Accelerated and intelligent RAP data collection
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.
A project investigating whether smart bike lights will not only enhance visibility, but also provide new insight into road safety issues for cyclists.
This study will look at current Australian attitudes towards CAVs, and levers available for government to increase community acceptance and confidence.
The objective of this project is to establish a vehicle as a test bed to enable applied research by the ARRB FTS team into deployment of CAVs in Australia.
This project will examine if and how CAV modes and services can be incorporated into the Disability Standards for Accessible Public Transport 2002.
The build of standardised analysis methodology to evaluate the safety benefits of C-ITS, guiding transport agencies in regard to supporting its development.
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
This proof-of-concept project aims to develop a Vehicle to Bicycle (V2B) communication system to reduce collisions and enhance driver awareness of cyclists.
This project investigates the standardisation of safety assurances that autonomous vehicles must satisfy, and how to verify these requirements.
Development of a general framework for cooperative data fusion, integrating data coming from vehicles and infrastructure.
Preparation for the arrival of Connected and Automated Vehicles on Australian roads, and their safety, mobility and environmental benefits.
Assessment of how successful current road infrastructure is in allowing the safe and reliable use of automated vehicles, and how to fix shortcomings.
Queensland Department of Transport and Main Roads is conducting an on-road field test of C-ITS safety applications retrofitted to around 500 vehicles and road infrastructure, in Ipswich, Queensland.