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An approach of verify heavy vehicle driver fatigue compliance under Australia chain of responsibility

Citation

Vo, SA and Scanlan, J and Mirowski, L and Turner, P, An approach of verify heavy vehicle driver fatigue compliance under Australia chain of responsibility, Proceedings from the Future of Information and Communication Conference 2018, 5-6 April 2018, Singapore, pp. 307-314. ISBN 9781538620564 (2018) [Refereed Conference Paper]

Copyright Statement

Copyright 2018 IEEE

Official URL: http://saiconference.com/Conferences/FICC2018

Abstract

Heavy vehicle transportation is vital to the Australian logistics industry. However, it also experiences the highest number of work related accidents. Chain of responsibility regulations introduced by the National Heavy Vehicle Regulator (NHVR) extends obligations and liabilities for safety in heavy vehicle transport to all participants along with supply chains. As a result, finding mechanisms to support compliance with fatigue management rules has become important for the whole industry. The current compliance system is paper-based, and does not produce high quality compliance information and is proving to be expensive for supply chain participants to maintain. This paper presents an automated approach to verify heavy vehicle driver fatigue compliance. Drawing on data from a software tool (Logistics Fatigue Manager) developed by two of the authors, the automated approach deploys signature based detection techniques from Intrusion Detection Systems. The results highlight reduced costs, improved accuracy and speed of compliance verification.

Item Details

Item Type:Refereed Conference Paper
Keywords:fatigue compliance, heavy vehicle, detection systems
Research Division:Commerce, Management, Tourism and Services
Research Group:Business and Management
Research Field:Logistics and Supply Chain Management
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
UTAS Author:Vo, SA (Mr Son Vo)
UTAS Author:Scanlan, J (Dr Joel Scanlan)
UTAS Author:Mirowski, L (Dr Luke Mirowski)
UTAS Author:Turner, P (Associate Professor Paul Turner)
ID Code:123404
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-01-05
Last Modified:2019-02-25
Downloads:0

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