Showcasing Technical Conversations That Matter  - Virtual Event 

Tuesday 1st December 2020
9:30am - 1:30pm

Hear from your Public Works peers as they guide you through their exceptional papers on topics such as Asset Management, Sustainability, Water and much more

Meet your Presenters

Gage Hodgson
Senior Professional Engineer,
David McTiernan
National Leader, Transport Safety

Safe System Review of Fatal Crashes in the ACT

A review of all fatal crashes in the ACT from 2007 to 2016 was conducted to identify common fatal crash factors across Safe System pillars (roads, speed, vehicles, people, and post-crash care) based on crash data and reports from the Australian Federal Police and Roads ACT. The method developed allowed analysis of crash factors and identification of crash patterns to determine ‘gaps’ in the System that likely contributed to the cause and/or severity of each crash. Countermeasures were developed to address these gaps across the Safe System pillars.

The crash data and reports for each fatal crash incident were reviewed by a team of road safety infrastructure and human factors experts to identify causal and severity factors contributing to each crash. These factors were categorised according to the Safe System pillars. Contributing crash factors were analysed within and across various pillars to determine trends in the data and to formulate typical fatal crash profiles.

Five typical crash profiles with correlating Safe System gaps were developed based on the data:
Motorcycle crashes (30%) - Inexperienced riders in both younger and older age brackets
Run-off road (21%) -  Non-frangible roadside hazards, younger drivers, speeding, alcohol
Intersection (19%) - Older drivers ’looking but not seeing’ or misjudging speed and distance
Head-on (13%) - Carriageways signed above Safe System speed for head-on collisions (70 km/h)
Pedestrian (12%) - Speed limit exceeds Safe System speed for vulnerable road users

Countermeasures were developed across policy, legislation, education and infrastructure in order to close gaps in the Safe System.

This paper will outline the approach applied to the ACT project and demonstrate the value and application of a similar approach to road crashes on local government roads.

Read More About Gage Hodgson

Gage has a Degree in Civil Engineering from UNSW. Since joining the Transport Safety team of ARRB in 2016, Gage has been involved in a variety of projects including road safety audits, motorway performance evaluations and instrumented vehicle studies.
Gage has developed a passion for transport safety and mobility while living in Hong Kong and Taipei when he experienced first-hand the efficient way people move.

Angus McKerral
PhD Candidate,
The University of Newcastle
Kristen Pammer
Head of School (Psychology),
The University of Newcastle

Failures of Supervision: Attention, Risk-Taking and Fatigue Behind the Wheel of a Simulated Self-Driving Car

Much of the appeal of automated vehicles (AV) relies on delegating the driving task to the vehicle’s system, yet the human driver is usually required to maintain a supervisory role during periods of automated driving. This requirement limits the user of an automated vehicle from engaging in desirable non-driving related tasks (NDRT). The capacity for human drivers to resume control of an AV therefore remains central to their safe use. Physiological measures promise to allow the vehicle system to determine when a driver is in a ready-state to transition control, particularly for level 3 automation and above.

The study employed an adapted measure of awareness in a within-subjects design to assess the quality of driver attention following an extended period of simulated automated driving. Increasing passive fatigue was hypothesised to be predictive of reduced awareness following a takeover request. Participants allocated to one of two separate conditions in which supervising drivers were either permitted to or prohibited from the use of NDRTs during automated driving. Pre- and post-drive, participants were interviewed about their experience.

Results demonstrate that supervising drivers in the NDRT-prohibited condition were found to be significantly and adversely impacted by the fatiguing effects of vehicle supervision. Participants who were permitted to engage with NDRTs did not demonstrate significant fatigue effects and reported more positive attitudes towards AVs. Personality metrics predictive of driver system engagement remain under analysis. These findings indicate the physiological and altitudinal incompatibility of current vehicle supervision requirements with the way drivers prefer to engage with AVs.

Read More About Angus McKerral

Angus McKerral is a Psychology Ph.D. candidate at the University of Newcastle. He graduated with a combined B.Arts/B.Science (Psychology)(Honours) from the Australian National University in 2017. His current research investigates driver cognition within manual and automated driving environments, including the assessment of situation awareness, risk-taking and fatigue.

Read More About Kristen Pammer

Professor Pammer is the Head of the School of Psychology. She holds qualifications in science, psychology and neuroanatomy from the University of Wollongong and the University of New South Wales. Her expertise is in applied cognitive psychology, particularly applied aspects of visual attention, such as attentional allocation in driving, reading and dyslexia. In these research contexts, she also does brain imaging research – specifically magnetoencephalographic (MEG) imaging.

Darren Shepherd
Partner/Director Project Services,

Weddin Shire Council Gets Mobile with Online Works Program 

Maintaining complex spreadsheets, second guessing service levels, collecting road asset data that no one uses, juggling budget implications, and trying to communicate the bigger picture to Council are common frustrations associated with forward works programming.  

But not so for the team at Weddin Shire Council who now deliver their works programs live via an online GIS platform with the ability to make practical engineering adjustments in the field that automatically update bottom line in real time. 

Visually engaging and easy to navigate, online mapping of the works program clearly communicates where planned works are located in the shire using traffic light colours. The integrated mobility tool automatically syncs back to the online works program allowing field staff to go paperless. And all this without the need for specialised software or IT expertise. 

Powering this innovative technology is a detailed data set collected and modelled by consulting engineering firm SHEPHERD as part of completing Council’s comprehensive road asset revaluation and 5-year works programs for reseal, re-sheet and pavement rehabilitation.   

The six-month project represents a massive step forward in Council’s road asset management approach and has resulted in the adoption of innovative processes that deliver value of money outcomes. 

For the first time, works programs were developed using defined service level metrics integrated with high definition imagery and GIS data from a full road condition survey. Effective modelling tools were also applied to the data set, balancing theory with practical delivery to ensure outcomes that meet both engineering and financial requirements.  

Read More About Darren Shepherd

Darren Shepherd is a Registered Professional Civil Engineer and has been working hands-on with councils for two decades delivering innovative asset management solutions.  Darren’s areas of expertise include, service delivery model development, asset valuations and asset management planning for councils. 


Key Event Information

Platform: Held virtually using an online webinar platform

Date: Tuesday 1st December 2020

Time: 9:30am - 1:30pm 

What you will get as a Virtual attendee 

  • Full access to all sessions/presentations 
  • Connect with presenters, sponsors and attendees
  • Engage in discussions and ask questions

Showcasing Technical Conversations That Matter

 IPWEA NSW Members  Complimentary
 IPWEA NSW Non-Members  $69.00 + GST



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Jenny Ban - Events Manager
P: (02) 8267 3006
M: 0478 804 773

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Exciting Program Coming Soon!