This project will look to quantify the benefit of the Australian adoption of eCall, a life-saving technology aimed at reducing emergency response times, enabling autonomous contact with emergency services.
Overview and final report of the completed project, “Large Animal Activated Roadside Monitoring and Alert System”. Also recommendations for additional research.
An evaluation of C-ITS for the provision of location services in Global Navigation Satellite System (GNSS)-denied tunnel environments.
This webinar will look at results and the (safer) road ahead for the Large Animal Activated Roadside Monitoring and Alert System.
Outcomes from the trial of a Level 4 capable autonomous vehicle on public streets in and around the University of Sydney.
This project investigated the most effective traffic control measures to reduce the frequency/occurrence/severity of injuries at end of queue roadwork sites.
iMOVE Australia was at the test track to see technology from its connected motorcycle trail project in action.
This webinar presents the methods, outcomes, and recommendations from the completed “Working near traffic: Work zone end of queue study” project.
This project leverages AI-driven video analytics to improve safety and efficiency for vulnerable road users at Melbourne intersections.
Aeroperm performs more work and rejects up to 97% less heat than electric steel in the stator cores of motors, including those used in electric vehicles.
An overview of the completed “Working from home: Changes in transport demand in Perth” project, including downloadable final reports.
The outcome of this project is expected to yield reliable and consistent incident records, providing accurate statistics and better insights for enhanced decision-making.
This project focused on utilising crowd-sourced data for generating road safety insights, aimed to understand the capabilities of such data by developing two prototype applications for road infrastructure managers.
Development of a performance-based, multimodal network management framework, placing high-level directions & planning ambitions into network operating plans.
This project leverages drone video analytics data collected at over 50 roundabouts in Perth to conduct comprehensive safety analyses.
This project will look to replace subjective assessments of ADAS (Lane Departure Warning and Lane Keep Assist) with empirical metrics.