SRL6354 National Heavy Vehicle Driver Competency Framework – Implementation: Identification and analysis of pre-licensing factors predicting heavy vehicle driver crash risk and analysis for national policy implications

  • Newstead, Stuart (Primary Chief Investigator (PCI))
  • Budd, Laurie (Chief Investigator (CI))

Project: Research

Project Details

Project Description

Austroads project SRL6259 Review of the National Heavy Vehicle Driver Competency Framework: Stage 3 aims to deliver nationally agreed enhancements to the current National Heavy Vehicle Driver Competency Framework (NHVDCF) with particular reference to licence training, assessment standards and materials, licence class progression arrangments and program quality oversight. One of the deliverables of the project is development of a risk-based licence class progression framework (based on driving history, age, experience etc) to inform pre-qualification and the suitability of a graduated licensing system. Implementation of the revised NHVDCF through Austroads project SRL6354 National Heavy Vehicle Driver Competency Framework – Implementation will be informed by a number of factors including the assessment of the value of the introduction of licence history-based driver eligibility criteria for individual jurisdictions. Modelling work in Victoria examining pre-licensing factors predicting heavy vehicle driver crash risk has demonstrated the potential value of introducing such criteria.

The broad objectives of this Statement of Work are to:
1. To replicate in one jurisdiction, the Victorian study into licensing factors which are predictors for future heavy vehicle crash risk.
2. Consider the results of the Victorian and new jurisdictional analysis and assess and discuss the national implications for heavy vehicle driver licence eligibility and progression criteria
StatusFinished
Effective start/end date1/07/2228/02/23

Funding

  • Austroads Ltd: A$163,103.00

Keywords

  • road safety
  • heavy vehicles
  • crash risk
  • injury outcomes
  • road trauma
  • crash outcomes
  • statistical analysis