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.
History
Publication title
Proceedings from the Future of Information and Communication Conference 2018
Pagination
307-314
ISBN
9781538620564
Department/School
School of Information and Communication Technology
Publisher
Institute of Electrical and Electronics Engineers
Place of publication
Switzerland
Event title
Future of Information and Communication Conference 2018
Event Venue
Singapore
Date of Event (Start Date)
2018-04-05
Date of Event (End Date)
2018-04-06
Rights statement
Copyright 2018 IEEE
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified