Agilysis Partners with Anditi to Enhance Road Safety in Queensland

 

Agilysis Partners with Anditi to Enhance Road Safety in Queensland

December 16, 2024

Agilysis is proud to announce our collaboration with Anditi on a major road safety initiative for the Department of Transport and Main Roads Queensland (DTMR). The project involves conducting an AiRAP Star Rating road assessment across nearly 6,000 kilometers of Queensland’s National Land Transport Network highways.

Related News

March 23, 2026

Challenging Assumptions in Road Safety: What IRTAD 2026 Revealed About Data, AI, and Policy

The IRTAD 2026 conference highlighted a major shift in road safety practice, driven by advances in AI, connected vehicle data, and international collaboration. From explainable machine learning models delivering significant gains in fatality reduction to critical insights on data bias and ethical governance, the field is moving beyond prediction toward transparent, proactive systems. At the same time, new evidence on under-reporting, inequality, and policy effectiveness is reshaping how countries design and evaluate road safety strategies globally.
March 20, 2026

IRTAD 2026: From Reactive Analysis to Proactive Road Safety

The 2026 IRTAD Conference in Athens brought together 141 research papers under the theme "Better Road Safety Data for Better Safety Performance. The role of international road safety data in local best practice," a clear message emerged: the road safety community is fundamentally shifting from reactive collision analysis toward proactive risk assessment. This transformation, evident across presentations from Agilysis colleagues and international partners, represents both the field's greatest opportunity and its most complex challenge.
March 5, 2026

65% in a Decade? Modelling the Road to Britain’s 2035 Casualty Reduction Target

The Agilysis team of Nathan Harpham, Drishti Khatri, Dan Campsall, and Richard Owen have spent the last few weeks reviewing the new road safety casualty reduction targets with the aim of seeing how close we may get based on previous performance. The results are in some ways promising, but still fall way short of the requirement. Read on to learn more about the targets, prior performance, our modelling methodology, and how policy changes can help make rapid progress.

Contact us

Contact us to discuss your specific needs
info@agilysis.co.uk
+44 (0) 1295 731 811
X