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Verifying driver performance for heavy haulage fatigue management


Vo, SA and Mirowski, L and Scanlan, J and Turner, P, Verifying driver performance for heavy haulage fatigue management, IET Intelligent Transport Systems, 13, (6) pp. 1033-1040. ISSN 1751-956X (2019) [Refereed Article]

Copyright Statement

© The Institution of Engineering and Technology 2019

DOI: doi:10.1049/iet-its.2018.5314


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 driverís 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 Details

Item Type:Refereed Article
Keywords:transport safety, fatigue, management
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Decision support and group support systems
Objective Division:Transport
Objective Group:Ground transport
Objective Field:Road safety
UTAS Author:Vo, SA (Mr Son Vo)
UTAS Author:Mirowski, L (Dr Luke Mirowski)
UTAS Author:Scanlan, J (Dr Joel Scanlan)
UTAS Author:Turner, P (Associate Professor Paul Turner)
ID Code:130198
Year Published:2019
Web of Science® Times Cited:4
Deposited By:Information and Communication Technology
Deposited On:2019-01-16
Last Modified:2020-05-18

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