Timing of drowsiness events in heavy vehicle fleets

Michael G. Lenne; Michael Fitzharris

Timing of drowsiness events in heavy vehicle fleets

Monash University Accident Research Centre

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

Abstract

Data collected from long-haul trucking fleets were analysed to examine the timing of drowsiness events while driving. Drowsiness event data were collected over a two-month period from 49 trucks. Events were recorded by a commercially available camera-based system mounted on the dashboard that measures head and eyelid metrics to assess drowsiness. By the 90th minute of driving, 75% of drivers who commenced their trip between 6pm-12pm had experienced a fatigue event. Future work will incorporate measures to account for the total trip duration to more fully assess the impact of time of day and trip start time on event rates

Original language	English
Title of host publication	Proceedings of the 2016 Australasian Road Safety Conference
Place of Publication	ACT Australia
Publisher	Australasian College of Road Safety
Number of pages	3
Publication status	Published - 2016
Event	Australasian Road Safety Conference 2016: Agility, Innovation, IMPACT! - Canberra, Australia Duration: 6 Sep 2016 → 8 Sep 2016 https://us7.campaign-archive.com/?u=a4664bfed5e72009f29785051&id=3e24922e9f&e=

Conference

Conference	Australasian Road Safety Conference 2016
Abbreviated title	ACRS 2016
Country/Territory	Australia
City	Canberra
Period	6/09/16 → 8/09/16
Internet address	https://us7.campaign-archive.com/?u=a4664bfed5e72009f29785051&id=3e24922e9f&e=

Keywords

heavy vehicle
truck
drowsy
fatigue
safety

Access to Document

304215158-oaFinal published version, 247 KB

https://acrs.org.au/article/timing-of-drowsiness-events-in-heavy-vehicle-fleets/

Analysis of truck driver fatigue and distraction metrics
Fitzharris, M.
Seeing Machines Ltd
30/05/16 → 8/06/17
Project: Research

Cite this

@inproceedings{43b9e52ce31a4d318e01084e55d0e383,

title = "Timing of drowsiness events in heavy vehicle fleets",

abstract = "Data collected from long-haul trucking fleets were analysed to examine the timing of drowsiness events while driving. Drowsiness event data were collected over a two-month period from 49 trucks. Events were recorded by a commercially available camera-based system mounted on the dashboard that measures head and eyelid metrics to assess drowsiness. By the 90th minute of driving, 75% of drivers who commenced their trip between 6pm-12pm had experienced a fatigue event. Future work will incorporate measures to account for the total trip duration to more fully assess the impact of time of day and trip start time on event rates",

keywords = "heavy vehicle, truck, drowsy, fatigue, safety",

author = "Lenne, {Michael G.} and Michael Fitzharris",

year = "2016",

language = "English",

booktitle = "Proceedings of the 2016 Australasian Road Safety Conference",

publisher = "Australasian College of Road Safety",

note = "Australasian Road Safety Conference 2016 : Agility, Innovation, IMPACT!, ACRS 2016 ; Conference date: 06-09-2016 Through 08-09-2016",

url = "https://us7.campaign-archive.com/?u=a4664bfed5e72009f29785051&id=3e24922e9f&e=",

}

Lenne, MG & Fitzharris, M 2016, Timing of drowsiness events in heavy vehicle fleets. in Proceedings of the 2016 Australasian Road Safety Conference. Australasian College of Road Safety, ACT Australia, Australasian Road Safety Conference 2016, Canberra, Australian Capital Territory, Australia, 6/09/16. <https://acrs.org.au/article/timing-of-drowsiness-events-in-heavy-vehicle-fleets/>

TY - GEN

T1 - Timing of drowsiness events in heavy vehicle fleets

AU - Lenne, Michael G.

AU - Fitzharris, Michael

PY - 2016

Y1 - 2016

N2 - Data collected from long-haul trucking fleets were analysed to examine the timing of drowsiness events while driving. Drowsiness event data were collected over a two-month period from 49 trucks. Events were recorded by a commercially available camera-based system mounted on the dashboard that measures head and eyelid metrics to assess drowsiness. By the 90th minute of driving, 75% of drivers who commenced their trip between 6pm-12pm had experienced a fatigue event. Future work will incorporate measures to account for the total trip duration to more fully assess the impact of time of day and trip start time on event rates

AB - Data collected from long-haul trucking fleets were analysed to examine the timing of drowsiness events while driving. Drowsiness event data were collected over a two-month period from 49 trucks. Events were recorded by a commercially available camera-based system mounted on the dashboard that measures head and eyelid metrics to assess drowsiness. By the 90th minute of driving, 75% of drivers who commenced their trip between 6pm-12pm had experienced a fatigue event. Future work will incorporate measures to account for the total trip duration to more fully assess the impact of time of day and trip start time on event rates

KW - heavy vehicle

KW - truck

KW - drowsy

KW - fatigue

KW - safety

M3 - Conference Paper

BT - Proceedings of the 2016 Australasian Road Safety Conference

PB - Australasian College of Road Safety

CY - ACT Australia

T2 - Australasian Road Safety Conference 2016

Y2 - 6 September 2016 through 8 September 2016

ER -

Timing of drowsiness events in heavy vehicle fleets

Abstract

Conference

Keywords

Access to Document

Projects

Analysis of truck driver fatigue and distraction metrics

Cite this