The future of mobility, innovative infrastructure and private enterprise

Transcription

1 The future of mobility, innovative infrastructure and private enterprise Dennis Walsh, General Manager (Land Transport Safety Branch) Roads Australia Transport Reform Policy Chapter Workshop, 28 April

2 Our values, our diversity 2

3 Queensland Government s objectives for the community Advance Queensland 3

4 Our strategic plan 4

5 About us Creating a single integrated transport network accessible to everyone As at 30 June 2016 we manage: As at 30 June 2016: As at 30 June 2016 there were: 33,343km state-controlled roads 3.5m drivers licensed 5m vehicles registered 3,260 taxis licensed 180m in SEQ 12.1m outside SEQ trips taken annually on bus, rail, ferry and light rail 3,029 bridges 256,151 recreational vessel registrations 997,289 boat licenses 20 ports 3.63m customers served face-to-face at 59 Customer Service Centres Our customers conducted 6.68m online services 2.5m go cards in use Over 490,000 passengers travel on the south-east Queensland network on average each day 5

6 Future Mobility 6

7 Global trends impacting Transport Mobility 7

8 Disruptive technology and business models will transform mobility smartphones Autonomous technology internet of things sharing economy seamless transactions connected consumers connected vehicles 8

9 Historic rate of change 9

10 Which way will the market go? A private ownership model where mobility services in the future are delivered primarily through privately owned vehicles A mobility-as-aservice model where mobility services in the future are delivered primarily through sharing economy business models 10

11 Fully Charged Robert Llewellyn e=youtu.be 11

12 Government Activity and Smart Infrastructure 12

13 National policy framework for land transport technology: Action Plan: Number Action Item 1 Establish a regulatory framework for testing automated vehicles. 2 Develop national operational guidelines to support the on-road use of automated vehicles. 3 Undertake priority trials and research of Intelligent Transport Systems. 4 Develop a connected vehicle (Cooperative ITS) infrastructure road map. 5 Publish a connected vehicle (Cooperative ITS) statement of intent on standards and deployment models. 6 Develop a nationally agreed deployment plan for the security management of connected and automated vehicles. 7 Investigate options to provide enhanced geo-positioning information to the land transport sector. 8 Improve the availability of open data in the transport sector. 9 Explore options to increase the uptake of telematics and other technologies for regulatory and revenue collection. 10 Evaluate low-cost technologies to improve safety at rail level crossings. 11 Explore how data from telematics and other intelligent transport systems can be used to optimise operations and planning for port precincts and intermodal terminals. 12 Develop a national framework for public transport ticketing. 13 Investigate the costs, benefits and possible deployment models for Automatic Crash Notification. 14 Explore the merits of adopting new safety and traffic management technologies. 13

14 Queensland technology pilot project 500 participants C-ITS field test demos/tests Objectives: Upskill staff, adapt systems Establish new relationships Establish test beds for research Measure safety benefits Engage the community. 14

15 Limitations that have to be overcome Radar Works in low light and poor weather, but low resolution Ultrasound Limited to short distances, low speed manoeuvres Camera Uses reflected light, so some limitations when dark Sees colour, so can be used to read signs, signals, etc. LIDAR Uses emitted light, so darkness not an issue Some weather limitations Source: Ford Source: e2e.ti.com 15

16 Convergence of connectivity and automation key to wider deployment AV can t see around corners, through objects, at high speeds, or in bad weather C-ITS expands AV view Realise a fully automated vehicle AV implements C-ITS warnings C-ITS only provide the driver with warnings 16

17 Why is government involved? AVs are dependent on governments to maintain the physical asset and provide supportive policy, legislation and regulations In addition, C-ITS is dependent on government to provide: arrangements for radio communications ITS infrastructure, data and system integration operation of a security system positioning augmentation 17

