1. Automated heavy vehicles in remote areas
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Automated heavy vehicles in remote areas
Dr Ronny Kutadinata, Anthony Germanchev – 1 Nov 2018

2. Acknowledgement
The project was funded by Austroads, the peak organisation of Australasian road transport and traffic agencies.
This project is part of the Austroads Network Operations program, specifically under the Freight focus area.
More details, including related publications, can be found on:

3. Context – Technology – Industry needs – Next steps
Key challenges in remote areas
Harsh environment
No comms
Source:
Context – Technology – Industry needs – Next steps

4. Context – Technology – Industry needs – Next steps
Emerging opportunities
Single vehicle automation
Various SAE level
Safety concerns on mode transition
Platooning
Electronic coupling between heavy vehicles.
Can follow as close as 6 m at 100 km/h (Bishop, 2017)
Low latency V2V communication
Various configurations
Source:
Context – Technology – Industry needs – Next steps

5. Context – Technology – Industry needs – Next steps
What kind of platooning?
Implications:
Operational framework (e.g. safety case, geofencing)
Business models and scheduling
Benefits
Source: Peloton (2018)
Context – Technology – Industry needs – Next steps

6. Context – Technology – Industry needs – Next steps
Operational use cases
Routes
Distance: 11 km to 800 km.
Road: all surfaces
Hours: 24/7/365
Ownership: LG and state
National: No, intrastate only
Vehicles
Type: triple and quad combinations
Mass: GCM 220 tonnes
Fleet: 750
Make/model: various
Safety: Telematics with IVMS, DSS
Benefits
IRR of 12.5%
Safety: less fatality and injury
Desired level: SAE3
Some fuel and maintenance
Some confirmation on the identified challenges re operational environment.
Single vehicle seems to be more attractive considering the business and operational model AHV tech untested on the vehicle combinations – what risks we are willing to tolerate?
Context – Technology – Industry needs – Next steps

7. Context – Technology – Industry needs – Next steps
Roadmap for Australia and New Zealand
Plan based on incremental technology advances
Challenges on developing robust software
No L3+ yet, plan for L1-L2 for the coming years
Focus on “known” infrastructure requirements, and possible those that benefits both machine and human (line marking, sealed)
Safety improvements are largely unproven
Trial data on system performance and safety before full-scale deployment
Social license: public confidence
Risk assessment (of failures) for geofencing
SAE Level 3+ automated driving is not yet available for use on public roads
Do not assume large safety improvements a priori from automation
Conduct trial run field test projects to produce publicly available data on system performance and safety before full-scale deployment
Confidence building for decision makers and the general public
Assess possible worst-case conditions (various kinds of failures) first, and decide which risks are acceptable in the process of determining when and where to authorise operations without drivers in some of the trucks.
Context – Technology – Industry needs – Next steps

8. QUESTIONS?
Use if required

9. Ending slide