Milestone 01

Building the Foundation

This milestone outlines the foundational work for the DRIVE S(AI)FE project, establishing the research, risk mapping, and groundwork required for AI model development and industry trials.
Abstract visualization of AI-powered truck monitoring system dashboard with clean data graphics
01

Purpose

Milestone 1 establishes the evidence base and operational context required to design an AI-enabled fatigue prevention system. The goal is to map current limitations, behavioural risks, industry needs, and the ethical/regulatory landscape.

Network diagram showing interconnected nodes representing research areas: behavioural science, AI technology, and regulatory frameworks
02

Key Components

A. Foundational Research & Mapping

  • Literature review across AI fatigue tools, behavioural science, physiological indicators, and wakefulness behaviours
  • Review of unintended consequences, trust barriers, false alarms, and psychological reactance
  • Alignment with NHVR guidelines and regulatory context

B. Industry & Operational Insights

  • Consultation planning with fleet partners and drivers
  • Identify operational contributors to fatigue such as scheduling, depot wait times, shift patterns, and workload
  • Capture user pain points: data overload, alert fatigue, privacy concerns, and adoption barriers

C. Behavioural Risk Mapping

  • Map behavioural responses to monitoring systems, including workarounds (camera blocking, posture adjustments)
  • Identify behaviours that promote alertness to support AI prediction models

D. AI, Data & Systems Scan

  • Assessment of current AI fatigue technologies, data sources, integration challenges, and opportunities for smaller operators
  • Identify edge vs cloud processing considerations

E. Ethics, Privacy & Governance Review

  • Early mapping of privacy risks, data handling requirements, consent principles, and human-centred ethical design
  • Alignment with HVNL, NHVR privacy expectations, and emerging AI governance principles
Minimalist diagram of a truck cab interior showing sensor placement locations for fatigue detection cameras and monitoring equipment
03

Primary Deliverable

A consolidated Milestone 1 Report providing comprehensive project foundation
  • Literature review insights
  • Industry consultation findings
  • Behavioural risk map
  • Technology & AI landscape scan
  • Operational fatigue contributors
  • Initial ethics/privacy framework
  • A clear problem definition that guides the prototype build in Milestone 2
04

Internal Setup

  • Governance structure setup and shared workspace creation
  • Prepare December Industry Partner Session materials
  • Coordinate Opposite–Murdoch workflows and data processes
  • Establish consultation schedules and research templates
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Milestone Summary

Milestone 1 builds the foundation of evidence, risks, behavioural insights, industry input, and ethical considerations that will shape the design and AI model development in Milestone 2.