maximum work time and minimum rest time of drivers. Therefore, evaluating a driver’s performance in the context of fatigue compliance is an essential need that aims to assist transport operators increase their operational efficiencies. This research proposes a method in assessing how well a driver performs their job by using anomaly detection principles from Intrusion Detection Systems in Network Security. This approach utilises output data of the Logistics Fatigue Manager Application and compliance outcomes of the Fatigue Compliance Verification System to measure driver performance. In addition to performance concerns, the system also monitors safety levels based on fatigue conditions of drivers to ensure that the positive evaluation outcomes can become applied standards for the whole fleet in practice. The results highlight the opportunity to monitor driver fatigue levels for verifying fatigue risk within existing fatigue compliance requirements.

Item Type: Article
Authors/Creators:Vo, SA and Mirowski, L and Scanlan, J and Turner, P
Keywords: transport safety, fatigue, management
Journal or Publication Title: IET Intelligent Transport Systems
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1751-956X
DOI / ID Number:
Copyright Information:

© The Institution of Engineering and Technology 2019

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