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Abstract

Heavy vehicle transportation is vital to theAustralian logistics industry. However, it also experiences thehighest number of work related accidents. Chain of responsibilityregulations introduced by the National Heavy Vehicle Regulator(NHVR) extends obligations and liabilities for safety in heavyvehicle transport to all participants along with supply chains. Asa result, finding mechanisms to support compliance with fatiguemanagement rules has become important for the whole industry.The current compliance system is paper-based, and does notproduce high quality compliance information and is proving tobe expensive for supply chain participants to maintain. Thispaper presents an automated approach to verify heavy vehicledriver fatigue compliance. Drawing on data from a software tool(Logistics Fatigue Manager) developed by two of the authors, theautomated approach deploys signature based detectiontechniques from Intrusion Detection Systems. The resultshighlight reduced costs, improved accuracy and speed ofcompliance verification.

Item Type:	Conference Publication
Authors/Creators:	Vo, SA and Scanlan, JD and Mirowski, L and Turner, P
Keywords:	fatigue compliance, heavy vehicle, detection systems
Journal or Publication Title:	Proceedings from the Future of Information and Communication Conference 2018
Publisher:	Institute of Electrical and Electronics Engineers
Copyright Information:	Copyright 2018 IEEE
Related URLs:	UTAS Profile: Vo, SA Google Scholar: Scanlan, J UTAS Profile: Scanlan, J Google Scholar: Mirowski, L UTAS Profile: Mirowski, L Google Scholar: Turner, P UTAS Profile: Turner, P
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