18 Geoscience Australia SBAS Pilot 18

19 Assessment of key road operator actions to support automated vehicles - context There are 873,573 total km of roads in Australia. The great majority, 640,216 km of these are local roads. In 2005 it was estimated that 43.2% of Australia s roads (377,383 km) were unsealed. A significant proportion (65% in 2013) of annual fatalities occurred on regional or remote roads. Some highways in remote areas of Australia and New Zealand are not suitable for the range of weather conditions likely to be experienced by AVs. Following heavy rains, they are often closed to traffic. 19

20 Assessment of key road operator actions to support automated vehicles Line marking Consistency is vital and noted to be problematic for some vehicle manufacturers at present. Line marking should be able to be completely removed to avoid ghosting and confusion. Static and electronic road signs Static signs (speed zone, give way, etc.) need to be consistently adopted; variations should be avoided. Electronic Signs- consideration needs to be given to the specifications of these signs to ensure that all road users (including AV) can read these signs. Care in locating and orienting signs is just as important as the information on the signs. 20

21 State-led Initiatives AVs and C-ITS Western Australia Automated shuttle bus trial (Perth Foreshore) South Australia Northern Territory Automated shuttle bus trial National coordination Queensland Cooperative and Automated Vehicle Initiative (CAVI) Automated vehicle model for Southeast Qld New South Wales C-ITS Initiative (CITI) Sydney freight priority trial Smart Innovation Centre Future Mobility Lab fund AV demonstration on Freeway Legislation for on-road trials Victoria Fit in Time On-road testing guide for OEMs ITS Grants Program Australia Capital Territory Legislation for on-road trials 21

22 Scenario : Crash and Congestion instantly detected Abnormality detection (Google) The crash is detected via systems alerting TMC operators of abnormal link performance. Status: Production, and ongoing Benefits: Greater situational awareness, supporting faster identification and verification of incidents Highlight segments where performance is excessively worse than normal Transport coordination Unplanned traffic incident management Traveller information Road network operations Planned traffic incident management Traffic engineering Current performance (red) vs Normal performance (blue) 22

23 Scenario : Emergency Response Automatic Emergency Vehicle Priority Emergency services are provided a green wave to their destination Status: Production, and ongoing Benefits: Improved travel time to events, greater safety for all road users Transport coordination Unplanned traffic incident management Traveller information Road network operations Planned traffic incident management Traffic engineering 23

24 Private Enterprise 24

25 Highly automated vehicles 25

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27 Technology is impacting the traditional infrastructure lifecycle Policy & Planning Design Construction Operation Maintenance Big data Data analytics Building Information Modelling (BIM) 3D printing Permeable pavements Recycled road surfaces e.g. Crumb Rubber Modified (CRM) binder C-ITS Managed Motorways Dynamic signage Reef Vessel Traffic Service (Reef VTS) Real time passenger information Remotely Piloted Aircraft Structural Health Monitoring Digital skin 27

28 Operations Supporting Initiatives Transport coordination Unplanned traffic incident management Traveller information Road network operations Planned traffic incident management Traffic engineering Innovative Technology Applications Using new and existing technologies and data sources in new ways. Technologies: Mobile devices and vehicles: apps, Bluetooth BoM river level sensors C-ITS (roadside, in-vehicle, portable) Applications: Fusing and analysing multiple data sources: Government (TMR, Emergency Services, BoM, Local Gov.) Open data 3 rd parties: Google, Waze, HERE C-ITS: back-of-queue warning (rear end) road works warning in-vehicle speed 28

29 Supporting initiatives Intelligent Hybrid Data trial Merging multiple datasets to create one single source of truth for speed, volume and vehicle classification data to achieve One Network. The project will develop a suite of data patching algorithms based on the relationship found between the different datasets. The outcome will set the path for future production system. Status: In development Pilot due June 2017 Benefits: Improved data coverage and quality, for operations and investment decisions. Transport coordination Unplanned traffic incident management Traveller information Road network operations Planned traffic incident management Traffic engineering 29

30 Thank you and stay connected LinkedIn Blog Department of Transport and Main Roads blog.tmr.qld.gov.au 30