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 to increase their operational efficiencies. This research proposes a method in assessing how well a driver performs his 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 the driver's 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 be 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.
Verifying driver performance for heavy haulage fatigue management
IET Intelligent Transport Systems ; 13 , 6 ; 1033-1040
2019-02-12
8 pages
Article (Journal)
Electronic Resource
English
occupational safety , logistics fatigue manager application , logistics , transportation , road vehicles , operational efficiency targets , anomaly detection principles , fatigue compliance requirements , fatigue compliance verification system , fatigue management rules , monitoring , commercial logistics firms , driver fatigue levels monitoring , heavy haulage fatigue management , security of data , transport operators , maximum work time , driver performance verification , heavy vehicle activity , intrusion detection systems , fatigue risk , production engineering computing , risk management
Metadata by IET is licensed under CC BY 3.0
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