The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology

Michael Lenne; Jonny Kuo; Michael Fitzharris; Tim Horberry; Christine Mulvihill; Kyle Blay; Darren Wood; Mitch Peden

The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology

Michael Lenne
, Jonny Kuo
, Michael Fitzharris
, Tim Horberry
, Christine Mulvihill
, Kyle Blay
, Darren Wood
, Mitch Peden

Monash University Accident Research Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

Road safety and road transport sectors acknowledge the need to address heavy vehicle safety, both in terms of reducing the number of crashes and the flow-on impacts on productivity. Advances in technology now enable transport operators to strengthen their ability to measure and monitor in-cab driver performance in real-time as a way of complementing existing company safety policies and further ensuring they meet OHS requirements. This paper outlines a new Australian commonwealth-funded program, the Advanced Safe Truck Concept project, led by Seeing Machines in collaboration with the Monash University Accident Research Centre, Ron Finemore Transport and Volvo Group Australia. This program aims to better understand the real-world risks faced by trucking operations and their drivers, and then through this high-quality research to generate new technological solutions.

Original language	English
Title of host publication	25th ITS World Congress, Copenhagen, Denmark, 17-21 September 2018
Editors	Andrea Hržić
Place of Publication	Brussels Belgium
Publisher	ERTICO - ITS Europe
Pages	1-8
Number of pages	8
Publication status	Published - 2018
Event	ITS World Congress 2018 - The Bella Centre, Copenhagen, Denmark Duration: 17 Sept 2018 → 21 Sept 2018 Conference number: 25th https://itsworldcongress.com/

Conference

Conference	ITS World Congress 2018
Country/Territory	Denmark
City	Copenhagen
Period	17/09/18 → 21/09/18
Internet address	https://itsworldcongress.com/

Keywords

technology
fatigue
distraction
road safety
driver monitoring system (DMS)
physiology

The impacts of temporal variation and individual differences in driver cognitive workload on ECG-based detection
Yang, S., Kuo, J., Lenné, M. G., Fitzharris, M., Horberry, T., Blay, K., Wood, D., Mulvihill, C. & Truche, C., Aug 2021, In: Human Factors. 63, 5, p. 772-787 16 p.
Research output: Contribution to journal › Article › Research › peer-review

27 Link opens in a new tab Citations (Scopus)

Development of a future integrated driver monitoring solution for heavy vehicles (CRC-P)
Lenne, M. G. (Primary Chief Investigator (PCI)), Fitzharris, M. (Chief Investigator (CI)) & Horberry, T. (Associate Investigator (AI))
1/07/16 → 28/09/19
Project: Research

Cite this

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title = "The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology",

abstract = "Road safety and road transport sectors acknowledge the need to address heavy vehicle safety, both in terms of reducing the number of crashes and the flow-on impacts on productivity. Advances in technology now enable transport operators to strengthen their ability to measure and monitor in-cab driver performance in real-time as a way of complementing existing company safety policies and further ensuring they meet OHS requirements. This paper outlines a new Australian commonwealth-funded program, the Advanced Safe Truck Concept project, led by Seeing Machines in collaboration with the Monash University Accident Research Centre, Ron Finemore Transport and Volvo Group Australia. This program aims to better understand the real-world risks faced by trucking operations and their drivers, and then through this high-quality research to generate new technological solutions.",

keywords = "technology, fatigue, distraction, road safety, driver monitoring system (DMS), physiology",

author = "Michael Lenne and Jonny Kuo and Michael Fitzharris and Tim Horberry and Christine Mulvihill and Kyle Blay and Darren Wood and Mitch Peden",

note = "We acknowledge the funding received from the Commonwealth of Australia through the Cooperative Research Centre - Projects scheme and the cash and/or-kind support provided by Seeing Machines, Monash University, Ron Finemore Transport and Volvo Group Australia.; ITS World Congress 2018 ; Conference date: 17-09-2018 Through 21-09-2018",

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language = "English",

pages = "1--8",

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Lenne, M, Kuo, J, Fitzharris, M, Horberry, T, Mulvihill, C, Blay, K, Wood, D & Peden, M 2018, The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology. in A Hržić (ed.), 25th ITS World Congress, Copenhagen, Denmark, 17-21 September 2018. ERTICO - ITS Europe, Brussels Belgium, pp. 1-8, ITS World Congress 2018, Copenhagen, Denmark, 17/09/18.

The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology. / Lenne, Michael; Kuo, Jonny; Fitzharris, Michael et al.
25th ITS World Congress, Copenhagen, Denmark, 17-21 September 2018. ed. / Andrea Hržić. Brussels Belgium: ERTICO - ITS Europe, 2018. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - The Advanced Safe Truck Concept project

T2 - ITS World Congress 2018

AU - Lenne, Michael

AU - Kuo, Jonny

AU - Fitzharris, Michael

AU - Horberry, Tim

AU - Mulvihill, Christine

AU - Blay, Kyle

AU - Wood, Darren

AU - Peden, Mitch

N1 - Conference code: 25th

PY - 2018

Y1 - 2018

N2 - Road safety and road transport sectors acknowledge the need to address heavy vehicle safety, both in terms of reducing the number of crashes and the flow-on impacts on productivity. Advances in technology now enable transport operators to strengthen their ability to measure and monitor in-cab driver performance in real-time as a way of complementing existing company safety policies and further ensuring they meet OHS requirements. This paper outlines a new Australian commonwealth-funded program, the Advanced Safe Truck Concept project, led by Seeing Machines in collaboration with the Monash University Accident Research Centre, Ron Finemore Transport and Volvo Group Australia. This program aims to better understand the real-world risks faced by trucking operations and their drivers, and then through this high-quality research to generate new technological solutions.

AB - Road safety and road transport sectors acknowledge the need to address heavy vehicle safety, both in terms of reducing the number of crashes and the flow-on impacts on productivity. Advances in technology now enable transport operators to strengthen their ability to measure and monitor in-cab driver performance in real-time as a way of complementing existing company safety policies and further ensuring they meet OHS requirements. This paper outlines a new Australian commonwealth-funded program, the Advanced Safe Truck Concept project, led by Seeing Machines in collaboration with the Monash University Accident Research Centre, Ron Finemore Transport and Volvo Group Australia. This program aims to better understand the real-world risks faced by trucking operations and their drivers, and then through this high-quality research to generate new technological solutions.

KW - technology

KW - fatigue

KW - distraction

KW - road safety

KW - driver monitoring system (DMS)

KW - physiology

M3 - Conference Paper

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EP - 8

BT - 25th ITS World Congress, Copenhagen, Denmark, 17-21 September 2018

A2 - Hržić, Andrea

PB - ERTICO - ITS Europe

CY - Brussels Belgium

Y2 - 17 September 2018 through 21 September 2018

ER -

The Advanced Safe Truck Concept project: a partnership program developing future integrated driver monitoring technology

Abstract

Conference

Keywords

Research output

The impacts of temporal variation and individual differences in driver cognitive workload on ECG-based detection

Projects

Development of a future integrated driver monitoring solution for heavy vehicles (CRC-P)

Cite this