TLI (Rail) Autonomous Rail Vehicle

Project Updates

15 June 2020

Endorsement

The Council of Australian Governments (COAG) Skills Council has endorsed the Transport and Logistics Training Package for implementation.

Case for Endorsement

The approved Transport and Logistics Training Package (Release 6.0) is now available on training.gov.au.

The following materials were approved:

  • Qualifications
  • New/Revised Units
  • IRC Minor Changes – SSO Minor changes
View list of materials

13 May 2020

The COAG Skills Council has endorsed Release 6.0 of the Transport and Logistics Training Package. Materials will be on training.gov.au soon.

19 March 2020

AISC APPROVAL

At its meeting on Tuesday, 25 February 2020, the AISC approved the Transport and Logistics Training Package Release 6.0 for referral to the COAG Skills Council for endorsement.

For more information on this project, please contact the Industry Manager.

17 December 2019

CASE FOR ENDORSEMENT SUBMITTED TO AISC

The draft Training Package materials have been submitted to the AISC.

Thank you to all stakeholders who provided valuable feedback and contributed to this project.

19 November 2019

FINAL DRAFT CASE FOR ENDORSEMENT

The draft Training Package materials have undergone independent edit and quality assurance.

The Case for Endorsement is scheduled to be submitted to the AISC in December 2019.

Thank you to all stakeholders who provided valuable feedback and contributed to this project.

13 September 2019

This project will be incorporated into Release 6.0 of the TLI Training Package.

The release will include the following Rail projects:

  • TLI (Rail) Autonomous Rail Vehicle
  • TLI (Rail) Human Factors

Final draft materials are currently undergoing Quality Assurance.

11 April 2019

The TAC has developed draft materials for this project and would like your feedback.

Feedback on draft materials closed on Tuesday, 30 April 2019 for consideration by the TAC.

Feedback will be collated and discussed at the next TAC meeting.

6 March 2019

DRAFT MATERIAL AVAILABLE

The Autonomous Rail Vehicle TAC has developed the following draft Skills Sets and new Units of Competency for this project and would like your feedback:

Manage Autonomous Rail Traffic Operations by Network Control Skill Set

  • Managing autonomous rail traffic operation by network control

Conduct Autonomous Rail Traffic Operations Skill Set

  • Respond and rectify rail traffic autonomous operation
  • Setting up rail traffic for autonomous operation
  • Closing down rail traffic from autonomous operation

The TAC has recommended the units listed above are also added to the following qualifications as General Elective units:

  • TLI42215 Certificate IV in Rail Network Control
  • TLI42615 Certificate IV in Train Driving

In addition, feedback is requested as to whether the above units should also be added to the following qualifications:

  • TLI33118 Certificate III in Rail Customer Service
  • TLI33215 Certificate III in Terminal Train Driving
  • TLI32815 Certificate III in Rail Yard Coordination

Feedback on draft materials closed on Friday, 29 March 2019 for consideration by the TAC.

Feedback will be collated and discussed at the next TAC meeting.

23 July 2018

Industry Subject Matter Experts Needed

The Transport and Logistics IRC is currently forming TAC for the TLI Autonomous Rail Vehicle project.

Your industry expertise and insight is welcome to help with this project.

TAC nominations closed on Wednesday, 8 August 2018.

11 January 2018

CASE FOR CHANGE CONSULTATION

A Case for Change has been developed by the Rail IRC to develop two new Skill Sets.

Autonomous Trains and Rail Vehicles Skill Set

This Skill Set aims to address the Rail industry’s need for skilled workers required for the safe operation of autonomous trains and rail vehicles. The purpose of this project is to ensure that the integration of autonomous trains and rail vehicles do not cause safety issues on the rail system.

Human Factors Skill Set

This Skill Set aims to address the management of human factors for rail safety work, network control, train operations and customer service.

Due to the increased use of automation within the Rail industry, the development of skills pertaining to human factors will enhance public confidence in the safety of the Australian Rail network. Operators are required to deal with and manage the public ensuring their safety whilst on the rail network. Knowledge of human factors can be used to reduce the likelihood of errors, and build more error tolerant and more resilient systems, thereby increasing safety.

The Rail IRC is seeking public feedback on this proposed Training Package work.

Download Case for Change

Please submit your feedback by Monday, 29 January 2018.

If you have any questions about this project, please contact Industry Manager.

Background

The Australian Industry and Skills Committee (AISC) originally commissioned the development of one new Skill Set for the TLI Transport and Logistics (Rail) Training Package. This Skill Set aimed to address the Rail industry’s need for workers to safely operate autonomous and remotely operated trains and rail vehicles as they are integrated into Australia’s rail system. Throughout the development process the Technical Advisory Committee identified the need for an additional Skill Set and Unit of Competency. This recommendation was supported by the Rail IRC.

This project now includes the development of:

  • 2 new Skill Set
  • 4 new Units of Competency
Download Case for Change

The Rail Industry Reference Committee (IRC) has oversight of this project, which is being facilitated by Australian Industry Standards (AIS) in consultation with industry stakeholders. A Technical Advisory Committee (TAC) will be formed for this project.

This project commenced Wednesday, 20 June 2018.

Regular updates will be posted on this page throughout the life of the project.

If you have any questions about this project, please contact Industry Manager Ron Horne.

Ron_Horne
Ron Horne
Industry Manager
Email ron.horne@australianindustrystandards.org.au

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