Verifying driver performance for heavy haulage fatigue management. Issue 6 (12th February 2019)

• Record Type: Journal Article
• Authors: Vo, Son Anh; Mirowski, Luke; Scanlan, Joel; Turner, Paul
• Is Part Of: IET intelligent transport systems. Volume 13:Issue 6(2019)
• Page Start: 1033
• Page End: 1040
• Publication Date: 2019-02-12
• Subjects: security of data -- occupational safety -- logistics -- transportation -- road vehicles -- production engineering computing -- risk management -- monitoring; commercial logistics firms -- operational efficiency targets -- heavy vehicle activity -- fatigue management rules -- maximum work time -- transport operators -- anomaly detection principles -- intrusion detection systems -- logistics fatigue manager application -- fatigue compliance verification system -- fatigue risk -- fatigue compliance requirements -- heavy haulage fatigue management -- driver performance verification -- driver fatigue levels monitoring; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2018.5314
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : 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.