AI-powered data dashboard for cycling safety and planning
A project in which 400 See.Sense smart bike lights will collect data for predictive safety insights for transport planners in Sydney and the Victorian Surf Coast region.
Data-driven bus impact evaluation tool for major road incidents
Development of an interactive bussing tool to accurately visualise disruptions, quantify customer impacts, and recommend actionable and right size responses.
Streamlining and integrating incident data
The outcome of this project is expected to yield reliable and consistent incident records, providing accurate statistics and better insights for enhanced decision-making.
Crowd-sourced data use in generating road safety insights
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.
Roundabout safety review using drone video analytics
This project leverages drone video analytics data collected at over 50 roundabouts in Perth to conduct comprehensive safety analyses.
The Internet of Things and the tracking and monitoring of freight
An innovative low-cost Internet of Things (IoT)-based solution providing real-time insights into freight location and condition, including maintaining cold chains.
Supply chain traceability of live Southern Rock Lobster exports
This project will develop an innovative traceability system for the Australian Southern Rock Lobster industry, leveraging computer vision and machine learning.
Road freight origination-destination inference
This project will develop a data fusion framework to infer road freight origin-destination flows using information from multiple sources.
Implementing perimeter controls for the Perth CBD
A wrap-up of the “Modelling perimeter controls: Detailed simulation project”, including conclusions and directions for further research, and a copy of the final report.
Melbourne trams: Better data to improve operation and planning
This project’s aim was to improve efficiency of tram operations, assist with route and service planning, integration, and operation of tram routes with other modes of transport.
Improving road freight outcomes with telematics data: A roadmap
The project developed a tailored roadmap for the governance of truck movement data for the purposes of informing policy, planning and network operations.
Urban freight shifts: Analysis of current trends & uncertain future
A wrap-up of the “Scenario developments for forecasting urban freight shifts” project, including downloadable copies of its final reports.
Data-driven optimisation to enhance train/tram power systems
This project aims to provide actionable insights for a sustainable future in rail transport, using data-driven optimisation methods.
Using real-time train data to improve level crossing safety
A feasibility study, examining the use of real-time train info to inform pedestrians/road users when a train will be passing, and how long the gate will be closed.
Arterial Network Smart Performance Assessment
This project will investigate/develop a data-driven assessment tool for arterial networks, using established/emerging technologies and advanced data analytics.
SCATS 2023 Student Traffic Data Innovation Challenge
Eligible students are invited to apply for the SCATS Student Traffic Data Innovation Challenge, running on 15 and 16 September 2023.